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用MATLAB加速6G創(chuàng)新研發(fā)5G5Gadvanced6GLTEWi-FiUbiquitousConnectivityas
a
goalWLANSatellitecommunicationsNon-terrestrial
NetworkWideArea
NetworkLocalArea
NetworkPersonalArea
NetworkBluetoothCCSDSDVB-S*CellularGNSS1
6G:nextgeneration
mobilewirelesscommunicationsystem
Builtonthe
strength
of5G
Envisionedto
provide
ubiquitousandsustainableconnectivity
Research
is
underway.Various
industryandacademicconsortiums
researchingand
proposingtechnologiesWhat
is6G?2Possible6G
New
Applicationsand
UseCasesDigitaltwinHolograms
Othernew
usecasesRealtime
robotcommandandcontrolFixed
mobileand
broadbandevolutionWidearea
and
microconnectivityWireless
sensorfusionExtendedreality35G/6G?6Gand
FutureWirelessSpectrum1GHz3GHz10GHz30GHz100
GHz300
GHz
1000GHz5G/6G?6G?6G?“Sub-THz”46G
Exploration
with
MATLABmmWave:propagation
lossandchannel
modelsmmWave:
RFimpairmentmodellingNonterrestrial
networks(NTN)WaveformexplorationAI/MLforwirelessSensingand
RIS5Explore,model,simulate,andtestcandidate6Gwaveformsand
technologies?Modelwaveformswithbandwidthsandsubcarrierspacings
beyond
valuesspecifiedby
5G
NR.?Performlink-levelsimulationswiththe
extendedwaveforms.?Exploretheimpactof
hardware
impairments
at
7-20
GHz,
mm-Wave,
andsub-Terahertzcarrierfrequencies.?Model
reconfigurable
intelligent
surfaces.?Exploreapplicationsof
AItowirelesscommunications
problems.?Acceleratingyoursimulationbyusing
multicorecomputersand
clusters.New:6G
Exploration
Library
for5G
Toolbox6Waveformexploration6G
Exploration
with
MATLABmmWave:propagation
lossandchannel
modelsmmWave:
RFimpairmentmodellingNonterrestrial
networks(NTN)AI/MLforwirelessSensingand
RIS7Bandwidth
and
SCS
beyond
5G
Explorethe
propertiesandcapabilitiesofextended
5G-
waveforms:Fs
=
15.73
GHzBW
=
13.36
GHzSCS=
3840
kHz290
RBs–Large
bandwidths
beyond275
RBs–SCS
beyond
960
kHz8–Channel
characteristic
varies
overtime–Orthogonalitybetweensubcarriers
is
lost
OTFSrepresentsdatain
Doppler/Delay
space–Orthogonalitymaintainedif
Doppler&
delay
constant–
Evenat
high
Doppler
NTN,high-speedcarortrain,
…
. Consideredfor6Gsystems
OFDMsuffersfrom
ICIin
high
Doppler
multipathchannelsOrthogonalTime
FrequencySpace(OTFS)
ModulationICI
=
Intercarrier
Interference9
OTFScan
beseenasanOFDM
code
with
pre-coding
(ISFFT)–Equivalenceonlywhen
HeisenbergTransformidenticaltoOFDM
modulation10
HeisenbergTransform
isageneralizedOFDMwith
apulseshapingfilter.When
pulseshapingfilterisrectangular,
HeisenbergTransform
is
identicaltoOFDM.Correspondence
betweenOFDMandOTFSISFFT=
InverseSymplectic
Finite
FourierTransformDelay
(μs)Doppler(Hz)Speed
(km/h)Path
14.50-1297-280Path
27.212162467Equalization
inthe
PresenceofHigh
Doppler
High
Dopplerwith
LOSand2additional
pathsOTFScompensates
for
DopplerOFDMhas
strong
residual
ICI11mmWave:
RFimpairmentmodellingmmWave:propagation
lossandchannel
models6G
Exploration
with
MATLABNonterrestrial
networks(NTN)WaveformexplorationAI/MLforwirelessSensingand
RIS12
Frequencydependent
path
loss<=
1THzcarrierNew
Frequenciesand
Higher
Bandwidths-Channel
Models
3GPPCDLchannel
model<=100GHz
carrier
Raytracing
models:<=
100GHz
carrier13
Usedto
modelchannelsspecifictoa3D
environment
(indoor,
outdoor)
Raytracing
methods:SBR,
image
method
Supportforreflectionand
diffractionRay
Tracing
with
MATLAB146G
Link-Level
Simulation
PDSCHThroughput
Higherdata
rates
Optimizedforparallel
processing–SplitseverySNR
pointon
multiple
cores/
machines15mmWave–
Hybrid
Beamforming
Examples16EVMand
ACPR
Measurement
Evaluate
impactofRFimpairmentson
system
performanceEVMPhase
Noise6G
WaveformPowerACPRMeasurementFilterMeasurementAmplifier17Circuitenvelope?
Highfidelity?
Multicarriersimulation?Arbitraryandcascaded
RF
networks?
Model
impedance
mismatchesIdealizedbaseband?
Mathematical
model?Single
carrier
simulation?Complex
baseband
representation?Assumes
perfect
impedance
matchingWe
provide2levelsoffidelityfordifferentuse
casesmmWave
RF
Modelingf(x)v
v18RF
mmWaveTransmitterwith
Hybrid
BeamformingElevation:RF
beamformingAzimuth:Digital
beamforming19Sensingand
RIS6G
Exploration
with
MATLABmmWave:propagation
lossandchannel
modelsmmWave:
RFimpairmentmodellingNonterrestrial
networks(NTN)WaveformexplorationAI/MLforwireless20
Arrayofcontrollablequasi
passive
low-cost
reflectingelements
Eachelementcanbe
reconfigured
and
apply
a
custom
phaseshifttothe
incomingsignal
Carefulchoiceofphaseshiftsfor
each
elementcancauseconstructiveinterference
at
thereceiverReconfigurable
IntelligentSurfaces(RIS)
ReceiverBlockageTransmitterRIS21deterministic
reflection
angle
configurable
reflection
angle
Moresuitedtoscenarioswith
NLOS
betweentransmitterand
receiver.
Can
increasecoverageat
a
low
cost
RISresponsecanbe
adapted
tothe
channel
conditionsTraditional
material
Metasurfaceα
iRIS
Responseαrα
iα22rΘ
=
diag(β1
ejθ1
,…
,
βNejθN
)Singleantenna
receiverh1×Ny
=
hΘG
Ws
+nM
transmitantennas
WM×1
precodingvectorRISexampleN
elementsGN×Ms23
CDLRISCDL
Rx/Tx
CDLarrayanda
phase
shift
modelsthe
RISStochasticand
DeterministicChannel
ModelRISdisabledRISenabled24AI/MLforwireless6G
Exploration
with
MATLABmmWave:propagation
lossandchannel
modelsmmWave:
RFimpairmentmodellingNonterrestrial
networks(NTN)WaveformexplorationSensingand
RIS25
Device
Identification
Digital
Pre-DistortionB
l
n&
Localization
&
Positioning
Transceiver
designstimatioagementEnChanneeam
MalassificationmSensing&CuSignalSpectrTypical
Applicationsof
AIforWirelessCommunications26AI/MLforFutureWirelessNetworkmanagement&optimizationEnd-to-endsystemoptimizationAI-nativeairinterfaceRFoptimization27Featured
Examples28Nonterrestrialnetworks(NTN)6G
Exploration
with
MATLABmmWave:propagation
lossandchannel
modelsmmWave:
RFimpairmentmodellingWaveformexplorationAI/MLforwirelessSensingand
RIS29
6G
needssolutionsforglobalservice
coverage
NTNcan
providecoverageto
large
isolatedareasata
relatively
low
cost
Inter-satellite-link
(ISL)hopscan
increasecoverage
Asanexample,
Hexa-X
isstudyingthesecoveragetargets:–>99%ofpopulation
reachedwith
>1Mbps–
100%ofworldareacovered6G
NTN
Motivation30
Shippingexampleto
measurethe
NR
NTN
link
performance
NTNchannel
model–Flatfading
Land
MobileSatellitechannel
(ITU-R
P.681-11)–Freq.selectiveTDLbased
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