Technical Program

Paper Detail

Paper:	SPCOM-L4.5
Session:	MIMO Training Design and Capacity Issues
Time:	Wednesday, May 17, 15:20 - 15:40
Presentation:	Lecture
Topic:	Signal Processing for Communication: MIMO precoder/decoder design, receiver algorithms
Title:	SUBOPTIMUM SPACE MULTIPLEXING STRUCTURE COMBINING DIRTY PAPER CODING AND RECEIVE BEAMFORMING
Authors:	Santiago Zazo, Universidad Politécnica de Madrid, Spain; Howard Huang, Bell Laboratories, Lucent Technologies, United States
Abstract:	We consider the MIMO broadcast channel where a base sta-tion with multiple antennas transmits simultaneously to many users. The optimum strategy with Channel State Information (CSI) at the transmitter is based on Dirty Paper Coding (DPC) principles. In this paper, we propose a suboptimum strategy suitable when terminals are equipped with multiple antennas. This approach combines DPC and receive beam-forming and is shown to provide near-optimum performance with very reasonable complexity. Beamforming design is based on the maximization of the sum rate while precoder design is based on Zero Forcing (ZF) criteria. We have to remark that it is not required iterative processes or interaction between transmitter and receivers to find the suboptimum solution. It is also important to mention that each terminal just needs to know its own channel to perform the optimiza-tion while the base station requires full knowledge of all users’ channels.