NDLI: Power efficient resource allocation in uplink SC-FDMA systems

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, A. Assaad, M.
Copyright Year	2011
Description	Author affiliation: Department of Telecommunications, SUPELEC, 91192 Gif-sur-Yvette, France (Ahmad, A.; Assaad, M.)
Abstract	In this paper, we study sum-power minimization problem in SC-FDMA which is adopted as the multiple access scheme for uplink in the 3GPP-LTE standard. Unlike OFDMA, in addition to the restriction of allocating a sub-channel to one user at most, the multiple sub-channels allocated to a user in SC-FDMA should be consecutive as well. This renders the resource allocation problem prohibitively difficult and the standard optimization tools (e.g., Lagrange dual approach widely used for OFDMA, etc.) can not help towards its optimal solution. We propose a novel polynomial-complexity optimization framework that is inspired from the recently developed canonical duality theory. We first formulate the resource allocation problem as a binary-integer programming (BIP) problem and then transform the BIP problem into a continuous space canonical dual problem which is a concave maximization problem under certain conditions. Based on the solution of the canonical dual problem, we derive a joint power and sub-channels allocation algorithm that has polynomial complexity. We provide conditions under which the proposed algorithm is optimal. The proposed framework is illustrated through simulations where the results show that the proposed algorithm improves the system performance significantly.
Starting Page	1351
Ending Page	1355
File Size	321486
Page Count	5
File Format	PDF
ISBN	9781457713460
e-ISBN	9781457713484
e-ISBN	9781457713477
DOI	10.1109/PIMRC.2011.6139722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Optimization Complexity theory Frequency division multiaccess Transforms Signal to noise ratio Fading
Content Type	Text
Resource Type	Article

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