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Applying Antenna Selection in WLANs for Achieving Broadband Multimedia Communications

机译：在WLAN中应用天线选择以实现宽带多媒体通信

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摘要

A combination of orthogonal frequency division multiplexing (OFDM) and Multiple-input-multiple-output (MIMO) systems appears to be a promising solution for the PHY layer of indoor multimedia transmission via wireless Local Area Networks (WLANs). Antenna selection is an excellent way of reducing the hardware costs of MIMO-OFDM systems while retaining high performance. This paper addresses two major practical concerns for the application of antenna selection: antenna selection training protocol design, and calibration to solve RF imbalance. We present novel solutions that are especially suitable for slowly time-varying environments, e.g., indoor scenarios, sports stadiums, and shopping malls. Specifically, a low Doppler spread associated with such environments enables us to train all antenna subsets by multiple training packets transmitted in burst; consequently antenna selection techniques can be accommodated in the emerging standards with minimum modifications. In order to deal with RF imbalance, we propose a novel calibration procedure that reduces the performance degradations. Both numerical and analytical approaches are used to verify the effectiveness of the proposed solutions, which make antenna selection more easily adaptable for high-throughput WLAN systems. Our solutions have been accommodated in the current draft of the IEEE 802.11n standard for high-throughput WLANs
机译：正交频分复用（OFDM）和多输入多输出（MIMO）系统的组合对于通过无线局域网（WLAN）进行室内多媒体传输的PHY层来说似乎是一种有前途的解决方案。天线选择是在保持高性能的同时降低MIMO-OFDM系统硬件成本的绝佳方法。本文针对天线选择的应用解决了两个主要的实际问题：天线选择训练协议设计和解决射频不平衡的校准。我们提出了新颖的解决方案，特别适用于时变缓慢的环境，例如室内场景，运动场和购物中心。具体而言，与此类环境相关的低多普勒扩展使我们能够通过突发传输的多个训练数据包来训练所有天线子集；因此，天线的选择技术可以以最小的修改适应新兴的标准。为了解决射频不平衡问题，我们提出了一种新颖的校准程序，可以减少性能下降。数值和分析方法均用于验证所提出解决方案的有效性，这使天线选择更容易适应高吞吐量的WLAN系统。我们的解决方案已包含在针对高吞吐量WLAN的IEEE 802.11n标准的当前草案中

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