Energy-efficient power allocation for multi-user single-AF-relay underlay cognitive radio networks

被引:10
|
作者
Wang, Shiguo [1 ]
Ruby, Rukhsana [2 ]
Leung, Victor C. M. [3 ]
Yao, Zhiqiang [1 ]
机构
[1] Xiangtan Univ, Lab Intelligent Comp & Informat Proc, Minist Educ, Xiangtan 411105, Peoples R China
[2] Univ British Columbia, Elect Comp Engn Dept, Vancouver, BC V5Z 1M9, Canada
[3] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada
基金
中国国家自然科学基金;
关键词
Cognitive radio cooperative communication (CRCC); Optimal power allocation; Multi-user single-relay; Amplify-and-forward (AF); USER COOPERATION DIVERSITY; SPECTRUM-SHARING SYSTEMS; PERFORMANCE ANALYSIS; RESOURCE-ALLOCATION; WIRELESS NETWORKS; SELECTION; MINIMIZATION; ACCESS; SCHEME;
D O I
10.1016/j.comnet.2016.04.007
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In underlay relay-based cognitive radio networks, when the interference imposed on primary users is below some pre-determined threshold, secondary users can use the licensed spectrum although it is occupied by primary users. Hence, energy-efficient power allocation among secondary users and cognitive relay is one of the key techniques to utilize this new network paradigm effectively as power is the key component of the interference imposed on primary users. In this paper, for cognitive radio cooperative communication (CRCC) networks where multiple secondary users share a common cognitive relay with amplify-and-forward (AF) mode, we propose an optimal power allocation strategy with the objective to minimize the sum-power consumption of the system. In addition to the constraints that restrict the interference on the primary users within pre-determined threshold, the formulated problem has constraints to ensure the minimum SNR achieved by secondary users and the cognitive relay has a total power constraint. From the inner understanding of the problem, we simplify the formulation. In order to transform the problem to a search problem of finding equilibrium points of power allocation, a theorem is proposed which provides the condition for sum-system-power minimization state. Consequently, an algorithm with linear time complexity is developed based on that theorem. Extensive simulation has been conducted under different system setups to justify the effectiveness and efficacy of our power allocation strategy comparing with other methods usually adopted to solve this type of problem. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:115 / 128
页数:14
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