Title :
Dirty Paper Coding vs. Linear Precoding for MIMO Broadcast Channels
Author :
Lee, Juyul ; Jindal, Nihar
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
We study the MIMO broadcast channel and compare the achievable throughput for the optimal strategy of dirty paper coding to that achieved with sub-optimal and lower complexity linear precoding (e.g., zero-forcing and block diagonalization) transmission. Both strategies utilize all available spatial dimensions and therefore have the same multiplexing gain, but an absolute difference in terms of throughput does exist. The sum rate difference between the two strategies is analytically computed at asymptotically high SNR, and it is seen that this asymptotic statistic provides an accurate characterization at even moderate SNR levels. Weighted sum rate maximization is also considered, and a similar quantification of the throughput difference between the two strategies is computed. In the process, it is shown that allocating user powers in direct proportion to user weights asymptotically maximizes weighted sum rate.
Keywords :
MIMO communication; broadcast channels; channel coding; linear codes; multiplexing; optimisation; precoding; wireless channels; MIMO broadcast channel; asymptotic statistic; dirty paper coding; lower complexity linear precoding transmission; multiplexing gain; optimal strategy; weighted sum rate maximization; Aggregates; Broadcasting; Fading; MIMO; Mobile antennas; Rayleigh channels; Receiving antennas; Statistical analysis; Throughput; Transmitters;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.354855