Coding strategies for CDMA packet data networks with reduced rank multiuser detection, ARQ and Packet Combining

B. Mouhouche, Cédric Artigue
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引用次数: 1

Abstract

Reduced-rank code division multiple access (CDMA) multi-user detection has received a lot of attention recently. The output SINR provided by a reduced-rank receiver depends on the filter rank and is confined between the SINRs of the single user matched filter (SUMF) and the minimum mean squared error (MMSE) receiver. In packet CDMA data networks like HSDPA, the measure of performance is the throughput. Thus, previous results on reduced-rank MMSE receivers SINR cannot be used directly. In this paper, we study the throughput of CDMA data networks using reduced-rank MMSE receivers, automatic retransmission request (ARQ) and packet combining. We derive the expression of the system throughput as the function of the filter rank, the coding rate and the number of retransmissions. We present simulation results to highlight the behavior of the maximum throughput as a function of the filter rank and the coding rate. We then conclude on coding strategies to adopt depending on the signal to noise ratio and the receiver rank in order to maximize the system throughput.
基于降阶多用户检测、ARQ和分组合并的CDMA分组数据网络编码策略
近年来,降阶码分多址(CDMA)多用户检测受到了广泛的关注。降阶接收器提供的输出SINR取决于滤波器的等级,并且被限制在单用户匹配滤波器(SUMF)和最小均方误差(MMSE)接收器的SINR之间。在像HSDPA这样的分组CDMA数据网络中,性能的度量是吞吐量。因此,先前关于降阶MMSE接收机SINR的结果不能直接使用。本文研究了采用降阶MMSE接收、自动重传请求(ARQ)和分组合并的CDMA数据网络的吞吐量。我们推导了系统吞吐量作为滤波器等级、编码速率和重传次数的函数表达式。我们给出了仿真结果,以突出最大吞吐量作为滤波器等级和编码速率的函数的行为。然后我们总结了根据信噪比和接收机秩采用的编码策略,以最大限度地提高系统吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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