5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy-Reference-Cited by-同舟云学术

5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy

Published:2023 Issue: Volume:11 Page:82079-82094
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fayad Abdulhalim¹^ORCID,Cinkler Tibor¹,Rak Jacek²^ORCID

Affiliation:

1. Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary

2. Department of Computer Communications, Gdańsk University of Technology, Gdańsk, Poland

Funder

CHIST-ERA Sustainable and Adaptive Ultra-High-Capacity Micro Base Stations (SAMBAS) Grant

Research Foundation–Flanders (FWO), Agence nationale de la Recherche (ANR), National Research, Development and Innovation Office (NKFIH), and UK Research and Innovation

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/ielx7/6287639/10005208/10198445.pdf?arnumber=10198445

Reference44 articles.

1. Towards energy efficiency in ultra dense networks

2. On Global Electricity Usage of Communication Technology: Trends to 2030

3. Joint user association and power allocation in ultra-dense mmWave networks: A multi-connectivity approach;chen;arXiv 2202 04070,2022

4. An overview and classification of research approaches in green wireless networks

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1. Dynamic SNR, Spectral Efficiency, and Rate Characterization in 5G/6G mmWave/sub-THz Systems with Macro- and Micro-Mobilities;Future Internet;2024-07-06

2. Energy-Efficient Joint User and Power Allocation in 5G Millimeter Wave Networks: A Genetic Algorithm-Based Approach;IEEE Access;2024