Joint multiuser transmit-receive optimization using linear processing
- 1 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 588-592
- https://doi.org/10.1109/icc.2004.1312557
Abstract
In this paper we propose a novel method for joint transmit-receive linear optimization in the downlink of a multiuser MIMO communication system. This new method adapts existing joint linear optimization algorithms from the single user domain for application to the multiuser domain. The optimum transmit matrix is obtained using an iterative procedure based on a minimum mean-squared error (MMSE) criterion and a per-user power constraint; the optimum receive matrices for each user are then derived under an MMSE constraint. The proposed technique improves performance and increases data throughput in multiuser scenarios.Keywords
This publication has 8 references indexed in Scilit:
- Improved MIMO precoding for decentralized receivers resembling concepts from lattice reductionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Joint tx-rx beamforming design for multicarrier mimo channels: a unified framework for convex optimizationIEEE Transactions on Signal Processing, 2003
- Joint TX-RX optimisation for MIMO-SDMA based on a null-space constraintPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimal designs for space-time linear precoders and decodersIEEE Transactions on Signal Processing, 2002
- Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterionIEEE Transactions on Communications, 2001
- Capacity of Multi‐antenna Gaussian ChannelsEuropean Transactions on Telecommunications, 1999
- On Limits of Wireless Communications in a Fading Environment when Using Multiple AntennasWireless Personal Communications, 1998
- Sequential Quadratic ProgrammingActa Numerica, 1995