Fractional Base Station Cooperation Cellular Network
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1 Fractonal Base Staton Cooperaton Cellular Network Naok usashma Tokyo Insttute of Technoloy, Department of Electrcal and Electronc Enneern, Arak-Sakauch Laboratores.
2 Contents Backround Cell-ede problem Conventonal soluton for the cell-ede problem Base staton cooperaton Base staton cooperaton block daonalzaton mult-user MIMO Combnaton of mult-user Cooperatve reon Fractonal base staton cooperaton cellular network Fractonal Base Staton Cooperaton Dynamc clustern Numercal smulaton Concluson
3 Cell-ede problem If user at the cell-ede locaton Low SNR Co-channel nterference from adacent BSs h antenna correlaton Low user throuhput Cell-ede problem Co-channel nterference h antenna correlaton Snal nd path Interference st path 3
4 Conventonal soluton for cell-ede problem Conventonal soluton Frequency reuse Each BSs uses dfferent frequency channel from surroundn cells. It causes deradn of system throuhput. Interference cancellaton usn termnal adaptve array cancels nterference by termnals. It requres many antennas to perform multplexn and cancellaton at the same tme. Interference cancellaton Frequency reuse usn termnal adaptve array 4
5 Base staton cooperaton Base Staton Cooperaton (BSC) BSC transmts multple streams to cooperate wth adacent BSs. There are no problems of nor nter-cell nterference nor hh antenna correlaton. BSC snle-user (BSC-SU) For snle user BSC-SU wastes many resources to a user. BSC mult-user (BSC-MU) For multple users BSC-MU uses resource more effcent than BSC-SU. Base staton cooperaton Snle-User Base staton cooperaton Mult-User 5
6 Base staton cooperaton block daonalzaton mult-user MIMO Transmsson model of ( BS,M) ( MS,N) BSC-MU-MIMO d D d D d d d nd user st BS st user d nd BS d D :dstance between th BS and th user :pathloss between th BS and th user Receve snal of th user y x x BS x BS n y : receve snal vector : channel matrx Q : precodn matrx of x block daonalzaton : transmt snal vector s n : nose vector : transmt data snal vector V : precodn matrx of SVD-MIMO 6 Q Vs n
7 Base staton cooperaton block daonalzaton mult-user MIMO Block daonalzaton MS BS BS BS MS MS BS BS MS n n s s V Q Q V V Q Q V y y MS BS BS MS n n s s V O O V Channel matrx s block daonalzed \ \ svd Q V O U T T T T T \ MS,...,,,..., Precodn matrx Q O Q 7
8 Base staton cooperaton block daonalzaton mult-user MIMO d :fadn matrx We decompose the channel matrx nto fadn matrx and pathloss matrx I G G G O O G d d d d F G G Q O d d Block daonalzaton precodn matrx of BSC O Q Receve snal of th user n Vs n Q Vs y d d d F G G G Q d :The equvalent fadn matrx of th user 8
9 Base staton cooperaton block daonalzaton mult-user MIMO Transmt power from th BS P Power normalzaton factor Ω reulates the transmt power E x x P d d d d Averae receve SNR of th user Capacty of th user C k P x :power normalzaton factor :maxmum BS transmt power E Vs M x,..., x k MS :transmt snal of th BS lo :kth eenvalue of equvalent channel k P 9
10 d [m] Power normalzaton factor Ω d d BS MS MS BS Ω d =d Ω max = d [m] 0.7 Co-scheduln The BSs select users wth the same SINR d >>d, d <<d Ω mn =/3 0
11 Averae user capacty [bps/z] d [m] Capacty of (,)x(,) BSC-MU-MIMO Averae capacty of st user at dfferent dstance 40 x SC-MIMO Ideal 35 x SC-MIMO (,)x(,) BSC-MU 30 co-schedule (,)x(,) BSC-MU 5 user at cell-ede User 400 at cell-ede d [m] Co-scheduln Ω Dstance from BS to user [m] Co-scheduln s the optmal user selecton Co-scheduln BSC-MU s almost the same capacty as x SC-MIMO deal User at cell-ede Capacty s decreased about 3bps where dstance s from 00m to 300m
12 Cooperatve reon Analyss consdern overhead s necessary Overhead : the cost of resource for transmsson (ex. Reference snal, uard band, cyclc prefx) Comparson of spectral effcency Spectral effcency R R SC MC SU MU C C SC MC : bandwdth neffcences consdern overhead Cell-nner Non-cooperatve reon Cell-ede Snle-cell MIMO s effcent at cell-nner Cooperatve reon BSC MIMO s effcent at cell-ede
13 Fractonal Base Staton Cooperaton Snle-cell MIMO (conventonal cellular system) Cell-nner : effcent Cell-ede : not effcent Base staton cooperaton MIMO Cell-nner : not effcent Cell-ede : effcent Fractonal Base Staton Cooperaton (FBSC) Cell-nner:uses snle-cell MIMO Cell-ede:uses BSC MIMO FBSC s performed to acheve ans both at the cell-nner and cell-ede. 3
14 Cooperaton clustern Clustern Statc clustern Cooperaton set s fxed By-product cell-ede s created. Dynamc clustern makes cooperaton set adaptvely. Cooperaton s effcent at all cell-edes. Statc By-product cell-ede Dynamc 4
15 Dynamc clustern : master cell : slave cell 5
16 Fractonal base staton cooperaton cellular network Fractonal base staton cooperaton cellular network Dstrbuted controller Network layer Fractonal base staton cooperaton Dynamc clustern Cooperatve reon Physcal layer Non-cooperatve reon 6
17 Smulaton scenaro Comparson transmsson Snle-cell SISO Snle-cell MIMO x SVD-MIMO Mult-cell statc clustern BSC s performed at all locatons Statc clustern Fractonal Base Staton Cooperaton Cellular Network (FBSC-CN) Cooperatve reon Cooperatve reon at 9-cell scenaro Cooperatve reon Non-cooperatve reon 7
18 Smulaton scenaro Parameters Number of cell Number of user Number of cooperaton set Number of antenna ( BS, user ) Channel model Pathloss model Transmt power Nose level Ste to ste dstance Scheduler Snle-user MIMO scheme Smulaton parameter Values 9 cells 0 users / cell 3 cells, (SISO) or, (MIMO)..d. Rayleh lo 0 (d[m]) [db] (3GPP TR : Urban Macro) 40[dBm] -00[dBm] 000 m Round-robn & co-scheduln SVD-MIMO Mult-user MIMO scheme Generalzed BD [*] * V. Stankovc, M. aardt, Generalzed desn of mult-user MIMO precodn matrces, IEEE Trans. Wreless Commun., vol.7, no.3, pp , Mar
19 User spectral effcency [bps/z/user] Smulaton result User capacty at the dstance locatons Snle-cell SISO Snle-cell MIMO Frequency reuse Interference cancellaton Mult-cell statc clustern FBSC-CN Fractonal BSC User capacty at the cell-nner s as hh as Snlecell MIMO User capacty at the cell-ede s almost the same wth BS cooperaton Dstance from BS to user [m] 9
20 CDF Smulaton result CDF of nstantaneous capacty at cell-ede user FBSC s hher capacty than other scheme at all probablty 0.4 Snle-cell SISO 0. Snle-cell MIMO Mult-cell statc clustern 0.05 FBSC-CN User spectral effcency [bps/z] 0
21 Cell-ede user spectral effcency [bps/z/user] Averae cell spectral effcency [bps/z] Smulaton result 4 3 Averae cell spectral effcency and cell-ede spectral effcency (shadow fadn standard devaton = 8[dB]) w/o shadow fadn w/ shadow fadn Snle-cell SISO w/o shadow fadn w/ shadow fadn Snle-cell MIMO Mult-cell Statc clustern FBSC-CN Snle-cell SISO Snle-cell MIMO Mult-cell Statc clustern FBSC-CN The averae cell spectral effcency of FBSC s slhtly mproved than snle-cell MIMO The cell-ede user spectral effcency of FBSC s.4 tmes as hh as that of snle-cell MIMO
22 Concluson BSC solves the cell-ede problem. Fractonal BSC s proposed. FBSC performs to acheve ans both at the cell-nner and cell-ede. FBSC cellular network s proposed. In FBSC-CN, cooperaton sets are constructed dynamcally. Numercal smulaton shows that FBSC performs effcently both at cell-nner and cellede.
23 Thank you for your attenton. 3
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