首页> 外文会议>IEEE International Conference on Communications >Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays
【24h】

Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays

机译:使用多个AF两路中继的MIMO认知网络的PSO算法近乎最佳功率分配

获取原文

摘要

In this paper, the problem of power allocation for a multiple-input multiple-output two-way system is investigated in underlay Cognitive Radio (CR) set-up. In the CR underlay mode, secondary users are allowed to exploit the spectrum allocated to primary users in an opportunistic manner by respecting a tolerated temperature limit. The secondary networks employ an amplify-and-forward two-way relaying technique in order to maximize the sum rate under power budget and interference constraints. In this context, we formulate an optimization problem that is solved in two steps. First, we derive a closed-form expression of the optimal power allocated to terminals. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the power allocated to secondary relays. Simulation results demonstrate the efficiency of the proposed solution and analyze the impact of some system parameters on the achieved performance.
机译:本文在底层认知无线电(CR)设置中研究了多输入多输出双向系统的功率分配问题。在CR参考底图模式下,允许次要用户通过遵守允许的温度限制,以机会主义的方式利用分配给主要用户的频谱。次级网络采用放大转发双向中继技术,以在功率预算和干扰约束下最大化总速率。在这种情况下,我们制定了一个优化问题,该问题可以分两步解决。首先,我们得出分配给终端的最佳功率的闭式表达式。然后,我们采用了一种基于粒子群优化算法的强大优化工具来查找分配给次级继电器的功率。仿真结果证明了所提解决方案的有效性,并分析了一些系统参数对所获得性能的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号