基于改进人工蜂群算法的认知无线电功率控制问题设计与实现

Design and Implementation of Cognitive Radio Power Control Problem Based on Improved Artificial Bee Colony Algorithm

为了提高频谱利用率,本文在下垫式认知无线电网络下提出了主次用户共享功率控制模型。在满足服务质量前提下,本文提出一种基于改进人工蜂群算法。MATLAB仿真结果表明,该算法可以获得最小化次用户发射功率。通过与传统人工蜂群算法比较,其收敛速度更快,获得的发射功率更小,对主用户的干扰更小。

In order to improve the spectrum efficiency, this paper proposes a shared power control model for primary and secondary users in underlying cognitive radio networks. On the premise of satisfying the quality of service, an improved artificial bee colony algorithm is proposed. The simulation results of MATLAB show that the proposed algorithm can minimize the transmission power of secondary users. Compared with the traditional artificial bee colony algorithm, it has faster convergence speed, less transmit power and less interference to the primary user.