Paper: | SPCOM-P2.7 |
Session: | Resource Allocation (MAC and Scheduling) |
Time: | Tuesday, May 16, 10:30 - 12:30 |
Presentation: |
Poster
|
Topic: |
Signal Processing for Communication: Power control, resource management, system level optimization |
Title: |
Improving Minimum Rate Maximization Link Adaptation Strategy Using Channel Prediction |
Authors: |
Ayman Alsawah, Inbar Fijalkow, ETIS Laboratory - ENSEA - University of Cergy - CNRS, France; C. Richard Johnson, Jr., Cornell University, United States |
Abstract: |
Minimum Rate Maximization (MRM) is a link adaptation strategy that guarantees a minimum quality of service, in terms of instantaneous signal-to-interference-plus-noise ratio, to all users in a DS-CDMA system. This is achieved by power and rate allocation that maximizes the minimum user information rate. As MRM resource allocation relies on knowledge of the channel coefcients, the achievable quality of service suffers from a degradation when the channel is dynamic and imperfectly estimated. The purpose of this paper is to add Auto-Regressive channel prediction to compensate for the Doppler-induced channel time-variations and improve the performance of the MRM strategy. |