Throughput Maximization In Multiple Antenna Communication Systems Through Quantized Rate Control

M. Khojastepour, Xiaodong Wang, M. Madihian
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Abstract

In the recent years, we have witnessed an increasing demand for the high data rate wireless communication systems. While most of the research efforts has been focused on the minimization of the packet error probability through an adaptive transmission scheme, the overall optimization of the system throughput is not well addressed. We consider the problem of throughput maximization using a quantized feedback that is an appropriate model for practical systems with limited feedback capacity. We derive the optimal quantized rate control design for general multiple transmit and multiple receive antenna systems. Moreover, an adaptive stochastic gradient search algorithm has been proposed that can efficiently find the optimal solution. It is shown that the proposed quantized rate control design with only a few bits of feedback considerably improves the throughput of a system for a given average power
基于量化速率控制的多天线通信系统吞吐量最大化
近年来,人们对高数据速率无线通信系统的需求日益增长。大多数的研究工作都集中在通过自适应传输方案来最小化数据包错误概率上,而没有很好地解决系统吞吐量的整体优化问题。我们使用量化反馈模型来考虑吞吐量最大化问题,这是一个适合于具有有限反馈能力的实际系统的模型。我们推导了一般多发射多接收天线系统的最优量化速率控制设计。此外,提出了一种自适应随机梯度搜索算法,可以有效地找到最优解。结果表明,在给定的平均功率下,仅采用少量反馈的量化速率控制设计可显著提高系统的吞吐量
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