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    題名: Adaptive gradient-based methods for adaptive power allocation in OFDM-based cognitive radio networks
    作者: 陳永芳;Pao, Wei-Chen;Chen, Yung-Fang
    貢獻者: 資訊電機學院通訊工程學系
    關鍵詞: Algorithms;Allocations;Applied sciences;Cognitive radio;Cognitive radio (CR);Complexity;Computation;Computational complexity;Exact sciences and technology;gradient descent;Heuristic;Information, signal and communications theory;Interference constraints;Iterative methods;Mathematical analysis;Mathematical models;Multiplexing;Networks;OFDM;Orthogonal Frequency Division Multiplexing;orthogonal frequency-division multiplexing (OFDM);power allocation;Radiocommunication specific techniques;Radiocommunications;Resource management;Signal and communications theory;Telecommunications;Telecommunications and information theory;Vectors
    日期: 2014-01-01
    上傳時間: 2026-04-23 12:54:12 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
    摘要: 摘要: A gradient-based method is designed for power allocation in orthogonal-frequency-division-multiplexing (OFDM) -based cognitive radio networks. The resource allocation problem subject to a mutual interference constraint is considered. We utilize the gradient descent approach to allocate power to subcarriers in cognitive radio (CR) networks. The proposed gradient-based power allocation method with a well-designed step size can approximate the optimal solution within a few iterations. Due to the derived equation for power allocation in an adaptive manner, the proposed method is feasible for adaptive power allocation in time-varying channels. The analysis for the selection of the step size is presented in this paper. For comparison purposes, a greedy power-loading method requiring numerous iterations is also designed for this power allocation problem. The proposed gradient-based method and the greedy power-loading method both have a computational complexity of O(N), but the proposed gradient-based method requires far fewer iterations. As demonstrated in the simulation results, the proposed gradient-based method with the adaptive step size has a fast rate to achieve a near-optimal solution within an extremely small number of iterations and has quite a low computational complexity of O(N).
    其他題名: TVT
    出版者: New York, NY: IEEE
    出版日期: 2014-02-01
    出處: IEEE Transactions on Vehicular Technology, 2014-02, Vol.63 (2), p.836-848
    資源來源: IEEE Xplore
    版權: 2015 INIST-CNRS
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Feb 2014
    識別號: ISSN: 0018-9545
    識別號: EISSN: 1939-9359
    識別號: DOI: 10.1109/TVT.2013.2272804
    識別號: CODEN: ITVTAB
    顯示於類別:[通訊工程學系] 期刊論文

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