Mobile CDS - mmW / LTE Simulator - Mobile CAD

Dr. Edwin Hernandez
Dr. Edwin HernandezOwner at EGLA COMM - Music/TV/Video Cloud to Cable TV | Wireless | Patent and IP Expert em EGLA COMMUNICATIONS
1
Mobile	Computer	Deterministic	Simulation
Urban	Environment	RF	Simulation	from	LTE	to	mmW
Smart	Cities,	3G,	from	100MHz	to	THz	(or	more)
2
OUR	BACKGROUND
Mobile CDS or Mobile Computer Deterministic Simulator is an RF Propagation
and Simulation Environment that was created after many years of R&D in the
areas of electromagnetics and mobile communications. Mobile CDS is a copyright
software package created by S.O.L Wireless, LLC and now represented by EGLA
COMMUNICATIONS. This tools is the result of several years of R&D conducted by
S.O.L Engineers.
EGLA COMMUNICATIONS uses Mobile CDS, provides hosting in its cloud
environment, and integrates its simulation RF paremeters with MobileCAD.
MobileCAD is a wireless emulation patented tool (7231330) that generates LTE /
Smart Cities Simulation environments with base stations and mobile phones with
RF Characterization created byMobileCDS
3
OUR	TEAM
Salvador Sibecas, Highly innovative with a strong background in RF signal propagation, RF
circuits design/testing and digital communications protocols (MAC/PHY layers). Hold
twenty-seven issued patents and several other applications have been submitted to the
USPTO. Worked at Motorola and Blackberry/RIM
Dr. Edwin Hernandez, Owner at EGLA COMMUNICATIONS with patents in wireless
simulation and emulation licensed by major mobile phone manufacturers and 10 issued
patents worked for Microsoft and Motorola, PhD in Computer Enginieering
Rafael Reyes. Electrical engineer with MS in Comp Science with broad experience in
government projects, Motorola and Blackberry in wireless systems.
4
TABLE	OF	CONTENTS
q Introductionto Mobile-CDS
q Tool components diagram
q Computational engine description
q Protocols Toolbox
q 3D databases Toolbox
q Material properties
q Antenna toolbox
q Analysis/post-processingtoolbox.
q Simulation results.
o LTE data rate analysis.
o mmW / Radar Analysis
5
INTRODUCTION
Mobile-CDS is a 3D deterministic propagation tool with unlimited potential in areas such as; RF
characterization of specific regions, wireless protocol evaluation and military applications. Its internal engine
is based on ray-tracing technology and the code is fully parallelized.
From the comfort of his or her office, using Mobile-CDS the wireless system engineer is able to change
several simulation parameters (i.e., the TX and RX antenna height and gain patterns, the carrier frequency,
material properties, propagation environment, etc.) and determine their impact on the received signal.
Product design cycle time is greatly reduced and money is saved by avoiding expensive and time consuming
field data collection campaigns. Field data is only gathered at the end of the design cycle for verification
purposes.
During the next hour detailed characteristics of the tool and some of its capabilities will be presented. We
hope that during this time you all enjoy the presentation and if there are questions, feel free to ask.
INTRODUCTION
mobile
CDS
Mobile CDS – The Software
Software and Source Code in C/C++ - Visual Studio
Ray Tracing and Simulation Models.
6
-PTX 1	watt	(+30	dBm)
-Fc 5.0	GHz
-TX	ants. Half-wave	dipole
-HTXd 0.75	meters	
(on	the	roof	of	
the	vehicle)
-RX	ant. Half	wave	dipole
-HRX 0.5	meters
-Area Outdoor/indoor
PRX
(dBm)
Features
7
q Simple to use GUI supporting the following functionalities:
Ø Protocol generation.
Ø 3D databases (importing, exporting, cloning, cropping, etc.).
Ø Propagation analysis (received power, delay spread, co-channel, etc.).
Ø Computational engine settings.
Ø Materialmedia library.
Ø Graphics.
q Algorithms supporting LOS (line of site) reflection and transmissions and diffraction propagating modes are build in the original code.
Geometrical optics is used to approximate the reflected and transmitted fields. UTD is used to estimate the over the roof and side walls
diffracted fields.
q In addition to the original facet format, the tool is able to handle other 3D databases formats such as .kml. Both, flat and undulated terrains
can be incorporated into the analysis as well as any objects like building, trees and vehicles.
q No limitation on the type of environment used in the simulation; urban, suburban or rural.
q Able to incorporate in the analysis complex antenna patterns represented by their Eq and Efcomponents. The antenna patterns can be
generatedusing an electromagneticsolver (XFDTD), anechoic chamber measurements or data provided by a vendor.
q Throughout	the	ray-tracing	process,	the	program	tracks	both	the	magnitude and	the	phase of	the	electromagnetic	wave.	Complex reflection	and	
transmission	coefficients	are	computed	at	each	incident	point.	This	feature	allows	the	system	engineer	to	analyzed	not	only	SISO	(single	input	
single	output)	but	also	any	diversity	scheme	and	MIMO	(multiple	input	multiple	output)	channels.
8
Simulation	of	LTE	and	Smart	Cities
3G/4G LTE ad 4G are used in modern communication systems for mobile devices
in cities and towns around the globle.
3G – 5G uses high frequencies rangingin 500 MHz to 5 GHz.
MobileCDS is capable of simulating LTE/iOT Systems and we present a use case
with LTE
9
Simulation	of	Multi-millimiter Wave	/	Radar
mmW is used in modern communication systems for RF Backhaul for Multi-Gigabit
links as well as characterization ofimages both in civil as militaryapplications.
mmW uses ultra-high frequencies rangingin 10’s to 100’s of GHz.
The advantage of millimeter wave radiation is that, in addition to clear weather
day and night operation, it can also be used in low visibility conditions such as in
smoke, fog, clouds and even sandstorms. In this way, millimeter wave imaging
expands our vision bylettingus “see” things under poor visibilitycondition
MobileCDS is capable of ultra-high frequency simulation and we will present a use
case at 6 and 28 GHz.
10
Data
Processing
Engine
User
Interface
Computational
Engine
Protocol
Toolbox
3D Database
Toolbox
Material
Properties
Toolbox
Antennas
Toolbox
Analysis
Toolbox
Simulation
Data
Presentation
Figure 1
TOOL	COMPONENTS	DIAGRAM
COMPUTATIONAL ENGINE
The	computational	window	is	used	to	initialize	some	
of	the	propagation	parameters	needed	to	run	the	
program.	These	include:
o The	number	of	transmitted	wavefronts.
o The	number	of	bounces	before	a	wavefront	is	
terminated.
o The	propagation	modes	(LOS,	reflection	and	
transmissions	 and	diffraction).
o Outdoors	only	(faster)	or	both	outdoor	and	
indoor.
Computation	Engine
Mobile-CDS	includes	a	state	of	the	art	3D	
databases	toolbox.	It	allows	the	user	to	
perform	the	following	operations:
o Import	3D	databases	in	one	of	the	
following	formats;	Facet,	KML	and	TIN.
o Combine	terrain	and	3D	objects	(buildings,	
vehicles,	trees,	etc.).
o Crop	a	section	of	the	3D	databases.
o Assign	different	electrical	properties	to	
different	objects	included	in	the	databases.
o Delete	specific	objects.
o Duplicate	databases
3D	Databases
Cars
Included
3D	Databases	:	KML,	Facet,	TIN
Selected
Buildings
Loading Urban Terrains and	Buildingsfor RF/mmW Simulations
Propagation in 3D Database
14
Vehicles	on	the	street Propagating	rays
The	wireless	protocol	toolbox	includes	both,	
hardcoded	and	user	defined	protocols	
specifications.	The	program	uses	the	protocol	
specifications	in	order	to	estimate	data	rate	and	
throughput	statistics	in	the	simulated	region.
Wireless	Protocol	Toolbox
MATERIAL PROPERTIES TOOLBOX
Mobile-CDS	assigns	
electrical	properties	to	the	
building	materials	in	order	
to	compute	the	amount	of	
energy	reflected,	
transmitted	and	diffracted	
as	signals	bounce	within	the	
propagation	environment.	
Each	material	is	
characterized	by	its	complex	
dielectric	constant	and	
thickness.	
Material	Properties	ToolBox
Importedhead and hand
measurements at 1.8 GHz
Ideal half-wave dipole
Antenna	Toolbox
Antenna	Toolbox
Mobile-CDS	uses	3D	antenna	patterns	in	all	of	its	
simulations.	The	patterns	are	specified	in	term	of	
their	complex	Eqand	Efelectric	field	components.	
This	allows	the	program	to	track	both,	the	
magnitude	and	the	phase	of	the	signal	as	it	
propagates	through	the	environment.	Patterns	
generated	by	antenna	manufacturers,	measured	in	
an	anechoic	chamber	or	generated	using	an	
electromagnetic	solver	such	as	XFDTD,	can	easily	by	
converted	into	.ant	format	and	use	in	the	simulation	
in	order	to	produce	more	accurate	results.18.0 dBi TX antenna pattern. Both, TX and
RX patterns are represented by their
complex Etheta and Ephi electric fields
components.
Analysis	and	Post	Processing
Mobile-CDS	includes	an	analysis	engine,	which	
allow	it	to	carry	out	several	post-processing	
functions	on	the	simulation	data	generated.	These	
are	just	a	few:	
o RF	coverage.
o RMS-Delay	estimates.
o Throughput	calculations.	
o Interference	analysis.
In	addition,	the	program	outputs	the	results	in	an	
enhanced	file	format,	which	allows	the	system	
engineer	to	post-process	the	data	using	one	of	
several	scripting	languages	such	as	Matlab	or	
Python.
Receivers	Along	High	
Resolution	Linear	Path
Receivers	On	Horizontal	Plane
Receivers	On	Vertical	Plane
Analysis	and	Post	Processing
Parameter Value
Wireless
Protocol
LTE
TX frequency
(MHz)
2110
TX total average
power (dBm)
44.8
Htx (meters) 15
TX antenna
pattern
18.0 dBi, 4-sectorS 60
degrees pattern
TX Losses 6.0 dB
Hrx (meters) 2.0
RX antenna
pattern
Ideal half-wave
dipole
RX antenna
efficiency (%)
50
Diversity gain
(dB)
3
Propagation
Environment
Heavily populated
urban
LTE	Throughput	 Simulation	Parameters
Note:	The	simulation	is	representative	of	the	coverage	generated	by	a	
single	base	station.	Co-Channel	interference	is	not	included	in	the	
simulation	results.Receivers	On	
Horizontal	Plane
3D	Buildings
LTE	Protocol	 Specifications
LTE	Simulation	Sample
Data	Rate
(Mbps)
RX	Power
(dBm)
LTE	SIMULATION	RESULTS	(DATA	RATE	ANALYSIS)
LTE	SIMULATION	RESULTS	(DATA	RATE	ANALYSIS)
64-QAM
16-QAM
QPSK
Sector 221
Sector 220
Sector 218
Sector 216
LTE	SIMULATION	RESULTS	(DATA	RATE	ANALYSIS)
Parameter Value
TX Signal Sinusoid
TX frequency (MHz) 2110
TX average power (dBm) 0
Htx (meters) 2000
TX antenna pattern
18.0 dBi, 1-sector 60
degrees pattern
TX antenna vertical tilt
(deg) 45
Hrx (meters) 2000
RX antenna pattern
18.0 dBi, 1-sector 60
degrees pattern
RX antenna vertical tilt
(deg) 45
Propagation
Environment
Outdoor, heavily
populated urban
Speed (mph) 200
25
Radar Simulation Parameters
TX Antenna
ReceiversFigure 13
MONO-STATIC	RADAR	SIMULATION	RESULTS
Parameter Value
Delay Spread (ns) 1185.0
Coherence BW (MHz) 0.84
Doppler Spread (Hz) 98
Coherence Time (ms) 10.3
26
Radar Simulation Parameters
Note: Results in the Value column
represent the 50%.
MONO-STATIC	RADAR	SIMULATION	RESULTS
27
3D Buildings Databases
Isotropic	Antenna
Highly	Directional	Antenna Simulation	Results
Parameter Value
TX antenna heights (meters) 5, 40 and 100
Carrier frequencies (GHz) 0.9, 6.0 and 28.0
TX antenna Isotropic
RX antenna height (meters) 1.7
RX antenna Isotropic
Propagation environment
Highly
populated urban
Propagation mode Outdoor only
Computationalmodes
LOS, reflections
and diffractions
Analysis type
Path loss and
delay spread
Coverage region radius
(meters)
800
Propagation model Deterministic
TX direction Downlink
Simulation Parameters Values.
PATH	LOSS	RMS	DELAY
28
PATH	LOSS/RMS-DELAY	RESULTS
(HTX	=	40	m,	Fc	=	0.9,	6.0,	28.0	GHz)
29
PATH	LOSS/RMS-DELAY	RESULTS
(HTX	=	40	m,	Fc	=	0.9,	6.0,	28.0	GHz)
30
PATH	LOSS/RMS-DELAY	RESULTS
(HTX	=	5,	40	and	100	m,	Fc	=	6.0	GHz)
31
PATH	LOSS/RMS-DELAY	RESULTS
(HTX	=	5,	40	and	100	m,	Fc	=	6.0	GHz)
32
RX	ENVELOPE	CORRELATION	RESULTS
(NLOS,	HTX	=	40	m,	Fc	=	6.0	GHz)
CONCLUDING	REMARKS
We	believe	the	material	presented	would	have	an	impact	in	your	product	design	cycle.	
The	simulations	included	gives	an	indication	of	just	some	of	the	capabilities	available	in	
Mobile-CDS.	The	power	of	the	tool	is	greatly	enhanced	by	post-processing	the	data	
stored	in	an	extended	file	format	made	available	to	the	system	engineer	after	each	
run.	Complex	studies	of	diversity	schemes	(switch,	time,	frequency,	 gain,	MRC),	MIMO	
channels	and	generation	of	empirical	models	for	specific	environments	 are	readily	
available.	
Additionally,	 MobileCDS is	suitable	for	testing	at	high	GHz	bands	or	even	THz	
depending	 on	computing	 power,	memory,	and	level	of	detail	required.	
However,	it	should	be	emphasize	the	capability	this	state	of	the	art	program	has	to	
lower	production	 cycle	time	and	cost	by	avoiding	costly	and	time	consuming	 data	
collection	in	the	field.
Simulation	to	Emulation
34
Our	Emulator	enables
• Load	results	from	MobileCDS
• Software	reference	for	the	MobileCADPlatform	using	
2G/UMTS/3G/4G
• Software	reference	for	the	Mobile	IP	Proxy	protocol	implemented	
using	Mobile	IP	
• Test	cases	and	reference	implementation	using	Wi-Fi	for	
emulation	
• Implementation	efforts	for	3	nodes	with	several	sectors	and	
multiple	devices	for	emulation
• Support	and	license	to	software	tools	and	algorithms
The	fastest	way	to	test	your	mobile	devices	and	location-based	
handover!
Simulation	to	Emulation
35
Emulation	Process
36
!
• Covers	a	system	with	the	EPC	(Core	Network)	and	faders
• Changes	to	AWGN,	RSSI,	BER,	others
• Playback	from	a	storage	medium	(File)
• Automated	Testing	(Controller)
RSSI	Drive	Test:	-120dBm	
To -60dBm
!
Emulation	Process
37
• Emulation	of	software	and	infrastructure	in	3G/4G	Systems	
and	any	packet-based	communications	network
• Drive	Test	performance	characterization	
• Validation	of	Media	streaming
• Validation	of	Inter-RAT	Handovers	and	UE	Performance		
• Testing	mobile	phone	firmware
CONCLUDING	REMARKS
MobileCAD and	MobileCDS can	work	in	conjunction	and	used	to	simulate	many	
scenarios	by	creating	a	simulation	environment	 and	regenerating	it	into	a	real	
emulated	scenario.		
Design	in	LTE/Radar	networks	can	be	quickly	emulated	using	both	tools	and	
technologies.	
Again,	we	appreciate	the	time	taken	by	those	of	you	present
Patent Portfolio
Already Licensed
by some phone
manufacturers
3 Issued Utilities:
#7,231,330
#7,697,508
#8,213,417
Priority Date:
All on July 31, 2003
2 Issued Utility:
# 9,071,957
# 9,338,629
Pending Utility:
WO 2015/054501
Provisionals:
July 27, 2012
Feb 25, 2013
Oct 9, 2013
Apr 28, 2015
1 Provisional:
Dec 18, 2014
39
Licensing	Opportunities
40
• Software	and	patents	available	for	licensing
• Exclusive	or	non-Exclusive	Rights
• Collaboration	and	technical	assistance	available
• Software	as	a	Service	– Cloud-based	Access	to	Simulation	
Instances
• Integration	to	existing	platforms	with	our	experts
Contact	Us
edwinhm@eglacorp.com |	www.eglacomm.net
©	2017	– EGLA	COMMUNICATIONS
751	Park	of	Commerce	Dr.	Suite	128,	
Boca	Raton,	FL,	33487
For	Licensing
Edwin	A.	Hernandez,	PhD
Chief	Technology	Officer
(561)	306	4996
1 de 41

Recomendados

Second screen prototype for broadcasted digital tv users in ISDB-Tb Standard por
Second screen prototype for broadcasted digital tv users in ISDB-Tb StandardSecond screen prototype for broadcasted digital tv users in ISDB-Tb Standard
Second screen prototype for broadcasted digital tv users in ISDB-Tb StandardAndy Juan Sarango Veliz
383 visualizações2 slides
Skoltech fss workshop2014_lisi_v01 por
Skoltech fss workshop2014_lisi_v01Skoltech fss workshop2014_lisi_v01
Skoltech fss workshop2014_lisi_v01Marco Lisi
495 visualizações21 slides
Final Report of Project A Low por
Final Report of Project A LowFinal Report of Project A Low
Final Report of Project A LowJan Salomon
366 visualizações21 slides
TINA showcase: Introduction por
TINA showcase: IntroductionTINA showcase: Introduction
TINA showcase: Introductionmas90
433 visualizações28 slides
Network Planning Tool for Securing Critical Infrastructures por
Network Planning Tool for Securing Critical InfrastructuresNetwork Planning Tool for Securing Critical Infrastructures
Network Planning Tool for Securing Critical InfrastructuresVTT Technical Research Centre of Finland Ltd
991 visualizações26 slides
2021 itu challenge_reinforcement_learning por
2021 itu challenge_reinforcement_learning2021 itu challenge_reinforcement_learning
2021 itu challenge_reinforcement_learningLASSEMedia
1.4K visualizações43 slides

Mais conteúdo relacionado

Mais procurados

Implementation of Algorithms For Multi-Channel Digital Monitoring Receiver por
Implementation of Algorithms For Multi-Channel Digital Monitoring ReceiverImplementation of Algorithms For Multi-Channel Digital Monitoring Receiver
Implementation of Algorithms For Multi-Channel Digital Monitoring ReceiverIOSR Journals
251 visualizações5 slides
VTT Space technologies por
VTT Space technologiesVTT Space technologies
VTT Space technologiesVTT Technical Research Centre of Finland Ltd
1.1K visualizações35 slides
Embedded Electronics for Telecom DSP por
Embedded Electronics for Telecom DSPEmbedded Electronics for Telecom DSP
Embedded Electronics for Telecom DSPCPqD
513 visualizações37 slides
5G live virtual classroom - trainig program por
5G live virtual classroom - trainig program5G live virtual classroom - trainig program
5G live virtual classroom - trainig programNordinRamli
79 visualizações17 slides
IRJET- Design and Analysis of Passive Multi-Static Radar System por
IRJET-  	  Design and Analysis of Passive Multi-Static Radar SystemIRJET-  	  Design and Analysis of Passive Multi-Static Radar System
IRJET- Design and Analysis of Passive Multi-Static Radar SystemIRJET Journal
24 visualizações3 slides
International Journal on AdHoc Networking Systems (IJANS) por
International Journal on AdHoc Networking Systems (IJANS)International Journal on AdHoc Networking Systems (IJANS)
International Journal on AdHoc Networking Systems (IJANS)pijans
11 visualizações2 slides

Mais procurados(20)

Implementation of Algorithms For Multi-Channel Digital Monitoring Receiver por IOSR Journals
Implementation of Algorithms For Multi-Channel Digital Monitoring ReceiverImplementation of Algorithms For Multi-Channel Digital Monitoring Receiver
Implementation of Algorithms For Multi-Channel Digital Monitoring Receiver
IOSR Journals251 visualizações
Embedded Electronics for Telecom DSP por CPqD
Embedded Electronics for Telecom DSPEmbedded Electronics for Telecom DSP
Embedded Electronics for Telecom DSP
CPqD513 visualizações
5G live virtual classroom - trainig program por NordinRamli
5G live virtual classroom - trainig program5G live virtual classroom - trainig program
5G live virtual classroom - trainig program
NordinRamli79 visualizações
IRJET- Design and Analysis of Passive Multi-Static Radar System por IRJET Journal
IRJET-  	  Design and Analysis of Passive Multi-Static Radar SystemIRJET-  	  Design and Analysis of Passive Multi-Static Radar System
IRJET- Design and Analysis of Passive Multi-Static Radar System
IRJET Journal24 visualizações
International Journal on AdHoc Networking Systems (IJANS) por pijans
International Journal on AdHoc Networking Systems (IJANS)International Journal on AdHoc Networking Systems (IJANS)
International Journal on AdHoc Networking Systems (IJANS)
pijans11 visualizações
Cognitive Technique for Software Defined Optical Network (SDON) por CPqD
Cognitive Technique for Software Defined Optical Network (SDON)Cognitive Technique for Software Defined Optical Network (SDON)
Cognitive Technique for Software Defined Optical Network (SDON)
CPqD841 visualizações
Ku kaband experiment report 2006 por Dr.Joko Suryana
Ku kaband experiment report 2006Ku kaband experiment report 2006
Ku kaband experiment report 2006
Dr.Joko Suryana1.2K visualizações
HACKING THE WIRELESS WORD WITH SOFTWARE DEFINED RADIO por chandanpatelvns1947
HACKING THE WIRELESS WORD WITH SOFTWARE DEFINED RADIOHACKING THE WIRELESS WORD WITH SOFTWARE DEFINED RADIO
HACKING THE WIRELESS WORD WITH SOFTWARE DEFINED RADIO
chandanpatelvns1947529 visualizações
Unit 1 introduction to software defined radios por JAIGANESH SEKAR
Unit 1   introduction to software defined radiosUnit 1   introduction to software defined radios
Unit 1 introduction to software defined radios
JAIGANESH SEKAR10.9K visualizações
Wireless multimedia sensor networking por Kedar Kumar
Wireless multimedia sensor networkingWireless multimedia sensor networking
Wireless multimedia sensor networking
Kedar Kumar121 visualizações
Ics telecom 150828 por Ney Molina
Ics telecom 150828Ics telecom 150828
Ics telecom 150828
Ney Molina443 visualizações
Troubleshooting Coherent Optical Communication Systems por CPqD
Troubleshooting Coherent Optical Communication SystemsTroubleshooting Coherent Optical Communication Systems
Troubleshooting Coherent Optical Communication Systems
CPqD1.5K visualizações
High Capacity Optical Access Networks por CPqD
High Capacity Optical Access NetworksHigh Capacity Optical Access Networks
High Capacity Optical Access Networks
CPqD970 visualizações
Unit 2 sdr architecture por JAIGANESH SEKAR
Unit 2   sdr architectureUnit 2   sdr architecture
Unit 2 sdr architecture
JAIGANESH SEKAR4.5K visualizações
Software defined radio technology : ITB research activities por Dr.Joko Suryana
Software defined radio technology : ITB research activitiesSoftware defined radio technology : ITB research activities
Software defined radio technology : ITB research activities
Dr.Joko Suryana1.5K visualizações
Resume_Ray_OConnell_2015_1 por Ray O'Connell
Resume_Ray_OConnell_2015_1Resume_Ray_OConnell_2015_1
Resume_Ray_OConnell_2015_1
Ray O'Connell174 visualizações
CPqD at Optical Communication Ecosystem - Last/Next 10 years and R&D&I opport... por CPqD
CPqD at Optical Communication Ecosystem - Last/Next 10 years and R&D&I opport...CPqD at Optical Communication Ecosystem - Last/Next 10 years and R&D&I opport...
CPqD at Optical Communication Ecosystem - Last/Next 10 years and R&D&I opport...
CPqD429 visualizações
Next Generation Wireless Access for 5G - Motorola por Prashant Panigrahi
 Next Generation Wireless Access for 5G - Motorola Next Generation Wireless Access for 5G - Motorola
Next Generation Wireless Access for 5G - Motorola
Prashant Panigrahi3.6K visualizações

Destaque

rf planning por
rf planningrf planning
rf planningTosin Adekunle
8.2K visualizações100 slides
Kml Basics Chpt 1 Overview por
Kml Basics Chpt  1   OverviewKml Basics Chpt  1   Overview
Kml Basics Chpt 1 Overviewtcooper66
1.6K visualizações16 slides
Kml Basics Chpt 3 Geometry por
Kml Basics Chpt  3   GeometryKml Basics Chpt  3   Geometry
Kml Basics Chpt 3 Geometrytcooper66
1.7K visualizações25 slides
Rf planning umts with atoll1 por
Rf planning umts with atoll1Rf planning umts with atoll1
Rf planning umts with atoll1Abdulqader Al-kaboudei
7.1K visualizações63 slides
Becoming a Smarter City by Analyzing & Visualizing Spatial Data por
Becoming a Smarter City by Analyzing & Visualizing Spatial DataBecoming a Smarter City by Analyzing & Visualizing Spatial Data
Becoming a Smarter City by Analyzing & Visualizing Spatial DataPatrick Stotz
1.8K visualizações23 slides
Kml and Its Applications por
Kml and Its ApplicationsKml and Its Applications
Kml and Its ApplicationsAshok Basnet
2.3K visualizações29 slides

Destaque(20)

rf planning por Tosin Adekunle
rf planningrf planning
rf planning
Tosin Adekunle8.2K visualizações
Kml Basics Chpt 1 Overview por tcooper66
Kml Basics Chpt  1   OverviewKml Basics Chpt  1   Overview
Kml Basics Chpt 1 Overview
tcooper661.6K visualizações
Kml Basics Chpt 3 Geometry por tcooper66
Kml Basics Chpt  3   GeometryKml Basics Chpt  3   Geometry
Kml Basics Chpt 3 Geometry
tcooper661.7K visualizações
Becoming a Smarter City by Analyzing & Visualizing Spatial Data por Patrick Stotz
Becoming a Smarter City by Analyzing & Visualizing Spatial DataBecoming a Smarter City by Analyzing & Visualizing Spatial Data
Becoming a Smarter City by Analyzing & Visualizing Spatial Data
Patrick Stotz1.8K visualizações
Kml and Its Applications por Ashok Basnet
Kml and Its ApplicationsKml and Its Applications
Kml and Its Applications
Ashok Basnet2.3K visualizações
Kml Basics Chpt 2 Placemarks por tcooper66
Kml Basics Chpt  2   PlacemarksKml Basics Chpt  2   Placemarks
Kml Basics Chpt 2 Placemarks
tcooper666.9K visualizações
Kml Basics Chpt 4 Styles & Icons por tcooper66
Kml Basics Chpt  4   Styles & IconsKml Basics Chpt  4   Styles & Icons
Kml Basics Chpt 4 Styles & Icons
tcooper663.9K visualizações
Using geobrowsers for thematic mapping por Bjorn Sandvik
Using geobrowsers for thematic mappingUsing geobrowsers for thematic mapping
Using geobrowsers for thematic mapping
Bjorn Sandvik1.5K visualizações
Kml Basics Chpt 5 Overlays por tcooper66
Kml Basics Chpt  5   OverlaysKml Basics Chpt  5   Overlays
Kml Basics Chpt 5 Overlays
tcooper661.4K visualizações
Managing Spatial Data for Telecommunications Using FME por Safe Software
Managing Spatial Data for Telecommunications Using FMEManaging Spatial Data for Telecommunications Using FME
Managing Spatial Data for Telecommunications Using FME
Safe Software2K visualizações
Create Your KML File by KML Editor por wang yaohui
Create Your KML File by KML EditorCreate Your KML File by KML Editor
Create Your KML File by KML Editor
wang yaohui5.9K visualizações
radio propagation por ATTO RATHORE
radio propagationradio propagation
radio propagation
ATTO RATHORE4K visualizações
Mobile CDS LTE Simulation Demo por Dr. Edwin Hernandez
Mobile CDS LTE Simulation Demo Mobile CDS LTE Simulation Demo
Mobile CDS LTE Simulation Demo
Dr. Edwin Hernandez501 visualizações
Big Data Analytics in RF - LTE - 4G Environments por Dr. Edwin Hernandez
Big Data Analytics in RF - LTE - 4G EnvironmentsBig Data Analytics in RF - LTE - 4G Environments
Big Data Analytics in RF - LTE - 4G Environments
Dr. Edwin Hernandez3.8K visualizações
Alex optimization guidelines - retainability huawei - rev.01 por Victor Perez
Alex    optimization guidelines - retainability huawei - rev.01Alex    optimization guidelines - retainability huawei - rev.01
Alex optimization guidelines - retainability huawei - rev.01
Victor Perez11.7K visualizações
Fading and Large Scale Fading por vickydone
 Fading and Large Scale Fading Fading and Large Scale Fading
Fading and Large Scale Fading
vickydone13.8K visualizações
Internet-enabled GIS for Planners por John Reiser
Internet-enabled GIS for PlannersInternet-enabled GIS for Planners
Internet-enabled GIS for Planners
John Reiser874 visualizações
02 probabilistic inference in graphical models por zukun
02 probabilistic inference in graphical models02 probabilistic inference in graphical models
02 probabilistic inference in graphical models
zukun1.1K visualizações
Simulation of urban mobility (sumo) prest por Jaskaranpreet Singh
Simulation of urban mobility (sumo) prestSimulation of urban mobility (sumo) prest
Simulation of urban mobility (sumo) prest
Jaskaranpreet Singh6.4K visualizações

Similar a Mobile CDS - mmW / LTE Simulator - Mobile CAD

SOFTWARE DEFINED RADIO por
SOFTWARE DEFINED RADIOSOFTWARE DEFINED RADIO
SOFTWARE DEFINED RADIOKartikeyPatwal
250 visualizações27 slides
Final2 por
Final2Final2
Final2Srinivas k
364 visualizações25 slides
Signal Classification and Identification for Cognitive Radio por
Signal Classification and Identification for Cognitive RadioSignal Classification and Identification for Cognitive Radio
Signal Classification and Identification for Cognitive RadioIRJET Journal
5 visualizações5 slides
LORA BASED DATA ACQUISITION SYSTEM por
LORA BASED DATA ACQUISITION SYSTEMLORA BASED DATA ACQUISITION SYSTEM
LORA BASED DATA ACQUISITION SYSTEMIRJET Journal
6 visualizações7 slides
1.pptx por
1.pptx1.pptx
1.pptxVenkatesanSatheeswar
8 visualizações103 slides
Mobile Multimedia Comm: Technology Dimensions por
Mobile Multimedia Comm: Technology DimensionsMobile Multimedia Comm: Technology Dimensions
Mobile Multimedia Comm: Technology DimensionsDr. Aloknath De
231 visualizações16 slides

Similar a Mobile CDS - mmW / LTE Simulator - Mobile CAD(20)

SOFTWARE DEFINED RADIO por KartikeyPatwal
SOFTWARE DEFINED RADIOSOFTWARE DEFINED RADIO
SOFTWARE DEFINED RADIO
KartikeyPatwal250 visualizações
Final2 por Srinivas k
Final2Final2
Final2
Srinivas k364 visualizações
Signal Classification and Identification for Cognitive Radio por IRJET Journal
Signal Classification and Identification for Cognitive RadioSignal Classification and Identification for Cognitive Radio
Signal Classification and Identification for Cognitive Radio
IRJET Journal5 visualizações
LORA BASED DATA ACQUISITION SYSTEM por IRJET Journal
LORA BASED DATA ACQUISITION SYSTEMLORA BASED DATA ACQUISITION SYSTEM
LORA BASED DATA ACQUISITION SYSTEM
IRJET Journal6 visualizações
Mobile Multimedia Comm: Technology Dimensions por Dr. Aloknath De
Mobile Multimedia Comm: Technology DimensionsMobile Multimedia Comm: Technology Dimensions
Mobile Multimedia Comm: Technology Dimensions
Dr. Aloknath De231 visualizações
4G LTE Mobile Broadband Overview por Sigit Priyanggoro
4G LTE Mobile Broadband Overview4G LTE Mobile Broadband Overview
4G LTE Mobile Broadband Overview
Sigit Priyanggoro9.2K visualizações
Development of receiver modules for 3G UMTS MC por hari chandana
Development of receiver modules for 3G UMTS MCDevelopment of receiver modules for 3G UMTS MC
Development of receiver modules for 3G UMTS MC
hari chandana159 visualizações
510MRF42-44_22P_IndustryTRENDS por Suresh Ram
510MRF42-44_22P_IndustryTRENDS510MRF42-44_22P_IndustryTRENDS
510MRF42-44_22P_IndustryTRENDS
Suresh Ram105 visualizações
Innovations in Edge Computing and MEC por Sabidur Rahman
Innovations in Edge Computing and MECInnovations in Edge Computing and MEC
Innovations in Edge Computing and MEC
Sabidur Rahman1.7K visualizações
Fu3310321039 por IJERA Editor
Fu3310321039Fu3310321039
Fu3310321039
IJERA Editor528 visualizações
Wireless cellular technologies por ganeshmaali
Wireless cellular technologiesWireless cellular technologies
Wireless cellular technologies
ganeshmaali803 visualizações
Wireless cellular technologies por ganeshmaali
Wireless cellular technologiesWireless cellular technologies
Wireless cellular technologies
ganeshmaali304 visualizações
EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION... por VLSICS Design
EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION...EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION...
EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION...
VLSICS Design9 visualizações
EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION... por VLSICS Design
EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION...EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION...
EFFICIENT HARDWARE CO-SIMULATION OF DOWN CONVERTOR FOR WIRELESS COMMUNICATION...
VLSICS Design2 visualizações
Efficient Hardware Co-Simulation of Down Convertor for Wireless Communication... por VLSICS Design
Efficient Hardware Co-Simulation of Down Convertor for Wireless Communication...Efficient Hardware Co-Simulation of Down Convertor for Wireless Communication...
Efficient Hardware Co-Simulation of Down Convertor for Wireless Communication...
VLSICS Design36 visualizações
5g TECHNOLOY por SumanPramanik7
5g TECHNOLOY5g TECHNOLOY
5g TECHNOLOY
SumanPramanik7220 visualizações
Ray Tracing Software and Emulation por Dr. Edwin Hernandez
Ray Tracing Software and EmulationRay Tracing Software and Emulation
Ray Tracing Software and Emulation
Dr. Edwin Hernandez3.9K visualizações
An Open-Source Radio Coverage Prediction Tool por Kate Campbell
An Open-Source Radio Coverage Prediction ToolAn Open-Source Radio Coverage Prediction Tool
An Open-Source Radio Coverage Prediction Tool
Kate Campbell2 visualizações
Wireless network planning solutions por Dr.oday Zakariya Jasim
Wireless network planning solutions Wireless network planning solutions
Wireless network planning solutions
Dr.oday Zakariya Jasim54 visualizações

Mais de Dr. Edwin Hernandez

MEVIA Platform for Music and Video por
MEVIA Platform for Music and VideoMEVIA Platform for Music and Video
MEVIA Platform for Music and VideoDr. Edwin Hernandez
68 visualizações4 slides
Proposal NFT Metaverse Projects.pdf por
Proposal NFT Metaverse Projects.pdfProposal NFT Metaverse Projects.pdf
Proposal NFT Metaverse Projects.pdfDr. Edwin Hernandez
293 visualizações14 slides
Emulation MobileCAD por
Emulation MobileCADEmulation MobileCAD
Emulation MobileCADDr. Edwin Hernandez
112 visualizações7 slides
EGLA NFT Offering por
EGLA NFT OfferingEGLA NFT Offering
EGLA NFT OfferingDr. Edwin Hernandez
73 visualizações12 slides
Next Generation Spaces for Startups por
Next Generation Spaces for Startups Next Generation Spaces for Startups
Next Generation Spaces for Startups Dr. Edwin Hernandez
137 visualizações20 slides
Analisis del Fraude Electoral en el 2017 - EGLA CORP por
Analisis del Fraude Electoral en el 2017 - EGLA CORPAnalisis del Fraude Electoral en el 2017 - EGLA CORP
Analisis del Fraude Electoral en el 2017 - EGLA CORPDr. Edwin Hernandez
38 visualizações34 slides

Mais de Dr. Edwin Hernandez(20)

MEVIA Platform for Music and Video por Dr. Edwin Hernandez
MEVIA Platform for Music and VideoMEVIA Platform for Music and Video
MEVIA Platform for Music and Video
Dr. Edwin Hernandez68 visualizações
Proposal NFT Metaverse Projects.pdf por Dr. Edwin Hernandez
Proposal NFT Metaverse Projects.pdfProposal NFT Metaverse Projects.pdf
Proposal NFT Metaverse Projects.pdf
Dr. Edwin Hernandez293 visualizações
Next Generation Spaces for Startups por Dr. Edwin Hernandez
Next Generation Spaces for Startups Next Generation Spaces for Startups
Next Generation Spaces for Startups
Dr. Edwin Hernandez137 visualizações
Analisis del Fraude Electoral en el 2017 - EGLA CORP por Dr. Edwin Hernandez
Analisis del Fraude Electoral en el 2017 - EGLA CORPAnalisis del Fraude Electoral en el 2017 - EGLA CORP
Analisis del Fraude Electoral en el 2017 - EGLA CORP
Dr. Edwin Hernandez38 visualizações
EGLAVATOR - Innovation, intellectual property services, and capital 2022 - 1 por Dr. Edwin Hernandez
EGLAVATOR - Innovation, intellectual property services, and capital 2022 - 1EGLAVATOR - Innovation, intellectual property services, and capital 2022 - 1
EGLAVATOR - Innovation, intellectual property services, and capital 2022 - 1
Dr. Edwin Hernandez205 visualizações
MEVIA and Cloud to Cable TV Intellectual Property por Dr. Edwin Hernandez
MEVIA and Cloud to Cable TV Intellectual PropertyMEVIA and Cloud to Cable TV Intellectual Property
MEVIA and Cloud to Cable TV Intellectual Property
Dr. Edwin Hernandez236 visualizações
EGLAVATOR - Who are we? por Dr. Edwin Hernandez
EGLAVATOR - Who are we?EGLAVATOR - Who are we?
EGLAVATOR - Who are we?
Dr. Edwin Hernandez264 visualizações
Tips para mejorar ventas digitales por Dr. Edwin Hernandez
Tips para mejorar ventas digitalesTips para mejorar ventas digitales
Tips para mejorar ventas digitales
Dr. Edwin Hernandez98 visualizações
Securing 4G and LTE systems with Deep Learning and Virtualization por Dr. Edwin Hernandez
Securing 4G and LTE systems with Deep Learning and VirtualizationSecuring 4G and LTE systems with Deep Learning and Virtualization
Securing 4G and LTE systems with Deep Learning and Virtualization
Dr. Edwin Hernandez252 visualizações
EGLAVATOR by EGLA CORP por Dr. Edwin Hernandez
EGLAVATOR by EGLA CORPEGLAVATOR by EGLA CORP
EGLAVATOR by EGLA CORP
Dr. Edwin Hernandez353 visualizações
MEVIA - Technology Updates - 2020 por Dr. Edwin Hernandez
MEVIA - Technology Updates -  2020MEVIA - Technology Updates -  2020
MEVIA - Technology Updates - 2020
Dr. Edwin Hernandez255 visualizações
MEVIA - Entertaiment and Cloud-based Solution for Yachts por Dr. Edwin Hernandez
MEVIA - Entertaiment and Cloud-based Solution for Yachts MEVIA - Entertaiment and Cloud-based Solution for Yachts
MEVIA - Entertaiment and Cloud-based Solution for Yachts
Dr. Edwin Hernandez150 visualizações
NextGENTV broadcasting with Cloud to Cable (ATSC 3.0) - Broadcasting to CABSAT por Dr. Edwin Hernandez
NextGENTV broadcasting with Cloud to Cable  (ATSC 3.0) - Broadcasting to CABSATNextGENTV broadcasting with Cloud to Cable  (ATSC 3.0) - Broadcasting to CABSAT
NextGENTV broadcasting with Cloud to Cable (ATSC 3.0) - Broadcasting to CABSAT
Dr. Edwin Hernandez160 visualizações
New Revenue Opportunities for Cloud Apps and Services with CloudtoCable por Dr. Edwin Hernandez
New Revenue Opportunities for Cloud Apps and Services with CloudtoCableNew Revenue Opportunities for Cloud Apps and Services with CloudtoCable
New Revenue Opportunities for Cloud Apps and Services with CloudtoCable
Dr. Edwin Hernandez83 visualizações
EGLA CORP: Innovation, Intellectual Property Services, and Capital por Dr. Edwin Hernandez
EGLA CORP:  Innovation, Intellectual Property Services, and CapitalEGLA CORP:  Innovation, Intellectual Property Services, and Capital
EGLA CORP: Innovation, Intellectual Property Services, and Capital
Dr. Edwin Hernandez642 visualizações
Music for Cable Music Service for Operators por Dr. Edwin Hernandez
Music for Cable   Music Service for OperatorsMusic for Cable   Music Service for Operators
Music for Cable Music Service for Operators
Dr. Edwin Hernandez377 visualizações
Cloud to Cable intellectual Property Portfolio por Dr. Edwin Hernandez
Cloud to Cable intellectual Property PortfolioCloud to Cable intellectual Property Portfolio
Cloud to Cable intellectual Property Portfolio
Dr. Edwin Hernandez191 visualizações
Music for Cable TV - Channel Lineup por Dr. Edwin Hernandez
Music for Cable TV - Channel LineupMusic for Cable TV - Channel Lineup
Music for Cable TV - Channel Lineup
Dr. Edwin Hernandez4.6K visualizações

Último

Microchip: CXL Use Cases and Enabling Ecosystem por
Microchip: CXL Use Cases and Enabling EcosystemMicrochip: CXL Use Cases and Enabling Ecosystem
Microchip: CXL Use Cases and Enabling EcosystemCXL Forum
129 visualizações12 slides
Astera Labs: Intelligent Connectivity for Cloud and AI Infrastructure por
Astera Labs:  Intelligent Connectivity for Cloud and AI InfrastructureAstera Labs:  Intelligent Connectivity for Cloud and AI Infrastructure
Astera Labs: Intelligent Connectivity for Cloud and AI InfrastructureCXL Forum
125 visualizações16 slides
METHOD AND SYSTEM FOR PREDICTING OPTIMAL LOAD FOR WHICH THE YIELD IS MAXIMUM ... por
METHOD AND SYSTEM FOR PREDICTING OPTIMAL LOAD FOR WHICH THE YIELD IS MAXIMUM ...METHOD AND SYSTEM FOR PREDICTING OPTIMAL LOAD FOR WHICH THE YIELD IS MAXIMUM ...
METHOD AND SYSTEM FOR PREDICTING OPTIMAL LOAD FOR WHICH THE YIELD IS MAXIMUM ...Prity Khastgir IPR Strategic India Patent Attorney Amplify Innovation
25 visualizações9 slides
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy por
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy
"Role of a CTO in software outsourcing company", Yuriy NakonechnyyFwdays
40 visualizações21 slides
Data-centric AI and the convergence of data and model engineering: opportunit... por
Data-centric AI and the convergence of data and model engineering:opportunit...Data-centric AI and the convergence of data and model engineering:opportunit...
Data-centric AI and the convergence of data and model engineering: opportunit...Paolo Missier
29 visualizações40 slides
"Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ... por
"Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ..."Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ...
"Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ...Fwdays
33 visualizações39 slides

Último(20)

Microchip: CXL Use Cases and Enabling Ecosystem por CXL Forum
Microchip: CXL Use Cases and Enabling EcosystemMicrochip: CXL Use Cases and Enabling Ecosystem
Microchip: CXL Use Cases and Enabling Ecosystem
CXL Forum129 visualizações
Astera Labs: Intelligent Connectivity for Cloud and AI Infrastructure por CXL Forum
Astera Labs:  Intelligent Connectivity for Cloud and AI InfrastructureAstera Labs:  Intelligent Connectivity for Cloud and AI Infrastructure
Astera Labs: Intelligent Connectivity for Cloud and AI Infrastructure
CXL Forum125 visualizações
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy por Fwdays
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy
Fwdays40 visualizações
Data-centric AI and the convergence of data and model engineering: opportunit... por Paolo Missier
Data-centric AI and the convergence of data and model engineering:opportunit...Data-centric AI and the convergence of data and model engineering:opportunit...
Data-centric AI and the convergence of data and model engineering: opportunit...
Paolo Missier29 visualizações
"Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ... por Fwdays
"Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ..."Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ...
"Quality Assurance: Achieving Excellence in startup without a Dedicated QA", ...
Fwdays33 visualizações
[2023] Putting the R! in R&D.pdf por Eleanor McHugh
[2023] Putting the R! in R&D.pdf[2023] Putting the R! in R&D.pdf
[2023] Putting the R! in R&D.pdf
Eleanor McHugh38 visualizações
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum... por NUS-ISS
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
NUS-ISS28 visualizações
"Fast Start to Building on AWS", Igor Ivaniuk por Fwdays
"Fast Start to Building on AWS", Igor Ivaniuk"Fast Start to Building on AWS", Igor Ivaniuk
"Fast Start to Building on AWS", Igor Ivaniuk
Fwdays36 visualizações
AI: mind, matter, meaning, metaphors, being, becoming, life values por Twain Liu 刘秋艳
AI: mind, matter, meaning, metaphors, being, becoming, life valuesAI: mind, matter, meaning, metaphors, being, becoming, life values
AI: mind, matter, meaning, metaphors, being, becoming, life values
Twain Liu 刘秋艳34 visualizações
PharoJS - Zürich Smalltalk Group Meetup November 2023 por Noury Bouraqadi
PharoJS - Zürich Smalltalk Group Meetup November 2023PharoJS - Zürich Smalltalk Group Meetup November 2023
PharoJS - Zürich Smalltalk Group Meetup November 2023
Noury Bouraqadi113 visualizações
"AI Startup Growth from Idea to 1M ARR", Oleksandr Uspenskyi por Fwdays
"AI Startup Growth from Idea to 1M ARR", Oleksandr Uspenskyi"AI Startup Growth from Idea to 1M ARR", Oleksandr Uspenskyi
"AI Startup Growth from Idea to 1M ARR", Oleksandr Uspenskyi
Fwdays26 visualizações
Web Dev - 1 PPT.pdf por gdsczhcet
Web Dev - 1 PPT.pdfWeb Dev - 1 PPT.pdf
Web Dev - 1 PPT.pdf
gdsczhcet52 visualizações
Samsung: CMM-H Tiered Memory Solution with Built-in DRAM por CXL Forum
Samsung: CMM-H Tiered Memory Solution with Built-in DRAMSamsung: CMM-H Tiered Memory Solution with Built-in DRAM
Samsung: CMM-H Tiered Memory Solution with Built-in DRAM
CXL Forum105 visualizações
Tunable Laser (1).pptx por Hajira Mahmood
Tunable Laser (1).pptxTunable Laser (1).pptx
Tunable Laser (1).pptx
Hajira Mahmood21 visualizações
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen... por NUS-ISS
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
NUS-ISS23 visualizações
Java Platform Approach 1.0 - Picnic Meetup por Rick Ossendrijver
Java Platform Approach 1.0 - Picnic MeetupJava Platform Approach 1.0 - Picnic Meetup
Java Platform Approach 1.0 - Picnic Meetup
Rick Ossendrijver25 visualizações
The Importance of Cybersecurity for Digital Transformation por NUS-ISS
The Importance of Cybersecurity for Digital TransformationThe Importance of Cybersecurity for Digital Transformation
The Importance of Cybersecurity for Digital Transformation
NUS-ISS25 visualizações
The details of description: Techniques, tips, and tangents on alternative tex... por BookNet Canada
The details of description: Techniques, tips, and tangents on alternative tex...The details of description: Techniques, tips, and tangents on alternative tex...
The details of description: Techniques, tips, and tangents on alternative tex...
BookNet Canada110 visualizações
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu... por NUS-ISS
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
NUS-ISS32 visualizações

Mobile CDS - mmW / LTE Simulator - Mobile CAD