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Maximizing the Reverse Link Throughput for CDMA2000 1XEV-DO using Particle Swarm Optimization

机译:使用粒子群优化最大化CDMA2000 1xev的反向链路吞吐量

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The capacity demands to handle the new services re cently offered by the current cellular market, such as data transmissions, video streaming, and Internet access, have led to a new era of wireless technologies. cdma2000 stan dards are considered to be the solution for the ever-growing demand of high-speed wireless packet data transmission. cdma2000 1xEV-DO standard has a distributed rate control on the reverse link in which the mobile station determines the data rate of the next frame in response to a reverse ac tivity bit broadcast by the base station and a pre-speci?ed set of (up and down) probabilities. The set of probabilities speci?ed by the standard is independent of the number of active mobile stations. In this paper we show that changing this set of prob abilities based on the number of active mobile stations, which is known by the base station, would improve the re verse link throughput. In particular, we use use the parti cle swarm optimization technique to determine the optimal sets of probabilities that maximizes the system throughput while satisfying the rise over thermal constraints. We vali date our proposed approach by simulation. We also derive an analytical upper bound on the reverse link throughput and compare the throughput of the proposed approach with this bound.
机译:处理当前蜂窝市场提供的新服务的能力要求,如数据传输,视频流和互联网接入,导致了新的无线技术时代。 CDMA2000 STAN DARD被认为是越来越多的高速无线数据包数据传输需求的解决方案。 CDMA2000 1XEV-DO标准在反向链路上具有分布式速率控制,其中移动台响应于基站的反向AC Tity比特和预先绘制的集合()确定下一帧的数据速率上下)概率。标准由标准的概率集合的概率与主动移动站的数量无关。在本文中,我们示出了基于基于基站已知的主动移动台的数量改变这组概率能力,将改善RE VEST链路吞吐量。特别是,我们使用Parti CLE Swarm优化技术来确定最佳概率集,可以在满足热约束上升的同时最大化系统吞吐量。我们利维日期通过模拟日期拟议的方法。我们还在反向链路吞吐量上得出了一个分析的上限,并比较了所界限的提出方法的吞吐量。

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