Advanced radio access solutions for the new 5G requirements

Transcription

1 Advanced rado access solutons for the new 5G requrements Soumaya Hamouda Assocate Professor, Unversty of Carthage Tuns, Tunsa IEEE Summt 5G n Future Afrca. May 3 th, 2017 Pretora, South Afrca

2 Identfed 5G scenaros and servces Multmeda servces wll requre more and more bandwdth Moble cloud servces are growng rapdly Augmented /vrtual realty servces wll become common Socal networkng servces wll be expanded wth rch contents M2M devces prolferate and hgh data rate M2M servce wll grow Personalzed servces wll be ntegrated nto daly lfe IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 2

3 Devces number ncrease X 10 Dr. Soumaya Hamouda 3

4 Wreless networks legacy and new challenges 3G (HSPA) Voce WCDMA 3G: Data 2G: Voce IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 4

5 Wreless networks legacy and new challenges 3.9G (LTE) OFDMA 4G: Moble data 3G: Data 2G: Voce IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 5

6 Wreless networks legacy and new challenges 4G (LTE-A) OFDMA Massve MIMO MU-CoMP Carrer Aggregaton 4G: Moble data 3G: Data LTE-A (100 MHz = 5 x 20 MHz) 2G: Voce IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 6

7 Wreless networks legacy and new challenges 4G (LTE-A) eicic FemtoCell PcoCell Relay 4G: Moble data 3G: Data HetNet 2G: Voce Dr. Soumaya Hamouda 7

8 Wreless networks legacy and new challenges 4G (LTE-A) New Rado Access Challenges Ultra Dense Small Cells Dr. Soumaya Hamouda 8

9 Wreless networks legacy and new challenges Accommodate traffc and bandwdth exploson Traffc volume wll be ncreased 1000 tmes (Vdeo traffc porton wll be major) Handle the nterference exploson and optmze the rado resources allocaton Enhance the nterference coordnaton between the ultra-dense small cells Manage the hotspots of traffc and hgh moblty Accommodate sgnalng exploson Moblty sgnalng exploson by Small Cell Massve connectvty due to ncreased number of devces Bearer control caused by always-on-apps servces Hgher pagng complexty caused by heterogeneous wreless and wre-lne accesses Satsfy operator s requrement of proftable network nfrastructure Legacy network can hardly reduce CAPEX and OPEX Need to accommodate new servces n the same physcal network 9

10 5G requrements R1 R7 R2 5G R6 4G R3 R5 R4 IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 10

11 Mappng new technologes wth 5G requrements Enablng technologes R1 R2 R3 R4 R5 R6 R7 Massve MIMO and beamformng New multple access technque (SCMA) or new waveforms (f- (f-ofdm, FBMC ) Full duplex rado mmwaves Cloud-RAN, and H-CRAN H-CRAN and SCNs D2D Communcaton Edge Cachng

12 Enhancng Energy Effcency wth CRAN/ H-CRAN RRH RRH BBU Fber lnks RRH Remote Rado Header BBU pool IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 12

13 Enhancng Energy Effcency wth CRAN/ H-CRAN Vrtualzed Control plane 5G GW Data plane 5G GW Data plane IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 13 BBU pool

14 Enhancng Energy Effcency wth CRAN/ H-CRAN Wth a vrtualzed control plane, the C-RAN/ H- CRAN help: better coordnate the nter-cell nterference better coordnate the MU-CoMP enhance the traffc balancng coordnate the traffc offloadng But also: Improve SE and EE Better handle the Small Cell sleep and wake up A few number of VMs s processng for the whole network. Reduce operatonal expendtures (OPEX) IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 14

15 D2D reduces latency, ncreases throughput and batteres lfe, but! Cellular Communcaton D2D Communcaton How to ncrease D2D communcatons whle respectng the qualty of servce of cellular users communcatons? IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 15

16 Proposed nose-rse based D2D Communcaton mode selecton Receved sgnal strength (db) D (km) /d (km) 150 IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 16 E.Fakhfakh, S.Hamouda, S.Tabbane, «Jont Mode Selecton and Power Allocaton for Better Traffc offloadng n D2D Communcatons», accepted n Annals of Telecommuncatons Journal, Sprnger, en March Interference mpact : = d log I A 10 D Nose rse : η = N + I N = N + Optmzaton problem: U D = 1 ( R ) d A log 10 D N ( 1+ ) max log γ 2 s.t η < η Thresh ( R )

17 Proposed nose-rse based D2D Communcaton mode selecton Total system throughput Nose rse Total throughput of D2D and cellular users (Mbps) Proposed Selecton Scheme Common Selecton Scheme Nose rse (db) Proposed Selecton Scheme Common Selecton Scheme Number of users n cell Number of users n the cell A good tradeoff between the number of D2D users and the system rado capacty Dr. Soumaya Hamouda 17 17

18 Proposed nose-rse based D2D Communcaton mode selecton Impact of the mobles dstrbuton Impact of the nose rse threshold Number of D2D users Proposed Selecon Scheme Common Selecton Scheme Total throughput of D2D and cellular users (Mbps) Proposed Selecton Scheme Common Selecton Scheme 0 Hotspots at the cell edge Hotspots at the cell center Nose rse threshold (db) D2D mode selecton s more effcent when t s appled at the cell edge. Dr. Soumaya Hamouda 18 18

19 Cogntve rado for D2D communcatons D2D D2D Cellular Communcatons Consderng the underlay mode, how to enhance a D2D communcaton performance whle reducng the nterference caused n the network? Secondary network Prmary network IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 19

20 Proposed barganng games for D2D communcatons Cooperatve Barganng Games G={I,S,U} Players: the SUs Tx (D2D TX-UE) Strategy: the SUs transmt powers set New objectve functon U Constrant takng nto account PU s qualty of servce. ( p, p ) = N log( R ) βp α Optmzaton problem (Non Cooperatve game): s.t γ γ mn S. Fourat, IEEE 5G S. Hamouda, Summt, SA 2017 B.T.Maharaj, «Barganng Dr. Soumaya Solutons Hamouda for Energy Effcent and Far Power Allocaton 20n Cogntve D2D Communcatons», Internatonal Journal of Computer Applcatons (IJCA), Vol 155 (6), pp 24-31, December 2016 ( ) max U p, p p N hm p =1 I Thres and N = 1 h m p max 0, = 1,..., p P N

21 Proposed barganng games for D2D communcatons Pareto-optmal convergence Energy effcency u tlty u utopa pont NE US NBS ES KSBS Energy Effcency(Mb/W) utlty u 1 0 NE US NBS ES KSBS The Utltaran Game Soluton acheves the best EE IEEE 5G Summt, SA 2017 Dr. Soumaya Hamouda 21 21

22 Savng energy wth mult-cast cachng Backhaul How to download the requred content at the edge whle reducng the power cost? Graph Theory S. Mrad, S. Hamouda, H.Rezg, «Graph Theory Based Multcast Cachng for Better Energy Savng n Dense Small Cell Networks IEEE 5G Summt,», accepted SA 2017 n IEEE Internatonal Dr. Wreless SoumayaCommuncatons Hamouda and Moble Computng Conference 22 (IWCMC 17), Span, June 2017

23 Savng energy wth mult-cast cachng Energy Effcency EE gan boundary A tradeoff between the number of the small cells nvolved n the graph and the cache sze n order to guarantee an effcent energy system. Dr. Soumaya Hamouda 23

24 Thank you