On Downlink Network MIMO under a Constrained Backhaul and Imperfect Channel Knowledge

Next generation mobile communications systems will most likely employ network MIMO in order to mitigate inter-cell interference and improve system fairness and spectral efficiency. Critical issues of such schemes are, however, the large extent of backhaul infrastructure required for the information exchange between cooperating base stations, and the availability of channel knowledge at transmitter and receiver. In this paper, we consider a cooperative downlink transmission under a constrained backhaul, limited channel knowledge at base station and terminal side, and a per-antenna power constraint. We derive inner capacity bounds for different cooperation schemes through uplink/downlink duality and provide numerical results showing the superiority of certain cooperation schemes in terms of rate/backhaul tradeoff for different interference scenarios.

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

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

[3]  Shlomo Shamai,et al.  Uplink Macro Diversity with Limited Backhaul Capacity , 2007, 2007 IEEE International Symposium on Information Theory.

[4]  Jack K. Wolf,et al.  Noiseless coding of correlated information sources , 1973, IEEE Trans. Inf. Theory.

[5]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

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

[7]  P. Whiting,et al.  Information-theoretic capacity of multi-receiver networks , 1993, Telecommun. Syst..

[8]  G. Fettweis,et al.  A Decentralized Optimization Approach to Backhaul-Constrained Distributed Antenna Systems , 2007, 2007 16th IST Mobile and Wireless Communications Summit.

[9]  O. Simeone,et al.  Effects of imperfect channel state information on the capacity of broadcast OSDMA-MIMO systems , 2004, IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004..

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

[11]  Muriel Médard,et al.  The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel , 2000, IEEE Trans. Inf. Theory.

[12]  Jamie S. Evans,et al.  Distributed Downlink Beamforming With Cooperative Base Stations , 2008, IEEE Transactions on Information Theory.

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

[14]  Andrea J. Goldsmith,et al.  Capacity and power allocation for fading MIMO channels with channel estimation error , 2006, IEEE Trans. Inf. Theory.

[15]  Shlomo Shamai,et al.  Communication Via Decentralized Processing , 2005, IEEE Transactions on Information Theory.

[16]  Michael Gastpar,et al.  The Wyner-Ziv problem with multiple sources , 2004, IEEE Transactions on Information Theory.

[17]  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.

[18]  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.

[19]  G. Fettweis,et al.  A Framework for Determining Realistic Capacity Bounds for Distributed Antenna Systems , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Chengdu.

[20]  Babak Hassibi,et al.  On the Capacity Region of Multi-Antenna Gaussian Broadcast Channels with Estimation Error , 2006, 2006 IEEE International Symposium on Information Theory.

[21]  A. Sklavos,et al.  Joint transmission and detection integrated network (JOINT), a generic proposal for beyond 3G systems , 2002 .

[22]  Aitor del Coso,et al.  Distributed Compression for the Uplink of a Backhaul-Constrained Coordinated Cellular Network , 2008, ArXiv.

[23]  Shlomo Shamai,et al.  Enhancing the cellular downlink capacity via co-processing at the transmitting end , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

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

[25]  W. Miao,et al.  On the Achievable Rate of ZF-DPC for MIMO Broadcast Channels with Finite Rate Feedback , 2009, 2009 IEEE International Conference on Communications Workshops.