Fine-Grained Analysis on Downlink LEO Satellite-Terrestrial mmWave Relay Networks

被引:10
|
作者
Lin, Hongxin [1 ,2 ]
Zhang, Cheng [1 ,2 ]
Huang, Yongming [1 ,2 ]
Zhao, Rui [3 ]
Yang, Luxi [1 ,2 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Pervas Commun Ctr, Purple Mt Labs, Nanjing 211111, Peoples R China
[3] Huaqiao Univ, Dept Commun, Xiamen 361021, Peoples R China
基金
中国国家自然科学基金;
关键词
LEO satellite communication; stochastic geometry; meta distribution; millimeter-wave; decode-and-forward relay; TRANSMISSION; COVERAGE;
D O I
10.1109/LWC.2021.3084626
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter investigates the downlink integrated low earth orbit (LEO) satellite-terrestrial millimeter-wave decode-and-forward relay network, where the satellite and terrestrial relays locate in uniform distribution over the spherical cap surface of the LEO and in Poisson point process over the ground, respectively. In order to obtain fine-grained information on the coverage performance, the meta distribution (MD) of signal-to-interference-to-noise ratio (SINR) is adopted for network performance evaluation, which provides the probability that certain percentage of satellite-relays-user links are able to reach a target SINR threshold. The closed-form and analytical expression of the b-th moments of the complementary cumulative distribution functions (CCDFs) of SINR for the satellite-to-relay link and relay-to-user link are then derived, respectively. In addition, we further give the analytical MD expression via the beta approximation. Finally, numerical results are provided to validate our analytical results.
引用
收藏
页码:1871 / 1875
页数:5
相关论文
共 50 条
  • [1] Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks
    Yang, Le
    Li, Xiao
    Jin, Shi
    Matthaiou, Michail
    Zheng, Fu-Chun
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (09) : 6277 - 6294
  • [2] Performance Analysis of NOMA-Based Hybrid Satellite-Terrestrial Relay System Using mmWave Technology
    Nguyen, Nhat-Tien
    Nguyen, Hong-Nhu
    Nguyen, Ngoc-Long
    Le, Anh-Tu
    Nguyen, Tan N. N.
    Voznak, Miroslav
    IEEE ACCESS, 2023, 11 : 10696 - 10707
  • [3] Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks
    Yang, Le
    Li, Xiao
    Jin, Shi
    Matthaiout, Michail
    Zheng, Fu-Chun
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [4] Secrecy Outage Analysis for Satellite-Terrestrial Downlink Transmissions
    Zhang, Yongqiang
    Ye, Jia
    Pan, Gaofeng
    Alouini, Mohamed-Slim
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (10) : 1643 - 1647
  • [5] Joint Beamforming for Integrated Mmwave Satellite-Terrestrial Self-Backhauled Networks
    Wang, Qingming
    Zhang, Hua
    Wang, Jun-Bo
    Yang, Fan
    Li, Geoffrey Ye
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) : 9103 - 9117
  • [6] A Fine-Grained Analysis of Millimeter-Wave Device-to-Device Networks
    Deng, Na
    Haenggi, Martin
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2017, 65 (11) : 4940 - 4954
  • [7] Ergodic Secrecy Capacity Analysis of Multiuser Hybrid Satellite-Terrestrial Relay Networks with Multiple Eavesdroppers
    Bankey, Vinay
    Upadhyuy, Prubhat K.
    2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2019,
  • [8] Physical Layer Security of Multiuser Multirelay Hybrid Satellite-Terrestrial Relay Networks
    Bankey, Vinay
    Upadhyay, Prabhat K.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) : 2488 - 2501
  • [9] Secrecy performance of hybrid satellite-terrestrial relay networks in the presence of multiple eavesdroppers
    Huang, Qingquan
    Lin, Min
    An, Kang
    Ouyang, Jian
    Zhu, Wei-Ping
    IET COMMUNICATIONS, 2018, 12 (01) : 26 - 34
  • [10] On the Performance of Cognitive Satellite-Terrestrial Networks
    Kolawole, Oluwatayo Y.
    Vuppala, Satyanarayana
    Sellathurai, Mathini
    Ratnarajah, Tharmalingam
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2017, 3 (04) : 668 - 683