Deep Unfolding of Chebyshev Accelerated Iterative method for Massive MIMO Detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Unfolding of Chebyshev Accelerated Iterative method for Massive MIMO Detection

Published:2023 Issue: Volume: Page:1-1
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Berra Salah¹^ORCID,Chakraborty Sourav²^ORCID,Dinis Rui³^ORCID,Shahabuddin Shahriar⁴^ORCID

Affiliation:

1. COPELABS, Universidade Lusófona, Campo Grande 376, Lisboa, Portugal

2. Department of Electronics and Communication Engineering, Cooch Behar Government Engineering College, Cooch Behar, West Bengal, India

3. Instituto de Telecomunicações, FCT-UNL, Campus de Caparica, Caparica, Portugal

4. Centre for Wireless Communications, University of Oulu, Erkki Koiso-Kanttilan katu 3, Oulu, Finland

Funder

Funda??o para a Ci?ncia e Tecnologia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/6514899/10132441.pdf?arnumber=10132441

Reference47 articles.

1. A Low-Complexity Massive MIMO Precoding Algorithm Based on Chebyshev Iteration

2. Expectation Propagation Aided Model Driven Learning for OTFS Signal Detection

3. High Precision Low Complexity Matrix Inversion Based on Newton Iteration for Data Detection in the Massive MIMO

4. Algorithm Parameters Selection Method With Deep Learning for EP MIMO Detector

5. Decision‐aided Jacobi iteration for signal detection in massive MIMO systems

Cited by 2 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. A Low Complexity Iterative SC-FDE Receiver for Massive MIMO Systems;IEEE Transactions on Vehicular Technology;2024-07

2. Spectral decomposition-based optimization for MMSE receiver design in an uplink MU-MIMO cooperative communication system with imperfect CSI;Physical Communication;2024-04

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