Adaptive gradient-based methods for adaptive power allocation in OFDM-based cognitive radio networks

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Title:	Adaptive gradient-based methods for adaptive power allocation in OFDM-based cognitive radio networks
Authors:	陳永芳;Pao, Wei-Chen;Chen, Yung-Fang
Contributors:	資訊電機學院通訊工程學系
Keywords:	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
Date:	2014-01-01
Issue Date:	2026-04-23 12:54:12 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
Abstract:	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
Appears in Collections:	[Department of Communication Engineering] journal & Dissertation

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