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Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems

  • Published:2021 Issue:3 Volume:67 Page:3189-3214
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

Salh Adeeb,Audah Lukman,Abdullah Qazwan,Shahida M. Shah Nor,A. Hamzah Shipun,Nordin Shahilah,Farah Nabil

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Cited by 15 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. Joint Optimization-Based QoS and PAPR Reduction Technique for Energy-Efficient Massive MIMO System;International Journal of Computational Intelligence Systems;2024-09-04

2. Downlink Massive MIMO Systems: Reduction of Pilot Contamination for Channel Estimation with Perfect Knowledge of Large-Scale Fading;International Journal of Integrated Engineering;2023-07-31

3. Optimal transmit power and antenna selection to achieve energy-efficient and low-complexity in 5G massive MIMO systems;THE 5TH INTERNATIONAL CONFERENCE ON BIOSCIENCE AND BIOTECHNOLOGY;2023

4. Development of a fully data-driven artificial intelligence and deep learning for URLLC application in 6G wireless systems: A survey;THE 5TH INTERNATIONAL CONFERENCE ON BIOSCIENCE AND BIOTECHNOLOGY;2023

5. Estimation Large- Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System;2022 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE);2022-12-03
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