机构地区:[1]Electronic&Telecommunications Engineering Department,The American University of Kurdistan,Duhok,Kurdistan Region,Iraq [2]CTTC,Barcelona,Spain [3]Faculty of Electrical and Electronics Engineering,Istanbul Technical University,Istanbul,Turkey [4]Department of Information Systems,King Khalid University,Muhayel Aseer,Saudi Arabia [5]Faculty of Computing and Informatics,University Malaysia Sabah,Kota Kinabalu,Malaysia [6]Information Assurance and Security Research Group(IASRG),School of Computing,Faculty of Engineering,Universiti Teknologi Malaysia,Johor,Malaysia [7]R&D,Ministry of Industry and Minerals,Baghdad,Iraq
出 处:《Computers, Materials & Continua》2023年第5期3045-3064,共20页计算机、材料和连续体(英文)
基 金:Authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project under Grant Number RGP.2/111/43;supported in part by the Agencia Estatal de Investigación,Ministerio de Ciencia e Innovación(MCIN/AEI/10.13039/501100011033);the R+D+i Project under Grant PID2020-115323RB-C31;in part by the Grant from the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU under Grant UNICO-5G I+D/AROMA3D-Hybrid TSI-063000-2021-71.
摘 要:The computational complexity of resource allocation processes,in cognitive radio networks(CRNs),is a major issue to be managed.Furthermore,the complicated solution of the optimal algorithm for handling resource allocation in CRNs makes it unsuitable to adopt in real-world applications where both cognitive users,CRs,and primary users,PUs,exist in the identical geographical area.Hence,this work offers a primarily price-based power algorithm to reduce computational complexity in uplink scenarioswhile limiting interference to PUs to allowable threshold.Hence,this paper,compared to other frameworks proposed in the literature,proposes a two-step approach to reduce the complexity of the proposed mathematical model.In the first step,the subcarriers are assigned to the users of the CRN,while the cost function includes a pricing scheme to provide better power control algorithm with improved reliability proposed in the second stage.The main contribution of this paper is to lessen the complexity of the proposed algorithm and to offer flexibility in controlling the interference produced to the users of the primary networks,which has been achieved by including a pricing function in the proposed cost function.Finally,the performance of the proposed power and subcarrier algorithm is confirmed for orthogonal frequency-division multiplexing(OFDM).Simulation results prove that the performance of the proposed algorithm is better than other algorithms,albeit with a lesser complexity of O(NM)+O(Nlog(N)).
关 键 词:Cognitive radio resource allocation OFDM PRICING
分 类 号:TN92[电子电信—通信与信息系统]
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