Massive-MIMO模拟波束智能构造
首发时间:2020-11-19
摘要:Massive-MIMO技术是5G中最热门的关键技术之一。Massive-MIMO技术是在原有的MIMO技术基础上,在基站部署大规模的天线,从而大幅提升和用户间的阵列增益。其中涉及的波束赋形技术可以有效增强Massive-MIMO技术的性能,波束赋形技术分为数字波束赋形,也称为预编码以及模拟波束赋形。本文的主要创新点:在大规模天线场景中,每个通道采用不同的辐射方向图,并使用群体智能优化算法,构造出不同宽度和指向的模拟波束。本文涉及的主要内容有:每个通道采用不同的辐射方向图的公式推导,采用叠加法和粒子群算法构造指定波束的对比分析,以及粒子群算法应用的优化方法。
关键词: 通信与信息系 Massive-MIMO 模拟波束构造 叠加法 粒子群算法
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Massive-MIMO analog beam intelligent construction
Abstract:Massive-MIMO technology is one of the most popular key technologies in 5G. Massive-MIMO technology is based on the original MIMO technology, deploying large-scale antennas in the base station, thereby greatly improving the array gain between users. The beamforming technology involved can effectively enhance the performance of the Massive-MIMO technology. The beamforming technology is divided into digital beamforming, also known as precoding and analog beamforming. The main innovation of this article: In a large-scale antenna scenario, each channel uses a different radiation pattern, and uses a swarm intelligence optimization algorithm to construct analog beams of different widths and directions. The main contents of this article are: the formula derivation of different radiation patterns for each channel, the comparative analysis of the specified beam constructed by the superposition method and the particle swarm algorithm, and the optimization method of the particle swarm algorithm application.
Keywords: Department of Communication and Information Massive-MIMO analog beam construction superposition method particle swarm algorithm
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