Parallel low-complexity MIMO detection algorithm using QR decomposition and Alamouti space-time code

Maher Arar, A. Yongaçoğlu
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引用次数: 2

Abstract

Fourth generation (4G) and beyond-4G wireless standards must support sub-1Gbps data rates with peak bandwidth efficiencies of up to 30 bit/s/Hz. It is widely recognized that the use of multiple antennas on both ends of the wireless link, commonly referred to as MIMO, is the technology that will make this a reality. The problem is that most existing MIMO algorithms are either too complex to be able to support such rates or do not lend themselves to a parallel implementation, a must-have feature that will enable the use of low-power multi-core processors. In this paper we propose a parallel architecture and associated algorithm that has reasonable complexity. Most importantly, the algorithm possesses a performance-on-demand feature that allows for complexity, performance and power consumption to be traded off on a packet-by-packet basis.
基于QR分解和Alamouti空时码的并行低复杂度MIMO检测算法
第四代(4G)和超越4G的无线标准必须支持低于1gbps的数据速率,峰值带宽效率高达30bit /s/Hz。人们普遍认为,在无线链路的两端使用多个天线(通常称为MIMO)是实现这一目标的技术。问题是,大多数现有的MIMO算法要么太复杂,无法支持这样的速率,要么不适合并行实现,而并行实现是使用低功耗多核处理器必须具备的特性。本文提出了一种具有合理复杂度的并行架构和相关算法。最重要的是,该算法具有按需性能特性,允许在逐个数据包的基础上权衡复杂性、性能和功耗。
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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