Geometry based efficient decoding algorithms for underdetermined MIMO systems

Chung-Jung Huang, C. Wu, Ta-Sung Lee
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引用次数: 2

Abstract

In this paper, a novel decoder for underdetermined MIMO systems with low decoding complexity is proposed. The development of the proposed decoder consists of two stages. First, an improved slab decoding algorithm efficiently obtains all valid candidate points within a given slab. Next, a multi-slab based decoding algorithm finds the optimal solution by conducting intersections on the obtained candidate set with dynamic radius adaptation. The proposed decoder offers the advantages of low computational complexity and near-ML decoding performance for underdetermined MIMO systems. Simulation results indicate that it effectively reduces the complexity as compared to existing decoders, especially for large antenna numbers and/or constellations.
欠确定MIMO系统中基于几何的高效解码算法
提出了一种适用于欠定MIMO系统的低解码复杂度解码器。所提出的解码器的开发包括两个阶段。首先,提出了一种改进的slab译码算法,有效地获取给定slab内的所有有效候选点。其次,基于多板的译码算法通过对得到的候选集进行交叉,并进行动态半径自适应,从而找到最优解。该解码器对欠确定MIMO系统具有低计算复杂度和接近ml解码性能的优点。仿真结果表明,与现有的解码器相比,该方法有效地降低了解码器的复杂度,特别是在天线数量和/或星座较大的情况下。
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