Agrawal, Rajeev and Berry, Randall and Huang, Jianwei and Subramanian, Vijay G. (2006) Optimal Scheduling for OFDMA Systems. In: Conference Record of The Fortieth Asilomar Conference on Signals, Systems & Computers, October 29 - November 1, 2006 Pacific Grove, California. IEEE, pp. 1347-1351. ISBN 1058-6393

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Abstract

We consider a scheduling and resource allocation problem for the downlink of an OFDMA-based wireless network, where the channel estimation error is modeled by a self-noise term in the decoding process. During each time-slot this involves selecting a subset of users for transmission, determining the assignment of available subcarriers to selected users, and for each subcarrier determining the transmission power and the coding and modulation scheme used. We address this in the context of a utility-based scheduling scheme presented in earlier papers. This results in an optimization problem, which is convex for a reasonable model of the feasible rates. By exploiting the structure of this problem, we develop optimal and sub-optimal algorithms for its solution. We provide simulation results comparing different algorithms and parameter settings.

Item Type:	Book Section
Additional Information:	"©2006 IEEE. Reprinted from Conference Record of The Fortieth Asilomar Conference on Signals, Systems & Computers, October 29 - November 1, 2006 Pacific Grove, California. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4176786&isnumber=4176491
Keywords:	Channel estimation; Frequency division multiple access; Radio communication; Scheduling; OFDMA systems; Channel estimation; Decoding process; Optimal scheduling; Resource allocation; Self-noise term; Wireless network; ACSSC '06; Hamilton Institute.
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	1772
Identification Number:	https://doi.org/10.1109/ACSSC.2006.354976
Depositing User:	Hamilton Editor
Date Deposited:	11 Jan 2010 12:21
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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