Max-Ratio Relay Selection in Secure Buffer-Aided Cooperative Wireless Networks

被引:124
|
作者
Chen, Gaojie [1 ]
Tian, Zhao [1 ]
Gong, Yu [1 ]
Chen, Zhi [2 ]
Chambers, Jonathon A. [1 ]
机构
[1] Univ Loughborough, Sch Elect Elect & Syst Engn, Adv Signal Proc Grp, Loughborough LE11 3TU, Leics, England
[2] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
Secure wireless communications; cooperative networks; relay selection; secrecy capacity; MULTIPLE-ACCESS; CHANNELS;
D O I
10.1109/TIFS.2014.2307672
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper considers the security of transmission in buffer-aided decode-and-forward cooperative wireless networks. An eavesdropper which can intercept the data transmission from both the source and relay nodes is considered to threaten the security of transmission. Finite size data buffers are assumed to be available at every relay in order to avoid having to select concurrently the best source-to-relay and relay-to-destination links. A new max-ratio relay selection policy is proposed to optimize the secrecy transmission by considering all the possible source-to-relay and relay-to-destination links and selecting the relay having the link which maximizes the signal to eavesdropper channel gain ratio. Two cases are considered in terms of knowledge of the eavesdropper channel strengths: exact and average gains, respectively. Closed-form expressions for the secrecy outage probability for both cases are obtained, which are verified by simulations. The proposed max-ratio relay selection scheme is shown to outperform one based on a max-min-ratio relay scheme.
引用
收藏
页码:719 / 729
页数:11
相关论文
共 50 条
  • [41] Decode-and-Forward Buffer-Aided Relay Selection in Cognitive Relay Networks
    Chen, Gaojie
    Tian, Zhao
    Gong, Yu
    Chambers, Jonathon
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (09) : 4723 - 4728
  • [42] Deep Q-Learning-Based Buffer-Aided Relay Selection for Reliable and Secure Communications in Two-Hop Wireless Relay Networks
    Zhang, Cheng
    Liao, Xuening
    Wu, Zhenqiang
    Qiu, Guoyong
    Chen, Zitong
    Yu, Zhiliang
    [J]. SENSORS, 2023, 23 (10)
  • [43] Link Selection in Buffer-Aided Cooperative Networks for Green IoT
    Deng, Dan
    Xia, Junjuan
    Fan, Liseng
    Li, Xingwang
    [J]. IEEE ACCESS, 2020, 8 : 30763 - 30771
  • [44] Cooperative Secure Communication in Two-Hop Buffer-Aided Networks
    Wang, Dawei
    Ren, Pinyi
    Cheng, Julian
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2018, 66 (03) : 972 - 985
  • [45] Buffer-Aided Relay Selection for Cooperative Diversity Systems without Delay Constraints
    Krikidis, Ioannis
    Charalambous, Themistoklis
    Thompson, John S.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (05) : 1957 - 1967
  • [46] Multi-Agent Reinforcement Learning-Based Buffer-Aided Relay Selection in IRS-Assisted Secure Cooperative Networks
    Huang, Chong
    Chen, Gaojie
    Wong, Kai-Kit
    [J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 16 : 4101 - 4112
  • [47] Modeling Buffer-Aided Relay Selection in Networks With Direct Transmission Capability
    Charalambous, Themistoklis
    Nomikos, Nikolaos
    Krikidis, Ioannis
    Vouyioukas, Demosthenes
    Johansson, Mikael
    [J]. IEEE COMMUNICATIONS LETTERS, 2015, 19 (04) : 649 - 652
  • [48] Buffer-Aided Relay Selection for Cooperative Hybrid NOMA/OMA Networks With Asynchronous Deep Reinforcement Learning
    Huang, Chong
    Chen, Gaojie
    Gong, Yu
    Xu, Peng
    Han, Zhu
    Chambers, Jonathon A.
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (08) : 2514 - 2525
  • [49] A Low-Delay Lyapunov-Based Relay Selection Scheme in Buffer-Aided Cooperative Networks
    Siddig, Ali A.
    Ibrahim, Ahmed S.
    Ismail, Mahmoud H.
    [J]. IEEE COMMUNICATIONS LETTERS, 2024, 28 (02) : 427 - 431
  • [50] Outage-driven link selection for secure buffer-aided networks
    Dawei Wang
    Tianmi He
    Fuhui Zhou
    Julian Cheng
    Ruonan Zhang
    Qihui Wu
    [J]. Science China Information Sciences, 2022, 65