Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Arman Farhang - New Waveform Candidates for 5G:...
Search
SCEE Team
June 16, 2015
Research
270
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Arman Farhang - New Waveform Candidates for 5G: Options and Opportunities
SCEE Team
June 16, 2015
More Decks by SCEE Team
See All by SCEE Team
Cédric Marchand - Non-Binary LDPC codes
scee_team
1
600
Marie Chabert - Periodic Non-Uniform Sampling (PNS) for Satellite Communications
scee_team
0
150
Eleftherios Kofidis - Channel Estimation in Filter Bank-based Multicarrier Systems: Fundamentals and Recent Advances
scee_team
0
210
Adrien Thierry - Reconfiguration Partielle dynamique des FPGA pour les Applications Spatiales
scee_team
0
130
Hamed Ahmadi - Learning, prediction and selection algorithms for opportunistic spectrum access
scee_team
0
88
Julio Cesar - Novel spectrum sensing schemes for Cognitive Radio Networks
scee_team
0
130
Laurent Martinod - FP7 EMPHATIC project: Airbus D&S current view and study
scee_team
0
180
Vincent Savaux - Pilot-Aided and Blind Equalization in FBMC Modulation for PMR Networks
scee_team
0
180
Laura Melian Gutierrez - Cognitive Radio in HF Communications
scee_team
0
130
Other Decks in Research
See All in Research
非試合日の野球場を楽しむためのARホームランボールキャッチ体験システムの開発 / EC79-miyazaki
yumulab
0
220
[BlackHatAsia2026] Hidden Telemetry: Uncovering TraceLogging ETW Providers You're Not Using (Yet)
asuna_jp
1
510
AIエージェント時代のLLM-jpモデルのあるべき姿
k141303
0
450
さくらインターネット研究所テックトーク2026春、研究開発Gr.25年度成果26年度方針
kikuzo
0
140
Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing
satai
3
830
Data Visualization Tools in the Age of AI
flekschas
0
160
東京大学工学部計数工学科、計数工学特別講義の説明資料
kikuzo
0
470
LiDAR点群の地表面分類手法の比較・検証
vegapunkhiroshi79
0
120
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
shunk031
4
1k
進学校の生徒にはア行の苗字が多いのか
ozekinote
0
440
論文紹介 "ReSim: Reliable World Simulation for Autonomous Driving"
kogo
0
620
Claude Code × autoresearch 実践
mathbullet
0
150
Featured
See All Featured
How to Think Like a Performance Engineer
csswizardry
28
2.6k
Balancing Empowerment & Direction
lara
6
1.2k
Leo the Paperboy
mayatellez
7
1.8k
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
830
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
201
75k
What does AI have to do with Human Rights?
axbom
PRO
1
2.2k
The SEO identity crisis: Don't let AI make you average
varn
0
490
Between Models and Reality
mayunak
4
330
ラッコキーワード サービス紹介資料
rakko
1
3.6M
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Transcript
New Waveform Candidates for 5G: Options and Opportunities Arman&Farhang& TRINITY
COLLEGE D U B L I N June 16, 2015 Supélec campus de Rennes
1" Impact of timing and frequency offsets on multicarrier waveform
candidates for 5G
Waveform Candidates for 5G Waveform&Candidates& Linear&pulse&shaping& Circular&pulse&shaping& Universal&filtered&mul;carrier&(UFMC)& & Filter&bank&mul;carrier&(FBMC)&
Generalized&frequency&division& mul;plexing&(GFDM)& Circular&filter&bank&mul;carrier&(CHFBMC)& 2"
Fig.&1.&UFMC&system&model&in&the&uplink&[1].& Linear Pulse Shaping • Universal"filtered"mul2carrier"(UFMC)" [1]&V.&Vakilian,&T.&Wild,&F.&Schaich,&S.&Ten&Brink,&and&J.HF.&Frigon,&“UniversalHfiltered&mul;Hcarrier&technique&for&wireless&systems& beyond<e,”&in&IEEE&Globecom&Workshops&(GC&Wkshps)&2013,&pp.&223–228.& 3"
Linear Pulse Shaping • UFMC"signal"in"frequency"domain" Fig.&2.&UFMC&signal&representa;on&in&frequency&domain&and&its&comparison&with&OFDM&[1].& 4"
Linear Pulse Shaping • Filter"bank"mul2carrier"(FBMC)" Fig.&3.&Filter&bank&mul;carrier&(FBMC)&system&model.& 5"
Circular Pulse Shaping Fig.&4.&Filter&bank&mul;carrier&with&circular&pulse&shaping.& 6"
Circular Pulse Shaping Fig.&5.&TimeHfrequency&overlapping.& 7"
Circular Pulse Shaping • OFDM"vs."GFDM"or"CJFBMC"data"packet" OFDM" GFDM"or"CJFBMC" 8"
Linear vs. Circular Pulse Shaping Fig.&6.&Linear&FBMC&transmit&signal.& Fig.&7.&Circular&FBMC&transmit&signal.& 9"
Impact of Synchronization Errors on Waveform Candidates for 5G Receiver"window"
User"1" User"2" User"3" User"4" Fig.&8.&Timing&misalignment&between&different&users.& Fig.&9.&Frequency&misalignment&between&different& users.& 10"
Timing and Frequency Misalignment Transmit"signal"of"user" Received"signal"at"the"base"sta2on" Signal"of"user"""""aTer"going"through" the"channel" TransmiUed"symbols" es2mated"at"the"base"
sta2on" 11"
Sensitivity to Timing Offset Fig.&10.&Mul;ple&access&interference&(MAI)&as&a&func;on&of&;ming& offset&for&different&waveforms.& 12"
Sensitivity to Frequency Offset Fig.&11.&Mul;ple&access&interference&(MAI)&as&a&func;on&of& frequency&offset&for&different&waveforms.& 13"
Sensitivity to Frequency Offset Fig.&12.&Amplitude&spectrum&of&the&receiver&matched&filter&(MF)&in&CHFBMC&and&zeroHforcing&(ZF)&detector& in&GFDM.& 14"
Sensitivity to Timing and Frequency Offset Fig.&13.&Bit&error&rate&(BER)&performance&of&different&waveforms.&The& normalized&TOs&and&CFOs&are&selected&randomly&between&H0.5&and&+0.5.& 15"
Sensitivity to Timing and Frequency Offset Fig.&14.&BER&performance&of&different&waveforms.&The&users&are&quasiH synchronous&in&;me&and&the&CFO&errors&are&selected&randomly&between& H0.5&and&+0.5.& 16"
Conclusions • To"reduce"sensi2vity"to"2ming"and"frequency"offsets,"windows" with"smooth"edges"should"be"applied"to"both"transmiUer"and" receiver." • Among"all"the"waveforms,"FBMC"and"UFMC"par2ally"sa2sfy"this" condi2on."" • OFDM,"GFDM,"and"CJFBMC"fail"our"tests"as"they"lack"windowing"
in"their"conven2onal"form."However,"improvements"are" possible"in"these"waveforms." 17"
18" Frequency Spreading Equalization in Multicarrier Massive MIMO
New Waveforms and Massive MIMO for 5G 19" Waveform&Candidates& Linear&pulse&shaping&
Circular&pulse&shaping& Filter&bank&mul;carrier&(FBMC)& & Universal&filtered&mul;carrier&(UFMC)& Generalized&frequency&division& mul;plexing&(GFDM)& Circular&filter&bank&mul;carrier&(CHFBMC)&
• Massive"MIMO:"a"mul2user"system"similar"to"code" division"mul2plexing"(CDMA)"systems" Base" sta2on" MT1" . " . "
. MTK" . " . " . H11" HKM" 1" M" 20" New Waveforms and Massive MIMO for 5G
• CMT"modula2on" (a)&Spectra&of&baseband&data&streams&(black)&and&ves;gial&side&band&(VSB)&por;on&of&each&(other&colors).&(b)&CMT& spectrum&consis;ng&of&modulated&versions&of&the&VSB&spectra&of&the&baseband&data&streams.&VSB&signals&are&modulated& to&the&subcarrier&frequencies&f 0 ,&f 1 ,&"#"#"#,&fN−1 .&
[1]&B.&FarhangHBoroujeny&and&C.&(George)&Yuen,&“Cosine&modulated&and&offset&qam&filter&bank&mul;carrier&techniques:&a& con;nuousH;me&prospect,”&EURASIP#Journal#on#Applied#Signal#Processing,#2010,#special#issue#on#Filter#Banks#for#Next# GeneraEon#MulEcarrier#Wireless#CommunicaEons,&vol.&2010,&p.&16&pages,&2010.& 21" Cosine Modulated Multitone (CMT)
22" Frequency Spreading implementation of CMT
23" Frequency Spreading implementation of CMT
• SelfJequaliza2on"property"of"FBMC,"[2],"makes"it"a"viable"candidate"for" MIMO"applica2on." " • CMT"offers"the"following"advantages"over"OFDM:" – Higher""bandwidth"efficiency" – Lower"sensi2vity"to"CFO"
– Lower"PAPR" – More"flexible"carrier"aggrega2on" – Blind"channel"equaliza2on"capability"enabling"pilot"decontamina2on,"[3]" 24" Filter Bank Multicarrier for Massive MIMO ! [2]&A.&Farhang,&N.&Marchej,&L.&Doyle,&B.&FarhangHBoroujeny,&“Filter#Bank#MulEcarrier#for#Massive#MIMO”,&In&Proc.&Of&IEEE& VTCHFall&2014,&Vancouver.& [3]&A.&Farhang,&&A.&Aminjavaheri,N.&Marchej,&L.&Doyle,&B.&FarhangHBoroujeny,&“Pilot#decontaminaEon#in#CMTMbased#massive# MIMO#Networks”,&In&proc.&of&ISWCS&2014.&Barcelona.&
25" Minimum Mean Square Error Frequency Spreading Equalization Number of
receive antennas Number of users
26" Minimum Mean Square Error Frequency Spreading Equalization MMSE estimates
of MMSE filter tap weights Spreading matrix Phase adjustment matrix
• Single"user"case" 27" Numerical Results (a)&and&(b)&compare&the&signal&to&interference&ra;o&(SIR)&performance&of&the&MF&linear&combining&technique&for&the& cases&of&8&and&16&subcarriers,&respec;vely,&for&different&number&of&receive&antennas,&Nr .&&
Numerical Results SIR&performance&&comparison&between&polyphase&implementa;on&(PPN)&and&frequency&spreading&FBMC&systems&having&16& subcarriers&&for&different&number&of&receive&antennas.&
• Mul2user"case" Numerical Results Signal&to&noise&plus&interference&(SINR)&performance&of&MMSE&linear&combining&for&the&case&of&having&16&subcarriers&and&6&users& where&the&receiver&input&signal&to&noise&ra;o&is&H1dB.&
• An"effec2ve"MMSE"equaliza2on"scheme"for"FBMCJbased" massive"MIMO"systems"was"derived." • Frequency"spreading"equaliza2on"enables"us"to"widen"the" subcarrier"bands"further"than"what"was"proposed"in"[2]."" • Further"widening"the"subcarrier"bands"in"frequency"brings" improvements"in"terms"of"bandwidth"efficiency,"robustness"to" carrier"frequency"offset,"peakJtoJaverage"power"ra2o"and"
latency"compared"with"polyphase"based"FBMC"systems." Conclusions [2]&A.&Farhang,&N.&Marchej,&L.&Doyle,&B.&FarhangHBoroujeny,&“Filter#Bank#MulEcarrier#for#Massive#MIMO”,&In&Proc.&Of&IEEE& VTCHFall&2014,&Vancouver.&
Thank"you" Any"comments"or"ques2ons?"