出发角辅助的机会空间分割多址

G. Dahman, R. Hafez
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引用次数: 7

摘要

本文介绍了一种新的多输入多输出(MIMO)广播定向信道传输技术。在训练期间,基站发送一组相互正交的信号,使每个用户能够估计预期最强波束的出发角和相应的信噪比。然后,基站使用报告的偏离角和信噪比选择一个子用户组进行数据传输,从而使总容量最大化。与带波束选择的机会性空分多址算法相比[12],该算法的优点是在相同的反馈比特数下,在低到中等数量的用户下,提供高达95%的吞吐量增益。除了我们提出的新算法之外,我们还引入了一种改进版本的带有波束选择的机会空分多址算法,当使用诸如WINNER的定向信道模型进行评估时,该算法显示出显着的吞吐量改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Angle-of-Departure-Aided Opportunistic Space-Division Multiple Access
In this paper, a novel transmission technique for the multiple-input multiple-output (MIMO) broadcasting directional channels is introduced. During the training period, the base station sends a set of mutually orthogonal signals which enables each user to estimate the angle-of-departure of the anticipated strongest beam and the corresponding SNR. Then, the base station uses the reported angles-of-departure and SNRs to select a subgroup of users for data transmission in such a way that the sum capacity is maximized. Compared to the opportunistic space-division multiple access with beam selection algorithm [12], the advantage of the proposed algorithm is that it provides throughput gains up to 95% with low to medium number of users, under the same number of feedback bits. In addition to our new proposed algorithm, we introduce a modified version of the opportunistic space-division multiple access with beam selection algorithm, which shows a significant throughput improvement when evaluated using directional channel models such as WINNER.
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