Power Allocation for Adaptive-Connectivity Wireless Networks Under Imperfect CSI-Reference-Cited by-同舟云学术

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Power Allocation for Adaptive-Connectivity Wireless Networks Under Imperfect CSI

Published:2023-07 Issue:7 Volume:71 Page:4328-4343
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Nguyen Minh-Thang¹^ORCID,Song Jiho²^ORCID,Kwon Sungoh³^ORCID,Kim SungKyung⁴

Affiliation:

1. Department of Electrical Engineering, École de technologie supérieure, Montreal, Canada

2. Department of Electrical and Electronic Engineering, Hanyang University, ERICA Campus, Ansan, South Korea

3. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

4. Mobile Telecommunication Research Laboratory, ETRI, Daejeon, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government

5G Open Intelligence-Defined RAN (ID-RAN) Technique based on 5G New Radio

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10184153/10128146.pdf?arnumber=10128146

Reference47 articles.

1. Generalized Design of Low-Complexity Block Diagonalization Type Precoding Algorithms for Multiuser MIMO Systems

2. Multi-User Precoding and Channel Estimation for Hybrid Millimeter Wave Systems

3. Cooperative Multi-Cell Block Diagonalization with Per-Base-Station Power Constraints

4. Hybrid precoding for millimeter wave cellular systems with partial channel knowledge

5. Proportional-Fair Resource Allocation for Coordinated Multi-Point Transmission in LTE-Advanced

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. Exploring the Impact of Power Control Strategies for Enhanced IoT Connectivity in Massive MIMO;IEEE Internet of Things Journal;2024-02-01

2. Deep Learning Based Energy, Spectrum, and SINR-Margin Tradeoff Enabled Resource Allocation Strategies for 6G;IEEE Access;2024

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