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Successive Optimization Transmission for High and Low SNR Stations in Wireless LAN Systems

机译：无线局域网系统中高和低SNR站的连续优化传输

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摘要

Multiuser (MU) - multiple input multiple output (MIMO) techniques are attractive for increasing the downlink spectrum efficiency while requiring few antennas at each user station (STA). As practical precoding methods for multi-user MIMO systems, block diagonalization (BD) and successive optimization (SO) algorithms have been investigated using the metric of channel capacity. However, the throughput of SO algorithms has not been evaluated for wireless LAN systems. This paper focuses on the two-STA scenario where a close STA lies in the very near field of the access point (AP) while the distant STA lies farther from the AP; it proposes MU-MIMO transmission based on an SO algorithm that uses only the channel state information (CSI) of the close STA. The proposed method determines the transmission weight for the distant STA so as to nullify the close STA and reduces the inter-user interference at the distant STA by decreasing the transmission power for the close STA. Thus, the distant STA does not have to implement the CSI feedback function. Simulations compare zero forcing (ZF), BD, and proposed SO algorithms and confirm the conditions wherein the proposed method outperforms single user MIMO and multiuser MIMO based on ZF and BD algorithms.
机译：多用户（MU）-多输入多输出（MIMO）技术对于提高下行链路频谱效率很有吸引力，同时每个用户站（STA）所需的天线很少。作为用于多用户MIMO系统的实用预编码方法，已经使用信道容量度量研究了块对角化（BD）和连续优化（SO）算法。但是，尚未针对无线LAN系统评估SO算法的吞吐量。本文着重介绍两STA场景，其中靠近STA的位置位于接入点（AP）的非常近的区域，而远离STA的位置离AP较远；它提出了一种基于SO算法的MU-MIMO传输，该算法仅使用邻近STA的信道状态信息（CSI）。所提出的方法确定用于远端STA的传输权重，以使关闭STA无效，并通过减小用于关闭STA的传输功率来减少在远端STA处的用户间干扰。因此，遥远的STA不必实现CSI反馈功能。仿真比较了零强迫（ZF），BD和提出的SO算法，并确认了提出的方法优于基于ZF和BD算法的单用户MIMO和多用户MIMO的条件。

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