NDLI: Resource Allocation of noncooperative multi-cell for cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Haijian Zhang Le Ruyet, D. Roviras, D. Hong Sun
Copyright Year	2009
Description	Author affiliation: Signal Processing Laboratory, Wuhan University, Wuhan, China (Haijian Zhang; Hong Sun) \|\| Electronics and Communications Laboratory, CNAM Paris, France (Le Ruyet, D.; Roviras, D.)
Abstract	Cognitive Radio (CR) is proposed to improve frequency efficiency while avoiding interference with licensed users. In this paper, we adopt a Resource Allocation (RA) algorithm to perform uplink frequency allocation and power control between noncooperative multi-cell for CR network. The proposed RA algorithm is an extension of Iterative Water-Filling Algorithm (IWFA) applied to single-cell. The maximization of total information rates of multiple users in one cell is considered for Gaussian channel with pathloss, subject to power constraint on each user. By using Multiple Access Channel (MAC) capacity region, the optimization problem is formulated as a decentralized game, in which each base station, trying to maximize the sum-rate of its own users, is a player, and Nash Equilibrium (NE) can be achieved to guarantee global convergence. Our algorithm shows higher sum-rate than the traditional FDMA by sharing one and more subcarriers for different users. Final simulation results show that our algorithm can achieve more information rate than fixed channel allocation algorithm.
Starting Page	101
Ending Page	105
File Size	206823
Page Count	5
File Format	PDF
ISBN	9781424435845
DOI	10.1109/ISWCS.2009.5285324
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power control Chromium Frequency Iterative algorithms Resource management Cognitive radio Gaussian channels Information rates Radiofrequency interference Radio spectrum management
Content Type	Text
Resource Type	Article

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