Multi-Objective Energy Efficient Resource Allocation in Massive Multiple Input Multiple Output-Aided Heterogeneous Cloud Radio Access Networks-Reference-Cited by-同舟云学术

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Multi-Objective Energy Efficient Resource Allocation in Massive Multiple Input Multiple Output-Aided Heterogeneous Cloud Radio Access Networks

Published:2023 Issue: Volume:11 Page:33480-33497
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Amani Nahid¹^ORCID,Parsaeefard Saeedeh²^ORCID,Yanikomeroglu Halim³

Affiliation:

1. Department of Communication Technology, ICT Research Institute, Tehran, Iran

2. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Funder

an NSERC (Natural Sciences and Engineering Research Council of Canada) Discovery Grant

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/ielx7/6287639/10005208/10090930.pdf?arnumber=10090930

Reference46 articles.

1. Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks

2. Baseband Processing Units Virtualization for Cloud Radio Access Networks

3. Spectrum sensing and resource allocation for 5G heterogeneous cloud radio access networks

4. User association and load balancing for cellular massive MIMO

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. Efficient Network Resource Management for Improving Radio Access Through Machine Learning Approach in 5G Networks;Journal of The Institution of Engineers (India): Series B;2024-06-15

2. Massive MIMO Technology Based Analysis of Allocation of Energy-Efficient Resources and Selecting a Transmit Antenna;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

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