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Outage Probability of Cognitive Selective DF Relay Networks with Multiple Primary Nodes and Heterogenous Non-Identical Constraints
发表时间:2019-03-12 点击次数:
论文类型: 期刊论文
第一作者: Gao, Zhenguo
通讯作者: 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.
合写作者: Chen, Danjie,Yao, Nianmin,Lu, Zhimao,Chen, Bingcai,Tan, Guozhen
发表时间: 2017-02-01
发表刊物: WIRELESS PERSONAL COMMUNICATIONS
收录刊物: EI、SCIE
文献类型: J
卷号: 92
期号: 3
页面范围: 969-992
ISSN号: 0929-6212
关键字: Outage probability; Cognitive selective DF relay networks; Multiple primary nodes; Maximum transmission power limits
摘要: 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.
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