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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-DO的反向链路吞吐量

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摘要

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 lxEV-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-specified set of (up and down) probabilities. The set of probabilities specified by the standard is independent of the number of active mobile stations.rnIn 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：处理当前蜂窝市场最近提供的新服务（例如数据传输，视频流和Internet访问）的容量需求已导致无线技术的新时代。 cdma2000标准被认为是对高速无线分组数据传输不断增长的需求的解决方案。 cdma2000 lxEV-DO标准在反向链路上具有分布式速率控制，其中，移动站响应基站广播的反向活动性比特和预先指定的一组（上行）来确定下一帧的数据速率。及以下）的概率。该标准规定的概率集与活动移动台的数量无关。在本文中，我们表明，根据基站知道的基于活动移动台的数量来更改此概率集将改善反向链路吞吐量。特别是，我们使用粒子群优化技术来确定最佳概率集，这些最佳概率集可在满足热约束上升的同时最大化系统吞吐量。我们通过仿真验证了我们提出的方法。我们还导出了反向链路吞吐量的分析上限，并比较了所提出方法的吞吐量与该上限。

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