Power Allocation for Maximizing Sum Capacity of Multiuser MIMO Downlink with Transmit Precoding Based on SLNR

Designing transmit precoding vectors based on maximizing signal-to-leakage-and-noise ratio (SLNR) provides a practical solution to the coupling problem encountered in the conventional designing methodology by maximizing signal-to-interference-plus-noise ratio (SINR). In this contribution, a simple but sophisticated iterative algorithm is proposed to find the optimal power allocation for the sake of increasing the sum capacity of the multiuser (MU) multiple-input-multiple-output (MIMO) downlink system. A sub-optimal power allocation scheme is also proposed for improving the sum capacity while limiting the system complexity. Simulation results are provided to demonstrate that our proposed power allocation schemes are capable of improving the sum capacity of the MU-MIMO downlink system.

[1]  Lie-Liang Yang,et al.  Transmitter-Preprocessing-Assisted Cooperative Downlink Transmission in DS-CDMA Systems Experiencing Propagation Path Loss and Nakagami-$m$ Fading , 2009, IEEE Transactions on Vehicular Technology.

[2]  Lie-Liang Yang,et al.  Performance of DS-CDMA downlink using transmitter preprocessing and relay diversity over Nakagami-m fading channels , 2009, IEEE Transactions on Wireless Communications.

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

[4]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

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

[6]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE International Conference on Communications, 2003. ICC '03..

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

[8]  Jaehyun Park,et al.  Efficient GSVD Based Multi-User MIMO Linear Precoding and Antenna Selection Scheme , 2009, 2009 IEEE International Conference on Communications.

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

[10]  Ari Hottinen,et al.  Increasing downlink cellular throughput with limited network MIMO coordination , 2009, IEEE Transactions on Wireless Communications.

[11]  Wang Jing-Jing,et al.  Dynamic Power Allocation Based on SLNR Precoding for Multi-User MIMO Downlink , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[12]  Xiaohu You,et al.  A Channel Adaptive Power Allocation Scheme Based on SLNR Precoding for Multiuser MIMO Systems , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[13]  Bruno Clerckx,et al.  MIMO techniques in WiMAX and LTE: a feature overview , 2010, IEEE Communications Magazine.

[14]  Jia Liu,et al.  A Novel Nonlinear Joint Transmitter-Receiver Processing Algorithm for the Downlink of Multiuser MIMO Systems , 2008, IEEE Transactions on Vehicular Technology.

[15]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[16]  David Gesbert,et al.  From theory to practice: an overview of MIMO space-time coded wireless systems , 2003, IEEE J. Sel. Areas Commun..

[17]  Kyoung-Jae Lee,et al.  A Two-Stage Precoding Method Based on Interference Alignment for Interference Channel Systems , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.