amplify-and-forward (AF ) 基于多继电器网络被学习。为了与要求的传播率,联合力量分配(PA ) 和多继电器选择计划最小化系统停止概率,在全部、单个的力量限制(TIPC ) 下面被建议。在建议计划,没有失去许多系统性能,订的想法被采用避免彻底的搜索。除隧道数量以外,在这篇文章建议的订的算法也考虑继电器的最大的产量能力,它通常在订算法的传统的接力赛被忽略。另外,简单力量重新分配方法被提供在寻找所有可能的继电器子集的过程期间避免重复 PA 操作。由采用订并且使用建议力量重新分配方法的想法导致计算复杂性的显著减少,使计划更容易、更可行在实际通讯情形实现。模拟证明建议多继电器选择计划与最佳的计划相比向类似的性能提供最佳的 PA 和彻底的搜索(OPAES ) ,但是与许多更低的复杂性。
An amplify-and-forward (AF) based multi-relay network is studied. In order to minimize the system outage probability with a required transmission rate, a joint power allocation (PA) and multi-relay selection scheme is proposed under both total and individual power constraints (TIPC). In the proposed scheme, the idea of ordering is adopted to avoid exhaustive search without losing much system performance. Besides the channel quantity, the ordering algorithm proposed in this article also takes relays' maximal output ability into consideration, which is usually ignored in traditional relay ordering algorithms. In addition, simple power reallocation method is provided to avoid repetitive PA operation during the process of searching all possible relay subsets. By Adopting the idea of ordering and using the proposed power reallocation method lead to remarkable decrease of the computation complexity, making the scheme easier and more feasible to implement in practical communication scenarios. Simulations show that the proposed multi-relay selection scheme provides similar performance compared to the optimal scheme with optimal PA and exhaustive search (OPAES) but with much lower complexity.