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Secure resource allocation for energy harvesting cognitive radio sensor networks without and with cooperative jamming
Xu C(许驰)1,2; Song CH(宋纯贺)1,2; Zeng P(曾鹏)1,2; Yu HB(于海斌)1,2
Department工业控制网络与系统研究室
Source PublicationComputer Networks
ISSN1389-1286
2018
Volume141Pages:189-198
Indexed BySCI ; EI
EI Accession number20182505353559
WOS IDWOS:000441117100016
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China ; State Grid Corporation Science and Technology Project
KeywordCognitive Radio Sensor Networks Energy Harvesting Small Cell Resource Allocation Physical Layer Security Secrecy Rate
Abstract

This paper studies secure resource allocation for energy harvesting cognitive radio sensor networks (EH-CRSNs) underlaying a small cell network, wherein the small cell base station (SCBS) employs adaptive or fixed transmit power for cooperative jamming or not while serving cellular users (CUs). Correspondingly, cognitive sensors (CSs) first harvest energy from the RF signals of SCBS and then communicate with each other concurrently with CUs in the licensed cellular channel which is wiretapped by an eavesdropper. Fully considering the peak interference power at CUs and the energy causality imposed by energy harvesting and processing cost, we investigate two secrecy rate maximization problems for secure resource allocation. For EH-CRSNs without cooperative jamming, we first transform the original non-convex problem into a convex problem and then employ the primary decomposition method to derive the optimal harvesting time and power allocation, with which CSs can perform reactive secure resource allocation according to the instantaneous channel state and the setup of the small cell. For EH-CRSNs with cooperative jamming, we employ the iterative optimization method to optimize the charging time and power allocation, with which SCBS can perform proactive secure resource allocation according to the instantaneous channel state. Extensive simulations evaluate the performance of EH-CRSNs and validate the effectiveness of the proposed algorithms.

Language英语
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS KeywordWIRELESS ; OPTIMIZATION ; MAXIMIZATION ; CHALLENGES ; SECRECY
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectNational Natural Science Foundation of China[61533015] ; State Grid Corporation Science and Technology Project[5222XT18002Y]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/22089
Collection工业控制网络与系统研究室
Corresponding AuthorZeng P(曾鹏)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China;
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Xu C,Song CH,Zeng P,et al. Secure resource allocation for energy harvesting cognitive radio sensor networks without and with cooperative jamming[J]. Computer Networks,2018,141:189-198.
APA Xu C,Song CH,Zeng P,&Yu HB.(2018).Secure resource allocation for energy harvesting cognitive radio sensor networks without and with cooperative jamming.Computer Networks,141,189-198.
MLA Xu C,et al."Secure resource allocation for energy harvesting cognitive radio sensor networks without and with cooperative jamming".Computer Networks 141(2018):189-198.
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