Elements of information theory
Elements of information theory
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Analysis and design of OFDM/OQAM systems based on filterbank theory
IEEE Transactions on Signal Processing
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels
IEEE Transactions on Information Theory
Non-Cooperative Resource Competition Game by Virtual Referee in Multi-Cell OFDMA Networks
IEEE Journal on Selected Areas in Communications
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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.