Indexed by:
期刊论文
First Author:
Gao, Zhenguo
Correspondence Author:
Gao, ZG; Tan, GZ (reprint author), Dalian Univ Technol, Coll Comp Sci, Dalian, Peoples R China.; Chen, DJ (reprint author), Beijing Univ Technol, Coll Software, Beijing, Peoples R China.
Co-author:
Chen, Danjie,Yao, Nianmin,Lu, Zhimao,Chen, Bingcai,Tan, Guozhen
Date of Publication:
2017-02-01
Journal:
WIRELESS PERSONAL COMMUNICATIONS
Included Journals:
EI、SCIE
Document Type:
J
Volume:
92
Issue:
3
Page Number:
969-992
ISSN No.:
0929-6212
Key Words:
Outage probability; Cognitive selective DF relay networks; Multiple
primary nodes; Maximum transmission power limits
Abstract:
Outage probability analysis of cognitive selective DF relay networks with selection combining technique taking into account all the following issues is important: multiple SU relays, multiple PUs, non-identical independent Rayleigh fading channels, non-identical interference power limits of PUs, non-identical maximum transmission power limits of SUs, and non-identical noise powers in signals. However, no existing works solve this task exactly. In this paper, to overcome the complexity in analyzing such non-identical-parameter networks directly, we conduct the analysis in two steps indirectly. In the first step, we obtain outage probability expressions of identical-parameter networks. Then in the second step, we propose a method for transforming a non-identical-parameter network into a new identical-parameter network, meanwhile guaranteeing that the distributions of end-to-end signal to noise ratio of the two networks before and after the transformation are identical. Thus the outage probability of the identical-parameter network can be regarded as outage probability of the corresponding non-identical-parameter network. Numerical simulations validate our analysis results and confirm the feasibility of the two-step indirect analysis approach.
Translation or Not:
no
