Proc. IEEE Asilomar
Conference on Signals, Systems, and Computers,
Oct. 30-Nov. 2, 2005, pp. 628-632.
Low Complexity User Selection Algorithms for
Multiuser MIMO Systems with Block Diagonalization
Zukang Shen,
Runhua Chen,
Jeffrey G. Andrews,
Robert W. Heath, Jr.,
and
Brian L. Evans
Wireless Networking and
Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
shen@ece.utexas.edu -
rhchen@ece.utexas.edu -
jandrews@ece.utexas.edu -
rheath@ece.utexas.edu -
bevans@ece.utexas.edu
Paper Draft -
Slides
Abstract
Block diagonalization (BD) is a precoding technique that
eliminates inter-user interference in downlink multiuser
multiple-input multiple-output (MIMO) systems.
With the assumptions that all users have the same number of
receive antennas and utilize all receive antennas when scheduled
for transmission, the number of simultaneously supportable users
with BD is limited by the ratio of the number of basestation
transmit antennas to the number of user receive antennas.
In a downlink MIMO system with a large number of users, the
basestation may select a subset of users to serve in order to
maximize the total throughput.
The brute-force search for the optimal user set, however, is
computationally prohibitive.
We propose two low-complexity suboptimal user selection algorithms
for multiuser MIMO systems with BD.
Both algorithms aim to select a subset of users such that the
total throughput is nearly maximized.
The first user selection algorithm greedily maximizes the total
throughput, whereas the criterion of the second algorithm is
based on the channel energy.
We show that both algorithms have linear complexity in the
total number of users and achieve around 95% of the total
throughput of the complete search method in simulations.
COPYRIGHT NOTICE: All the documents on this server
have been submitted by their authors to scholarly journals or conferences
as indicated, for the purpose of non-commercial dissemination of
scientific work.
The manuscripts are put on-line to facilitate this purpose.
These manuscripts are copyrighted by the authors or the journals in which
they were published.
You may copy a manuscript for scholarly, non-commercial purposes, such
as research or instruction, provided that you agree to respect these
copyrights.
Last Updated 02/21/06.