Title :
Optimizing ZF precoders for MIMO broadcast systems
Author :
Sripathi, Prashant U. ; Lehnert, James S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
Abstract :
In this paper we develop optimization techniques for linear zero-forcing (ZF) MIMO broadcast (BC) precoders. A computationally efficient technique based on QR-update algorithms for implementing this optimization is then proposed. The application of the proposed ZF precoders and decoders to both large and small (in terms of the number of users) systems is considered. It is also shown that the proposed optimization technique is robust and performs very well with non-linear Tomlinson-Harashima precoding. Both coded and uncoded performances are considered
Keywords :
MIMO systems; broadcasting; linear codes; nonlinear codes; optimisation; precoding; radiocommunication; MIMO broadcast systems; QR-update algorithms; Tomlinson-Harashima precoding; linear zero-forcing precoders; nonlinear precoding; optimization technique; Application software; Bit error rate; Broadcasting; Decoding; Downlink; MIMO; Receiving antennas; Robustness; Transmitters; Transmitting antennas;
Conference_Titel :
Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
1-4244-0269-7
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2006.1696581