A matching game framework for users clustering and resource allocation with wireless power transfer in a CR-NOMA network

Deepa Das; Rajendra Kumar Khadanga; Deepak Kumar Rout

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A matching game framework for users clustering and resource allocation with wireless power transfer in a CR-NOMA network

机译：A matching game framework for users clustering and resource allocation with wireless power transfer in a CR-NOMA network

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This paper investigates the resource allocation in a massively deployed usercognitive radio enabled non-orthogonal multiple access (CR-NOMA) networkconsidering the downlink scenario. The system performance deteriorates withthe number of users who are experiencing similar channel characteristics fromthe base station (BS) in NOMA. To address this challenge, we propose a frameworkfor maximizing the system throughput that is based on one-to-onematching game theory integrated with the machine learning technique. Theproposed approach is decomposed to solve users clustering and power allocationsubproblems. The selection of optimal cluster heads (CHs) and their associatedcluster members is based on Gale-Shapley matching game theoreticalmodel with the application of Hungarian method. The CHs can harvest energyfrom the BS and transfer their surplus power to the primary user (PU) throughwireless power transfer. In return, they are allowed to access the licensed bandfor secondary transmission. The power allocation to the users intended forpower conservation at CHs is formulated as a probabilistic constraint, which isthen solved by employing the support vector machine (SVM) algorithm. Thesimulation results demonstrate the efficacy of our proposed schemes thatenable the CHs to transfer the residual power while ensuring maximum systemthroughput. The effects of different parameters on the performance arealso studied.

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来源
《International journal of communication systems》 |2023年第2期|e5376.1-e5376.19|共19页
作者
Deepa Das; Rajendra Kumar Khadanga; Deepak Kumar Rout;
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作者单位

Department of Electrical Engineering,Government College of EngineeringKalahandi, Bhawanipatna, India;

Department of Electrical and ElectronicsEngineering, Centurion University ofTechnology and Management,Bhubaneswar, India;

School of Electronics Engineering,Kalinga Institute of IndustrialTechnology, Bhubaneswar, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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关键词
clustering; CR-NOMA network; Gale-Shapley matching game; Hungarian method; support vector machine;

A matching game framework for users clustering and resource allocation with wireless power transfer in a CR-NOMA network

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