Feedback Limit e, Coop eration et Coordination dans les Syst emes Cellulaires Multi-antennaires

Cette these traite certains aspects lies a deux scenarios dans lesquels des techniques MIMO peuvent etre implementees : - Nous nous interessons d'abord a la voie descendante d'une cellule isolee ou une station de base (SB) dotee de plusieurs antennes sert des utilisateurs mono-antenne. Dans un tel systeme, la connaissance du canal au niveau de l'emetteur joue un role particulierement important. Vus cette importance et le fait que l'acquisition de cette connaissance necessite l'usage de ressources en voie ascendante, nous contribuons deux idees pour beneficier au mieux de la ressource dediee au feedback : la premiere consiste en une procedure de transmission en deux etapes, la deuxieme est une strategie decentralisee dans laquelle chaque utilisateur varie le nombre de bits utilises pour quantifier le canal en maintenant un debit moyen. - Ensuite, des scenarios multicellulaires sont consideres ou des techniques MIMO peuvent ameliorer la performance quand la totalite du spectre est reutilisee dans chaque cellule. Ainsi l'incorporation de plusieurs antennes au niveau d'une SB permet d'attenuer l'interference causee au niveau des cellules voisines. Une strategie de precodage est proposee qui necessite une connaissance locale du canal seulement qui dans de nombreux cas a une performance analogue a celles de strategies centralisees ou iteratives. Les techniques MIMO peuvent egalement etre etendues au traitement conjoint des signaux (multicell processing). Nous commencons a examiner le traitement des limitations liees aux couts en termes de backhaul pour le partage des donnees a envoyer et de l'information sur le canal.

[1]  R. Berry,et al.  Pricing Algorithms for Power Control and Beamformer Design in Interference Networks , 2009 .

[2]  Jeffrey G. Andrews,et al.  Orthogonal Beamforming for SDMA Downlink with Limited Feedback , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[3]  Antonia Maria Tulino,et al.  Impact of antenna correlation on the capacity of multiantenna channels , 2005, IEEE Transactions on Information Theory.

[4]  Roy D. Yates,et al.  Adaptive transmission with finite code rates , 2006, IEEE Transactions on Information Theory.

[5]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[6]  Shlomo Shamai,et al.  Cooperative Multicell Zero-Forcing Beamforming in Cellular Downlink Channels , 2009, IEEE Transactions on Information Theory.

[7]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.

[8]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization , 2005, IEEE Transactions on Communications.

[9]  Björn E. Ottersten,et al.  Acquiring Partial CSI for Spatially Selective Transmission by Instantaneous Channel Norm Feedback , 2008, IEEE Transactions on Signal Processing.

[10]  David Tse,et al.  Resource pooling and effective bandwidths in CDMA networks with multiuser receivers and spatial diversity , 2001, IEEE Trans. Inf. Theory.

[11]  A. Edelman Eigenvalues and condition numbers of random matrices , 1988 .

[12]  Stephen V. Hanly,et al.  Base Station Cooperation on the Downlink: Large System Analysis , 2010, IEEE Transactions on Information Theory.

[13]  David Gesbert,et al.  Decentralising Multicell Cooperative Processing: A Novel Robust Framework , 2009, EURASIP J. Wirel. Commun. Netw..

[14]  Yu-Chi Ho Team decision theory and information structures , 1980, Proceedings of the IEEE.

[15]  Giuseppe Caire,et al.  Multiuser MIMO Downlink Made Practical: Achievable Rates with Simple Channel State Estimation and Feedback Schemes , 2007, ArXiv.

[16]  Mohamed-Slim Alouini,et al.  How much feedback is multi-user diversity really worth? , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[17]  Mérouane Debbah,et al.  Outage efficient strategies for network MIMO with partial CSIT , 2009, 2009 IEEE International Symposium on Information Theory.

[18]  Howard C. Huang,et al.  Optimum power allocation for the MIMO-BC zero-forcing precoder with per-antenna power constraints , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

[19]  Erik G. Larsson,et al.  Complete Characterization of the Pareto Boundary for the MISO Interference Channel , 2008, IEEE Transactions on Signal Processing.

[20]  John M. Cioffi,et al.  Optimized transmission for fading multiple-access and broadcast channels with multiple antennas , 2006, IEEE Journal on Selected Areas in Communications.

[21]  Holger Boche,et al.  Effective bandwidth maximization for uplink/downlink multi-antenna systems , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[22]  David Gesbert,et al.  Spectrum sharing in multiple-antenna channels: A distributed cooperative game theoretic approach , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[23]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[24]  G. Wornell,et al.  MIMO Broadcast Scheduling with Limited Channel State Information , 2005 .

[25]  Jamie S. Evans,et al.  Large system performance of linear multiuser receivers in multipath fading channels , 2000, IEEE Trans. Inf. Theory.

[26]  Philippe Loubaton,et al.  On the Capacity Achieving Covariance Matrix for Rician MIMO Channels: An Asymptotic Approach , 2007, IEEE Transactions on Information Theory.

[27]  Giuseppe Caire,et al.  Joint Beamforming and Scheduling for a Multi-Antenna Downlink with Imperfect Transmitter Channel Knowledge , 2007, IEEE Journal on Selected Areas in Communications.

[28]  Roy D. Yates,et al.  On the Maximum Common Rate Achievable in a Coordinated Network , 2006, 2006 IEEE International Conference on Communications.

[29]  R. Radner,et al.  Team Decision Problems , 1962 .

[30]  Nihar Jindal,et al.  Multi-Antenna Broadcast Channels with Limited Feedback and User Selection , 2006 .

[31]  N.D. Sidiropoulos,et al.  On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm , 2005, IEEE Transactions on Signal Processing.

[32]  J. W. Silverstein,et al.  On the empirical distribution of eigenvalues of a class of large dimensional random matrices , 1995 .

[33]  Erik G. Larsson,et al.  The MISO interference channel from a game-theoretic perspective: A combination of selfishness and altruism achieves pareto optimality , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[34]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[35]  Robert W. Heath,et al.  What is the value of limited feedback for MIMO channels? , 2004, IEEE Communications Magazine.

[36]  T. Sälzer,et al.  From Single User to Multiuser Communications : Shifting the MIMO Paradigm , 2007 .

[37]  W. Utschick,et al.  Distributed resource allocation schemes , 2009, IEEE Signal Processing Magazine.

[38]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[39]  H. Vincent Poor,et al.  Asymptotic spectral efficiency of multicell MIMO systems with frequency-flat fading , 2003, IEEE Trans. Signal Process..

[40]  David Tse,et al.  Multicell Downlink Capacity with Coordinated Processing , 2008, EURASIP J. Wirel. Commun. Netw..

[41]  Babak Hassibi,et al.  On the capacity of MIMO broadcast channels with partial side information , 2005, IEEE Transactions on Information Theory.

[42]  Zhi-Quan Luo,et al.  Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem , 2003, IEEE Trans. Signal Process..

[43]  Wei Yu,et al.  Coordinated beamforming for the multi-cell multi-antenna wireless system , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[44]  Shlomo Shamai,et al.  Downlink Multicell Processing with Limited-Backhaul Capacity , 2009, EURASIP J. Adv. Signal Process..

[45]  Wei Yu,et al.  Uplink-downlink duality via minimax duality , 2006, IEEE Transactions on Information Theory.

[46]  Leandros Tassiulas,et al.  Transmit beamforming and power control for cellular wireless systems , 1998, IEEE J. Sel. Areas Commun..

[47]  Jeffrey G. Andrews,et al.  Multi-user Aware Limited Feedback for MIMO Systems , 2007 .

[48]  Alexander M. Haimovich,et al.  CTH11-2: Distributed Multi-Cell Zero-Forcing Beamforming in Cellular Downlink Channels , 2006, IEEE Globecom 2006.

[49]  Ami Wiesel,et al.  Linear precoding via conic optimization for fixed MIMO receivers , 2006, IEEE Transactions on Signal Processing.

[50]  Dirk T. M. Slock,et al.  Interference alignment limits for K-user frequency-flat MIMO interference channels , 2009, 2009 17th European Signal Processing Conference.

[51]  Ami Wiesel,et al.  Zero-Forcing Precoding and Generalized Inverses , 2008, IEEE Transactions on Signal Processing.

[52]  Gerhard Fettweis,et al.  On Base Station Cooperation Schemes for Downlink Network MIMO under a Constrained Backhaul , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[53]  O. Somekh,et al.  Joint multi-cell processing for downlink channels with limited-capacity backhaul , 2008, 2008 Information Theory and Applications Workshop.

[54]  J. Tsitsiklis Decentralized Detection' , 1993 .

[55]  David Tse,et al.  Opportunistic beamforming using dumb antennas , 2002, IEEE Trans. Inf. Theory.

[56]  David Gesbert,et al.  Efficient Metrics for Scheduling in MIMO Broadcast Channels with Limited Feedback , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[57]  William Equitz,et al.  Successive refinement of information , 1991, IEEE Trans. Inf. Theory.

[58]  Roy D. Yates,et al.  Optimum Zero-forcing Beamforming with Per-antenna Power Constraints , 2007, 2007 IEEE International Symposium on Information Theory.

[59]  G.B. Giannakis,et al.  Quantifying the power loss when transmit beamforming relies on finite-rate feedback , 2005, IEEE Transactions on Wireless Communications.

[60]  Gerhard Fettweis,et al.  A Framework for Optimizing the Uplink Performance of Distributed Antenna Systems under a Constrained Backhaul , 2007, 2007 IEEE International Conference on Communications.

[61]  Emil Björnson,et al.  Cooperative Multicell Precoding: Rate Region Characterization and Distributed Strategies With Instantaneous and Statistical CSI , 2010, IEEE Transactions on Signal Processing.

[62]  Jamie S. Evans,et al.  Scaling results on the sum capacity of cellular networks with MIMO links , 2006, IEEE Transactions on Information Theory.

[63]  Wei Yu,et al.  Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints , 2007, IEEE Transactions on Signal Processing.

[64]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[65]  K. Khalil On the Complexity of Decentralized Decision Making and Detection Problems , 2022 .

[66]  Jamie S. Evans,et al.  Multiuser Transmit Beamforming via Regularized Channel Inversion: A Large System Analysis , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[67]  David Tse,et al.  Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity , 1999, IEEE Trans. Inf. Theory.

[68]  Yeheskel Bar-Ness,et al.  Asymptotic Analysis of Reduced-Feedback Strategies for MIMO Gaussian Broadcast Channels , 2008, IEEE Transactions on Information Theory.

[69]  Gerhard Kramer,et al.  Topics in Multi-User Information Theory , 2008, Found. Trends Commun. Inf. Theory.

[70]  Thomas L. Marzetta,et al.  Fast transfer of channel state information in wireless systems , 2006, IEEE Transactions on Signal Processing.

[71]  John M. Cioffi,et al.  Opportunistic Feedback Protocol for Achieving Sum-Capacity of the MIMO Broadcast Channel , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[72]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[73]  Nihar Jindal,et al.  MIMO broadcast channels with finite rate feedback , 2006, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[74]  Andrea J. Goldsmith,et al.  Finite-Rate Feedback MIMO Broadcast Channels with a Large Number of Users , 2006, 2006 IEEE International Symposium on Information Theory.

[75]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[76]  Erik G. Larsson,et al.  Competition Versus Cooperation on the MISO Interference Channel , 2008, IEEE Journal on Selected Areas in Communications.

[77]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[78]  David Gesbert,et al.  Enhanced multiuser random beamforming: dealing with the not so large number of users case , 2008, IEEE Journal on Selected Areas in Communications.

[79]  E. Visotsky,et al.  Optimum beamforming using transmit antenna arrays , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[80]  David Tse,et al.  Downlink-uplink duality and effective bandwidths , 2002, Proceedings IEEE International Symposium on Information Theory,.

[81]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[82]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[83]  D. Slepian,et al.  A coding theorem for multiple access channels with correlated sources , 1973 .

[84]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[85]  Gregory W. Wornell,et al.  MIMO Broadcast Scheduling with Quantized Channel State Information , 2006, 2006 IEEE International Symposium on Information Theory.

[86]  Helmut Bölcskei,et al.  Interference alignment with limited feedback , 2009, 2009 IEEE International Symposium on Information Theory.

[87]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[88]  S. Barbarossa,et al.  Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels: A Unified Framework , 2007, 2007 Information Theory and Applications Workshop.

[89]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.