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Efficient Data Retrieval Algorithm for Multi-Request in Multi-Antenna Wireless Networks

机译:多天线无线网络中用于多请求的高效数据检索算法

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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.
机译:给定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指的是找到一种访问模式(以使用多个天线来检索多个请求),从而使每个天线的访问等待时间最小化并且所有天线的总访问延迟保持平衡。该问题在移动计算应用中具有重要价值。虽然几乎所有的研究都集中在配备一个天线的客户发送单个请求和多个请求时的数据检索问题,但是关于配备多个天线的客户发送的多个请求的数据检索问题的研究很少。因此,本文提出了两种采用两种不同分组方案(SG和WG)的算法,以便每个天线都可以合理地检索请求。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超级树,以查找访问模式以最小的访问延迟下载所有请求的数据项。通过实验,提出的方案目前在现有方案中效率最高。

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