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Improved particle swarm optimization algorithm based cross-layer power allocation scheme in distributed antenna systems

机译:分布式天线系统中基于粒子群优化算法的跨层功率分配方案

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A cross-layer power allocation scheme for distributed antenna systems is proposed in this paper. From a cross-layer perspective, system throughput coefficient and fairness coefficient are defined taking into consideration both queue state information in data-link layer and channel state information in physical layer. Particularly, an improved particle swarm based optimization algorithm is proposed to solve the proposed optimization problem. Simulation results show that improved particle swarm optimization algorithm can obtain lower queue delay. System throughput and fairness performance obtained by the proposed algorithm increase considerably compared with those by fixed power allocation algorithm.
机译:提出了一种分布式天线系统跨层功率分配方案。从跨层的角度来看,系统吞吐系数和公平系数的定义要同时考虑数据链路层的队列状态信息和物理层的信道状态信息。特别地,提出了一种改进的基于粒子群的优化算法来解决所提出的优化问题。仿真结果表明,改进的粒子群优化算法可以获得较低的排队时延。与固定功率分配算法相比,该算法所获得的系统吞吐量和公平性能有较大提高。

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