Journal of Xidian University ›› 2020, Vol. 47 ›› Issue (1): 52-59.doi: 10.19665/j.issn1001-2400.2020.01.008

Previous Articles     Next Articles

Analysis of the performance of energy harvesting cognitive relay networks over κ-μ fading

LUO Yi1,2,SHI Ronghua3(),DONG Jian3,WANG Yuting2   

  1. 1. School of Automation, Central South University, Changsha 410083, China
    2. College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China
    3. School of Computer, Central South University, Changsha 410083, China
  • Received:2019-05-26 Online:2020-02-20 Published:2020-03-19
  • Contact: Ronghua SHI E-mail:shirh@csu.edu.cn

Abstract:

Aiming at the problems of small coverage, short lifetime and diversity link channel attenuation in energy-constrained cognitive relay networks, the outage performance of energy harvesting multi-hop cognitive relay networks over complicated fading channel scenarios are studied. First, the κ-μ distribution is adopted to represent various single and mixed line-of-sight and non-line-of-sight fading channel scenarios. Then the dedicated power beacon assisted energy harvesting underlay multi-hop decode-and-forward cognitive relay networks are constructed. The exact and asymptotic unified outage probability expressions for secondary networks are derived over the κ-μ fading channels. Simulation results show that the secondary outage probability can be monotonically decreased with the increase of the power beacon signal’s power or/and primary networks’ interference constraint until it tends to saturation on the condition of various fading channel scenarios, and the secondary networks’ outage probability can be degraded with the deterioration of the channel link condition when the primary networks’ interference constraint is lower, and the secondary networks’ outage performance can also be increased with the improvement of the channel link condition when the primary networks’ interference constraint is higher. The secondary networks’ outage probability can be decreased by reasonable settings of the hop number and energy harvesting ratio according to the type of fading channel scenarios.

Key words: distribution, fading channels, energy harvesting, cognitive relay networks, outage performance

CLC Number: 

  • TN929.53

Baidu
map