简短调查:人工智能在大规模多输入多输出中的应用

B. Rajarajeswarie, R. Sandanalakshmi
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引用次数: 2

摘要

当前的移动基础设施面临着移动通信量的指数级增长,这导致了对高数据速率和低延迟的需求。因此,大规模多输入多输出(MIMO)因其高数据速率和系统吞吐量而成为第五代(5G)无线通信系统中最有前途的技术之一。这项技术面临的主要挑战是计算复杂度高和利用多天线系统的巨大困难。因此,本调查报告重点关注 5G 无线系统中的 Massive MIMO 系统问题,以及如何利用智能来解决这些挑战,从而改善用户体验并有效利用无线电资源。因此,本文提供了一份简短的调查报告,概述了人工智能在 5G 无线系统中的应用,以解决 Massive MIMO 系统中的各种挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Short Survey: Applications of Artificial Intelligence in Massive MIMO
The current mobile infrastructure faces an exponential growth in mobile traffic volumes which causes a demand on high data rate and low latency. Hence massive MIMO is one of the most promising technology of fifth Generation (5G) wireless communication systems due to its high data rate and system throughput. In this technology the major challenges are high computational complexity and great difficulties in the exploitation of the multiple antenna systems. Hence, this survey paper focuses on the issues on the Massive MIMO system in 5G wireless systems and the use of intelligence to resolve the challenges to improve the user experience and to utilize the radio resources in an effective way. Therefore, this paper provides a short survey that provides an overview of the implementation Artificial Intelligence in 5G wireless systems for solving various challenges in the Massive MIMO system.
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