IEEE Transactions on Communications,
vol. 57, no. 1, Jan. 2009, pp. 232-241.
Optimal Resource Allocation in OFDMA
Systems with Imperfect Channel Knowledge
Ian C. Wong and
Brian L. Evans
Department of Electrical and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
ian.wong@ieee.org -
bevans@ece.utexas.edu
Paper Draft
OFDMA Resource Allocation Results by Prof. Evans' Group
Software Release
from Dr. Ian Wong's PhD Dissertation
Abstract
Previous research efforts on OFDMA resource allocation have typically
assumed the availability of perfect channel state information (CSI).
Unfortunately, this is unrealistic, primarily due to channel estimation
errors, and more importantly, channel feedback delay.
In this paper, we develop optimal resource allocation algorithms for
OFDMA systems assuming the availability of only partial (imperfect) CSI.
We consider both continuous and discrete ergodic weighted sum rate
maximization subject to total power constraints, and average bit error
rate constraints for the discrete rate case.
We approach these problems using a dual optimization framework, allowing
us to solve these problems with O(M K) complexity
per symbol for an OFDMA system with K used subcarriers and M
active users, while achieving relative optimality gaps of less than
10-5 for continuous rates and less than 10-3 for
discrete rates in simulations based on realistic parameters.
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 12/12/14.