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End-to-end throughput aware adaptive channel and route selection for enhancing system throughput in multi-hop radio networks

机译:端到端吞吐量感知自适应信道和路由选择,可增强多跳无线网络中的系统吞吐量

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A distributed power, channel, and route selection scheme for multi-hop radio networks is proposed by extending Multichannel Asynchronous Distributed Pricing (MADP) algorithm, which is a power and channel selection scheme for single-hop radio networks. MADP algorithm achieves suboptimal system throughput in single-hop radio networks, however, since MADP algorithm allocates more resources to links with good quality, there may be a large difference in throughput among communication links. Particularly in multi-hop radio networks, MADP algorithm might not necessarily achieve high system throughput because the link with the lowest throughput limits the end-to-end throughput of a given multi-hop route. In order to achieve high system throughput in multi-hop radio networks, a modification of MADP algorithm named End-to-end Throughput Aware MADP (ETA-MADP) algorithm is proposed. It is proved that all links in a given multi-hop route have the same throughput through the use of ETA-MADP algorithm. Simulation results reveal that the introduction of the proposed algorithm achieves high spectral efficiency in multi-hop radio networks even with lower transmit power compared to that in single-hop radio networks.
机译:通过扩展多信道异步分布式定价(MADP)算法,提出了一种用于多跳无线网络的分布式功率,信道和路由选择方案,该算法是一种用于单跳无线网络的功率和信道选择方案。 MADP算法在单跳无线网络中实现了次优的系统吞吐量,但是,由于MADP算法为高质量的链路分配了更多的资源,因此通信链路之间的吞吐量可能会有很大的差异。特别是在多跳无线网络中,MADP算法可能不一定实现高系统吞吐量,因为具有最低吞吐量的链路限制了给定多跳路由的端到端吞吐量。为了在多跳无线网络中实现较高的系统吞吐量,提出了对MADP算法的一种改进,称为端到端吞吐量感知MADP(ETA-MADP)算法。通过使用ETA-MADP算法,证明了给定多跳路由中的所有链路具有相同的吞吐量。仿真结果表明,与单跳无线网络相比,该算法的引入在多跳无线网络中实现了更高的频谱效率,甚至具有更低的发射功率。

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