认知中继网络功率分配的优化算法

Adaptive Power Allocation for Cognitive Radio Relay Network

本文研究了认知中继网络的功率分配策略。在基于AF(amplify-and-forward)和DF(decode-and-forward)中继模式下,考虑认知用户传输功率受限以及主用户干扰容限等因素,建立了认知中继网络吞吐量的非凸函数和凸函数优化模型;并利用拉格朗日乘子得到最优解。仿真结果表明,所提算法在认知用户传输功率受限以及主用户干扰容限下优化了认知中继网络的吞吐量。

In this paper,an adaptive power allocation algorithm is investigated to maximize cognitive radio relay network capacity in a cooperative relay scheme.Combination of transmission power constraint and interference constraint is considered to optimize cognitive radio relay network capacity in AF（amplify-and-forward） and DF（decode-and-forward） relay schemes.By non-convex and convex optimization method,optimal power solution can be derived.Simulation results show that optimal power allocation algorithm proposed maximize cognitive radio relay network capacity.