多天线无线网络中多请求的高效数据检索算法

Ping He, Zheng Huo
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引用次数: 0

摘要

对于客户端发送的一组多个请求,其中每个请求包含多个数据项,多天线数据检索问题是指找到一种访问模式(使用多个天线检索多个请求),使每个天线的访问延迟最小,并且所有天线的总访问延迟保持平衡。这个问题在移动计算应用中有很大的价值。虽然研究大多集中在单个天线客户端发送单个请求和多个请求时的数据检索问题上,但对于多个天线客户端发送多个请求时的数据检索问题的研究很少。因此,本文提出了两种算法,采用SG和WG两种不同的分组方案,使请求能够被每个天线合理地检索到。为了检索每个请求,我们提出了一种算法,该算法将无线数据广播系统转换为一个超级树,以便在最小的访问延迟中找到一个访问模式来下载所有请求的数据项。实验结果表明,该方案是目前现有方案中效率最高的。
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Efficient Data Retrieval Algorithm for Multi-Request in Multi-Antenna Wireless Networks
Given a set of multiple requests sent by clients, where each request contains multiple data items, multi-antenna data retrieval problem refers that finds an access pattern (to retrieve multiple requests by using multiple antennae) such that the access latency of each antenna is minimized and the total access latency in all antennae keeps balance. The problem has great value in mobile computing applications. Although almost researches have focused on data retrieval problem when the clients equipped with one antenna send single request and multiple requests, there are few studies on data retrieval problem with multiple requests sent by clients equipped with multiple antennae. Therefore, this paper proposes two algorithms that adopt two different grouping schemes (SG and WG) such that the requests can be reasonably retrieved by each antenna. For retrieving each request, we propose an algorithm that converts wireless data broadcast system to a super tree for finding an access pattern to download all requested data items in minimal access latency. Through experiments, the proposed scheme has currently most efficiency in existing schemes.
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