On end-to-end performance of variable gain AF relayed cognitive underlay networks

被引:0
|
作者
Sharma A. [1 ]
Ahuja S. [1 ]
Uddin M. [2 ]
机构
[1] Department of Electrical, Electronics and Communication Engineering, The Northcap University, Gurugram
[2] Department of Computer Science Engineering, Apeejay University, Gurugram
来源
Australian Journal of Electrical and Electronics Engineering | 2019年 / 16卷 / 04期
关键词
Amplify and forward relays; cognitive radio networks; extended generalised K distribution; Fox H-Function; interference temperature; underlay systems;
D O I
10.1080/1448837X.2019.1661811
中图分类号
学科分类号
摘要
The objective of this work is to analyse the performance of an underlay cognitive radio network which incorporates a variable-gain amplify-and-forward relay to enhance its performance. The system is based on extended generalised-K fading distribution and works under the constraint of interference temperature. As a result, the secondary source and the relay transmit powers will be curbed to avoid secondary signal interfering with the primary transmission when both the networks communicate simultaneously. This is the basic principle of an underlay system where both primary and secondary networks are active at the same time. The influence of fading and shadowing on the different radio links of the system is also taken into account. The analysis begins with finding the end-to-end signal-to-noise-ratio and then derives its cumulative distribution function and moment generating functions. This is followed by the derivation of the analytic closed form expressions for the outage probability, the channel capacity and the error probability of the dual-hop AF relayed underlay cognitive radio network. Numerical plots following the mathematical analysis illustrate the effects of various parameters on the system performance under the constraints of interference temperature and the secondary transmit powers. © 2019, © 2019 Engineers Australia.
引用
收藏
页码:305 / 318
页数:13
相关论文
共 50 条
  • [1] End-to-end performance of Hybrid DF/AF (HDAF) relayed underlay cognitive radio networks
    Sharma, Anita
    Aggarwal, Mona
    Ahuja, Swaran
    Moin-Uddin
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2020, 116
  • [2] On End-to-End Performance of MIMO Multiuser in Cognitive Radio Networks
    Yang, Yuli
    Aissa, Sonia
    2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [3] Cognitive networks: Adaptation and learning to achieve end-to-end performance objectives
    Thomas, Ryan W.
    Friend, Daniel H.
    DaSilva, Luiz A.
    MacKenzie, Allen B.
    IEEE COMMUNICATIONS MAGAZINE, 2006, 44 (12) : 51 - 57
  • [4] End-to-End HARQ in Cognitive Radio Networks
    Ao, Weng-Chon
    Chen, Kwang-Cheng
    2010 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC 2010), 2010,
  • [5] End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks With RF Energy Harvesting
    Xu, Chi
    Zheng, Meng
    Liang, Wei
    Yu, Haibin
    Liang, Ying-Chang
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (06) : 3561 - 3572
  • [6] Performance analysis of end-to-end SNR estimators for AF relaying
    Yulin Zhou
    Yunfei Chen
    Telecommunication Systems, 2018, 67 : 269 - 280
  • [7] Performance analysis of end-to-end SNR estimators for AF relaying
    Zhou, Yulin
    Chen, Yunfei
    TELECOMMUNICATION SYSTEMS, 2018, 67 (02) : 269 - 280
  • [8] End-to-End Optimization for Tactical Cognitive Radio Networks
    Couturier, Stefan
    Krygier, Jaroslaw
    Tuukkanen, Topi
    Braysy, Timo
    Le Nir, Vincent
    Verheul, Erik
    Buchin, Boyd
    Smit, Niels
    2018 INTERNATIONAL CONFERENCE ON MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS (ICMCIS), 2018,
  • [9] End-to-end architecture for cognitive reconfigurable wireless networks
    Boufidis, Zachos
    Alonistioti, Nancy
    Feuillette, Remi
    Holland, Oliver
    Pan, Jianming
    Moessner, Klaus
    2007 PROCEEDINGS OF THE 16TH IST MOBILE AND WIRELESS COMMUNICATIONS, VOLS 1-3, 2007, : 592 - +
  • [10] Opportunistic Networks: end-to-end performance analysis)
    Santos, Rodrigo
    Orozco, Javier
    2011 BRAZILIAN SYMPOSIUM ON COMPUTING SYSTEM ENGINEERING (SBESC), 2011, : 90 - 92