Iterative multiuser uplink and downlink beamforming under SINR constraints
- 20 June 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 53 (7) , 2324-2334
- https://doi.org/10.1109/tsp.2005.849164
Abstract
We study the problem of power efficient multiuser beamforming transmission for both uplink and downlink. The base station is equipped with multiple antennas, whereas the mobile units have single antennas. In the uplink, interference is canceled by successive decoding. In the downlink, ideal "dirty paper" precoding is assumed. The design goal is to minimize the total transmit power while maintaining individual SINR constraints. In the uplink, the optimization problem is solved by a recursive formula with low computational complexity. The downlink problem is solved by exploiting the duality between uplink and downlink; thus, the uplink solution carries over to the downlink. In the second part of the paper, we show how the solution can be applied to the problem of rate balancing in Gaussian multiuser channels. We propose a strategy for throughput-wise optimal transmission for broadcast and multiple access channels under a sum power constraint. Finally, we show that single-user transmission achieves the sum capacity in the low-SNR regime. We completely characterize the SNR-range where single-user transmission is optimal.Keywords
This publication has 35 references indexed in Scilit:
- Sum Capacity of Gaussian Vector Broadcast ChannelsIEEE Transactions on Information Theory, 2004
- Transmitter Optimization and Optimality of Beamforming for Multiple Antenna SystemsIEEE Transactions on Wireless Communications, 2004
- Channel aware scheduling for multiple antenna multiple access channelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Convex OptimizationPublished by Cambridge University Press (CUP) ,2004
- Duality, achievable rates, and sum-rate capacity of gaussian mimo broadcast channelsIEEE Transactions on Information Theory, 2003
- Sum capacity of the vector Gaussian broadcast channel and uplink–downlink dualityIEEE Transactions on Information Theory, 2003
- Information capacity and power control in single-cell multiuser communicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Determinant Maximization with Linear Matrix Inequality ConstraintsSIAM Journal on Matrix Analysis and Applications, 1998
- Nearest neighbor decoding for additive non-Gaussian noise channelsIEEE Transactions on Information Theory, 1996
- An outer bound to the capacity region of broadcast channels (Corresp.)IEEE Transactions on Information Theory, 1978