多用户空间复用系统的高分辨率信道量化规则

B. Khoshnevis, Wei Yu
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引用次数: 5

摘要

研究了有限反馈多天线多用户信道的最优信道量化码本设计。基站配置M个天线,服务M个单天线用户,用户的总反馈率为b,为方便起见,我们假设真实空间信道;将分析推广到复空间是很简单的。码本优化问题是在用户中断概率约束下使下行平均传输功率最小的问题。本文采用一种信道量化的积码本结构,包括一个均匀(以dB为单位)的信道幅度量化码本和一个空间均匀的信道方向量化码本。我们首先制定了一个鲁棒功率控制问题,该问题在信道量化区域的最坏SINR约束下最小化总功率。通过使用该问题的上界解,我们然后在给定目标中断概率和目标信噪比的情况下优化量化码本。在B→∞渐近区间,信道方向量化比特的最优数为信道幅度量化比特数的M-1倍。进一步表明,具有较高请求QoS(较低的目标中断概率)和较高请求下行速率(较高的目标SINR)的用户应该获得更大的反馈率份额。本文还表明,为了使目标参数可行,总反馈带宽应与目标SINR值的几何平均值γ (γ)和目标中断概率逆的几何平均值1/q (q)成对数比例。此外,如果用户的目标参数偏离平均参数γ和q,则所需的最小反馈率会增加。最后,我们表明,随着B的增加,多用户系统的性能接近于完美信道状态信息系统的性能,因为1 / q * 2增大到- B / M增大到2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High resolution channel quantization rules for multiuser spatial multiplexing systems
This paper addresses the optimal channel quantization codebook design for limited feedback multiple-antenna multiuser channels. The base station is equipped with M antennas and serves M single-antenna users, which share a total feedback rate B. We assume real space channels for convenience; the extension of the analysis to complex space is straightforward. The codebook optimization problem is cast in form of minimizing the average downlink transmission power subject to the users' outage probability constraints. This paper adopts a product codebook structure for channel quantization comprising a uniform (in dB) channel magnitude quantization codebook and a spatially uniform channel direction quantization codebook. We first formulate a robust power control problem that minimizes the sum power subject to the worst-case SINR constraints over the channel quantization regions. By using an upper bound solution to this problem, we then optimize the quantization codebooks given the target outage probabilities and the target SINR's. In the asymptotic regime of B → ∞, the optimal number of channel direction quantization bits is shown to be M-1 times the number of channel magnitude quantization bits. It is further shown that the users with higher requested QoS (lower target outage probabilities) and higher requested downlink rates (higher target SINR's) should receive larger shares of the feedback rate. The paper also shows that, for the target parameters to be feasible, the total feedback bandwidth should scale logarithmically with γ̄, the geometric mean of the target SINR values, and 1/q̄, the geometric mean of the inverse target outage probabilities. Moreover, the minimum required feedback rate increases if the users' target parameters deviate from the average parameters γ̄ and q̄. Finally, we show that, as B increases, the multiuser system performance approaches the performance of the perfect channel state information system as 1 over q̄ times 2 raise to minus B over M raise to 2.
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