Joint Pilot Design and Channel Estimation Using Deep Residual Learning for Multi-Cell Massive MIMO Under Hardware Impairments

Author:

Lim Byungju1ORCID,Yun Won Joon1ORCID,Kim Joongheon1ORCID,Ko Young-Chai1ORCID

Affiliation:

1. School of Electrical Engineering, Korea University, Seoul, Republic of Korea

Funder

Institute of Information & communications Technology Planning & Evaluation

Post MIMO system research for massive connectivity, and new wireless spectrum

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 5 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. Data-Driven Channel Acquisition with Pilot Decontamination in IRS-Aided Communication Systems;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

2. Pilot Contamination in Massive MIMO Systems: Challenges and Future Prospects;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

3. AI-Native Communications;Fundamentals of 6G Communications and Networking;2023-07-10

4. Modified User Grouping and Hybrid Precoding for Information Decoding and Energy Harvesting in Hardware Impaired Point-To-Point MM-Wave Massive MIMO NOMA;IEEE Access;2023

5. A novel Channel Estimation Method based on Deep Neural Network for OTFS system;2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2022-11-05

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