Slow adaptive OFDMA via stochastic programming
Author(s)
Li, Wei Liang (William); Zhang, Ying Jun (Angela); Win, Moe Z
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Fueled by the promises of high spectral efficiency, adaptive OFDMA has attracted enormous research interests over the last decade. The significant capacity gain of adaptive OFDMA comes from fast adaptation of resource allocation in response to instantaneous channel conditions. Despite years of efforts to improve the practicality of adaptive OFDMA, such promising technique is still far from real implementation due to the prohibitively high computational complexity and excessive control overhead. This paper is an endeavor to address the problem by proposing a slow adaptation scheme, where resource allocation is adapted on a much slower time scale than the fluctuation of wireless channel fading. Specifically, the slow adaptive OFDMA is formulated into a stochastic programming problem, which adapts resource allocation according to the channel statistics within an adaptation window rather than according to instantaneous channel conditions. By tuning the length of the adaptation window, we could engineer a desirable tradeoff between spectral efficiency and computational complexity. Furthermore, the proposed scheme can be modified to accommodate inelastic traffics. The modification, referred to as "safe" slow adaptation, ensures worst-case data rates to all users. In this work, safe slow adaptation is formulated into a conic linear program, which is efficiently solved via interior-point methods. Through extensive simulations, we show that the proposed schemes drastically reduce the computational complexity and control overheads, while achieving satisfactorily high spectral efficiency and QoS provisioning as their fast-adaptation counterpart does with a much higher cost.
Date issued
2009-06Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics; Massachusetts Institute of Technology. Laboratory for Information and Decision SystemsJournal
IEEE International Conference on Communications 2009.
Publisher
Institute of Electrical and Electronics Engineers / IEEE Communications Society
Citation
Li, W. L., Y. J. Zhang, and M. Z. Win. “Slow Adaptive OFDMA via Stochastic Programming.” 2009 IEEE International Conference on Communications. Dresden, Germany, 2009. 1-6. WCopyright © 2009, IEEE
Version: Final published version
Other identifiers
INSPEC Accession Number: 10815418
ISBN
978-1-4244-3435-0
ISSN
1938-1883