Effective Secrecy Capacity for RIS-Assisted NOMA Communication Networks

被引:2
|
作者
Liu, Huiling [1 ]
Luo, Junshan [1 ,2 ]
Wang, Shilian [1 ]
Ding, Haiyang [3 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci & Technol, Changsha 410073, Peoples R China
[2] Natl Univ Def Technol, Sixty Res Inst 3, Nanjing 210007, Peoples R China
[3] Natl Univ Def Technol, Coll Informat & Commun, Wuhan 430035, Peoples R China
基金
中国博士后科学基金;
关键词
NOMA; Signal to noise ratio; Delays; Quality of service; Security; Resource management; Downlink; Effective secrecy capacity; non-orthogonal multiple access; reconfigurable intelligent surface;
D O I
10.1109/TVT.2024.3456903
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) are pivotal technologies for achieving the dual objectives of high spectral efficiency and low power consumption in the future of wireless communications. In this paper, we investigate the effective secrecy capacity (ESC) of the RIS-assisted NOMA network subject to delay constraint. The ESC serves as a crucial metric for evaluating the influence of delay on the performance of secure communication. Specifically, we consider a multi-user downlink RIS-NOMA network that includes an internal eavesdropper and provide an analytical framework for the ESC. In the special case with two users, both the accurate expression and the high signal-to-noise ratio (SNR) asymptotic expression of the ESC are derived. The analytical results are corroborated by simulations, leading to several insightful conclusions: 1) the ESC tends to be a constant value in the high SNR region; 2) the RIS-NOMA network achieves higher ESC than the RIS-orthogonal multiple access counterpart; 3) strict latency constraints lead to smaller ESC, while more lenient constraints allow for greater ESC; 4) increasing the power allocation coefficient of the user and the number of RIS elements improves the ESC.
引用
收藏
页码:1379 / 1384
页数:6
相关论文
共 50 条
  • [21] Deep Reinforcement Learning for Secrecy Energy Efficiency Maximization in RIS-Assisted Networks
    Zhang, Yichi
    Lu, Yang
    Zhang, Ruichen
    Ai, Bo
    Niyato, Dusit
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (09) : 12413 - 12418
  • [22] Secrecy Performance of RIS Aided NOMA Networks
    Pei, Yingjie
    Yue, Xinwei
    Yi, Wenqiang
    Liu, Yuanwei
    Li, Xuehua
    Ding, Zhiguo
    2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), 2022,
  • [23] Improving Computing Capability for Active RIS-Assisted NOMA-MEC Networks
    Li, Yizhi
    Zou, Yulong
    Hui, Hao
    Zhu, Jia
    Ning, Boyu
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (04) : 939 - 943
  • [24] AI Empowered RIS-Assisted NOMA Networks: Deep Learning or Reinforcement Learning?
    Zhong, Ruikang
    Liu, Yuanwei
    Mu, Xidong
    Chen, Yue
    Song, Lingyang
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (01) : 182 - 196
  • [25] Error Performance of RIS-Assisted NOMA Networks with Imperfect Channel State Information
    Cao, G.
    Li, M.
    Yuan, H.
    Chen, W.
    Li, L.
    Raouf, A.
    2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING, 2023,
  • [26] Power Minimization for Uplink RIS-Assisted CoMP-NOMA Networks With GSIC
    Wang, Hong
    Liu, Chen
    Shi, Zheng
    Fu, Yaru
    Song, Rongfang
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (07) : 4559 - 4573
  • [27] Multiple RIS-Assisted Cooperative NOMA with User Selection
    Samy, Mostafa
    Al-Hraishawi, Hayder
    Kisseleff, Steven
    Chatzinotas, Symeon
    Otteresten, Bjorn
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 1405 - 1410
  • [28] Backscatter-Enabled RIS-Assisted NOMA ISAC
    Nassar, Faraz
    Singh, Keshav
    Prakriya, Shankar
    Singh, Sandeep Kumar
    Li, Chih-Peng
    Ding, Zhiguo
    2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2024, 2024, : 117 - 122
  • [29] Energy-Efficient Optimization Scheme for RIS-Assisted Communication Underlaying UAV with NOMA
    Budhiraja, Ishan
    Vishnoi, Vineet
    Kumar, Neeraj
    Garg, Deepak
    Tyagi, Sudhanshu
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022,
  • [30] Jammer Mitigation in Absorptive RIS-Assisted Uplink NOMA
    Tabeshnezhad, Azadeh
    Zhu, Yuqing
    Vilenskiy, Artem
    Nguyen, Van Ly
    Swindlehurst, Arnold Lee
    Svensson, Tommy
    arXiv,