Scalable User Rate and Energy-Efficiency Optimization in Cell-Free Massive MIMO-Reference-Cited by-同舟云学术

Scalable User Rate and Energy-Efficiency Optimization in Cell-Free Massive MIMO

Published:2022-09 Issue:9 Volume:70 Page:6050-6065
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Tuan H. D.¹^ORCID,Nasir A. A.²^ORCID,Ngo H. Q.³^ORCID,Dutkiewicz E.¹^ORCID,Poor H. V.⁴^ORCID

Affiliation:

1. School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Ultimo, NSW, Australia

2. Department of Electrical Engineering and the Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia

3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.

4. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

Australian Research Council’s Discovery Projects

Deanship of Research Oversight and Coordination (DROC) at KFUPM for funding under the Interdisciplinary Research Center for Communication Systems and Sensing through project

U.K. Research and Innovation Future Leaders Fellowships

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/26/9893516/9840355-aam.pdf

Reference38 articles.

1. A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

2. Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?

3. Energy Efficiency in Cell-Free Massive MIMO with Zero-Forcing Precoding Design

4. Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink

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