A sub-optimal interference-aware precoding scheme with other-cell interference for downlink multi-user MIMO channel

We propose a linear precoding technique, called multiuser generalized eigenmode transmission (MGET), based on the leakage-based precoding technique. A signal-to-leakage-plus-noise (SLNR) precoding scheme is one approach for linear precoding in the multiple-input multiple-output broadcast channel that sends multiple data streams to different users in the same cell. Unfortunately, SLNR-based scheme neglects other-cell interference, which limits the performance of users at the edge of the cell. MGET addresses the shortcomings of previous SLNR-based beamformers by transmitting to each user on one or more eigenmodes chosen using a greedy algorithm as well as presenting an interference-aware enhancement to SLNR precoding scheme that uses a whitening filter for interference suppression at the receiver and a novel precoder using the interference-plus-noise covariance matrix for each user at the transmitter. We consider the typical sum-power constraint (SPC). Numerical results show that the proposed MGET technique outperforms previous linear techniques.

[1]  David James Love,et al.  Feedback rate-capacity loss tradeoff for limited feedback MIMO systems , 2006, IEEE Transactions on Information Theory.

[2]  Angel E. Lozano,et al.  Link-optimal space-time processing with multiple transmit and receive antennas , 2001, IEEE Communications Letters.

[3]  David Tse,et al.  Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality , 2003, IEEE Trans. Inf. Theory.

[4]  Jeffrey G. Andrews,et al.  Overcoming interference in spatial multiplexing MIMO cellular networks , 2007, IEEE Wireless Communications.

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

[6]  Holger Boche,et al.  Solution of the multiuser downlink beamforming problem with individual SINR constraints , 2004, IEEE Transactions on Vehicular Technology.

[7]  Geoffrey Ye Li,et al.  Effects of Spatial Correlation on MIMO Adaptive Antenna System With Optimum Combining , 2007, IEEE Transactions on Wireless Communications.

[8]  Federico Boccardi,et al.  A Near-Optimum Technique using Linear Precoding for the MIMO Broadcast Channel , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[9]  Ali H. Sayed,et al.  A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels , 2007, IEEE Transactions on Wireless Communications.

[10]  Mohamed-Slim Alouini,et al.  Capacity of MIMO channels in the presence of co-channel interference , 2007, Wirel. Commun. Mob. Comput..

[11]  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.

[12]  Ali H. Sayed,et al.  Active Antenna Selection in Multiuser MIMO Communications , 2007, IEEE Transactions on Signal Processing.

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

[14]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[15]  Jeffrey G. Andrews,et al.  Multiuser Space-Time Block Coded MIMO System with Unitary Downlink Precoding , 2004 .