Outage probability analysis of energy harvesting cognitive cooperative relay networks with direct link

被引:0
作者
Luo Y. [1 ,2 ]
Shi R. [1 ]
Dong J. [1 ]
Tang K. [1 ]
Wang Y. [2 ]
机构
[1] School of Information Science and Engineering, Central South University, Changsha
[2] College of Information Science and Engineering, Hunan Normal University, Changsha
来源
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2019年 / 50卷 / 08期
基金
中国国家自然科学基金;
关键词
Cognitive cooperative relay networks; Direct link; Energy harvesting; Hardware impairments; Outage probability;
D O I
10.11817/j.issn.1672-7207.2019.08.013
中图分类号
学科分类号
摘要
Aiming at the problem of short lifetime and high outage probability of energy-constrained cognitive relay networks, a cognitive cooperative relay networks with multiple primary receivers, multiple secondary destination nodes, direct link and power-beacon(PB) assisted energy harvesting was proposed. The exact and asymptotic outage probabilities of secondary networks for Rayleigh block fading channel were derived by adopting the opportunistic relay selection strategy and selection combining scheme. All the analytical results were validated by Monte Carlo simulation. The results show that with the increase of the primary receivers' interference constraint or PB's transmission power, the outage probability monotonically decreases until saturation is reached. The outage probability increases with the increase of secondary nodes' hardware impairments level, the number of primary receivers and end-to-end channel capacity of secondary networks. The outage probability reduces with the increase in the number of relays and secondary destination nodes. Appropriate setting of energy harvesting ratio can effectively reduce the outage probability. © 2019, Central South University Press. All right reserved.
引用
收藏
页码:1857 / 1865
页数:8
相关论文
共 20 条
  • [1] Liu Y., Mousavifar S.A., Deng Y., Et al., Wireless energy harvesting in a cognitive relay network, IEEE Transactions on Wireless Communications, 15, 4, pp. 2498-2508, (2016)
  • [2] Nguyen T.T., Pham N.M., Do D.T., Wireless powered underlay cognitive radio network with multiple primary transceivers: energy constraint, node arrangement, and performance analysis, International Journal of Communication Systems, 30, 18, (2017)
  • [3] Nguyen D.K., Jayakody D.N.K., Chatzinotas S., Et al., Wireless energy harvesting assisted two-way cognitive relay networks: protocol design and performance analysis, IEEE Access, 5, pp. 21447-21460, (2017)
  • [4] Yan Z., Chen S., Zhang X., Et al., Outage performance analysis of wireless energy harvesting relay-assisted random underlay cognitive networks, IEEE Internet of Things Journal, 5, 4, pp. 2691-2699, (2018)
  • [5] Huang K., Lau V.K.N., Enabling wireless power transfer in cellular networks: architecture, modeling and deployment, IEEE Transactions on Wireless Communications, 13, 2, pp. 902-912, (2014)
  • [6] Mondal S., Dhar Roy S., Kundu S., Primary behaviour-based energy harvesting multihop cognitive radio network, IET Communications, 11, 16, pp. 2466-2475, (2017)
  • [7] Poornima S., Babu A.V., Performance analysis of energy harvesting cognitive relay networks with primary interference, Telecommunication Systems, 68, 3, pp. 445-459, (2018)
  • [8] Le N.P., Outage probability analysis in power-beacon assisted energy harvesting cognitive relay wireless networks, Wireless Communications and Mobile Computing, 2017, pp. 1-15, (2017)
  • [9] Wu Q., Zhang Z., Wang J., Outage analysis of cognitive relay networks with relay selection under imperfect CSI environment, IEEE Communications Letters, 17, 7, pp. 1297-1300, (2013)
  • [10] Huang H., Guan L., Li Z., Et al., Underlay cognitive relay networks with imperfect channel state information and multiple primary receivers, IET Communications, 9, 4, pp. 460-467, (2015)