Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Arman Farhang - New Waveform Candidates for 5G:...
Search
SCEE Team
June 16, 2015
Research
280
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
630
Marie Chabert - Periodic Non-Uniform Sampling (PNS) for Satellite Communications
scee_team
0
160
Eleftherios Kofidis - Channel Estimation in Filter Bank-based Multicarrier Systems: Fundamentals and Recent Advances
scee_team
0
230
Adrien Thierry - Reconfiguration Partielle dynamique des FPGA pour les Applications Spatiales
scee_team
0
140
Hamed Ahmadi - Learning, prediction and selection algorithms for opportunistic spectrum access
scee_team
0
99
Julio Cesar - Novel spectrum sensing schemes for Cognitive Radio Networks
scee_team
0
150
Laurent Martinod - FP7 EMPHATIC project: Airbus D&S current view and study
scee_team
0
210
Vincent Savaux - Pilot-Aided and Blind Equalization in FBMC Modulation for PMR Networks
scee_team
0
210
Laura Melian Gutierrez - Cognitive Radio in HF Communications
scee_team
0
140
Other Decks in Research
See All in Research
La génomique au service de la fromageabilité du lait grâce aux spectres MIR
institutdelelevage
PRO
0
220
Kaggle|AI Agent Security — しくじり先生、俺みたいになるな
pomcho555
1
140
Evaluating LLM Reliability Across Facts, Evidence, and Cultures
yukiar
0
240
Empreinte carbone des ovins : une approche globale (technique, économique, environnementale) – 4 années de résultats avec LIFE GREEN SHEEP
institutdelelevage
PRO
0
150
湯村研究室の紹介2026 / yumulab2026
yumulab
0
200
完全自律LLMエージェントでDIVER OSINT CTF 2026に挑戦してみた
analokmaus
0
810
就労支援の現場での生成AI活用
enochan
0
210
The Conductor Pattern -Multi-Granularity Feedback for Creative Agents-
shibuiwilliam
2
120
Pesée et pointage par imagerie 3D : PHENO3D entre en phase de test terrains
institutdelelevage
PRO
0
160
フィジカルAIの社会実装に向けて -AIエージェントからAgentic Roboticsへ-
hf149
1
2.7k
La longévité des troupeaux laitiers: état des lieux et perspectives
institutdelelevage
PRO
0
140
Santé et fertilité des sols : ce que nous disent les pratiques dans les systèmes de polyculture-élevage
institutdelelevage
PRO
0
150
Featured
See All Featured
The Cult of Friendly URLs
andyhume
79
7.1k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
320
Designing for Performance
lara
612
70k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6.2k
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.6k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
Between Models and Reality
mayunak
4
570
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
530
[RailsConf 2023] Rails as a piece of cake
palkan
59
7.1k
Writing Fast Ruby
sferik
630
63k
The World Runs on Bad Software
bkeepers
PRO
72
12k
We Are The Robots
honzajavorek
0
440
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?"