A review on principles, performance and complexity of linear estimation and detection techniques for MIMO systems

Author:

Gaspar Danilo,Mendes Luciano L.,Pimenta Tales C.

Abstract

The advent of the fifth generation (5G) of mobile networks has introduced several new use cases that are pushing mobile networks in environments that are typically supported by wired technologies. The initial discussions around the sixth generation (6G) of mobile networks signalizes that different approaches are needed to address all contrasting requirements, where multiple-input multiple-output (MIMO) technique stands as a key technology for most future wireless systems. In this review, we present an introduction on classical linear estimators and coherent detectors along with an innovative and accurate complexity formulation within a common framework, allowing a fair comparison and providing an initial guideline for researchers that are looking for a general view of the main techniques available for spatial multiplexing (SM)-MIMO detection and estimation.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Rede Nacional de Ensino e Pesquisa

Ministério da Ciência, Tecnologia, Inovações e Comunicações

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Frontiers Media SA

Subject

Pharmacology (medical)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Optimized Vector Digital Signal Processor for 5G Achieving 0.3ms Channel Estimation time for 8RX 100MHz Bandwidth;2024 IEEE/SICE International Symposium on System Integration (SII);2024-01-08

2. Spatial Multiplexing MIMO for Remote Areas employing MMSE Parallel Interference Cancellation for Non-Orthogonal GFDM;2023 International Conference on Microelectronics (ICM);2023-12-17

3. Energy Efficiency Optimization in Massive MIMO Systems with Low-Resolution ADCs;2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS);2023-11-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3