Channel Parameter Estimation in Millimeter-Wave Propagation Environments Using Genetic Algorithm-Reference-Cited by-同舟云学术

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Channel Parameter Estimation in Millimeter-Wave Propagation Environments Using Genetic Algorithm

Published:2024-01 Issue:1 Volume:23 Page:24-28
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Gomes Samuel Borges Ferreira¹^ORCID,Simmons Nidhi²^ORCID,Sofotasios Paschalis C.³^ORCID,Yacoub Michel Daoud¹^ORCID,Cotton Simon L.²^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil

2. Centre for Wireless Innovation, Queen's University of Belfast, Belfast, U.K.

3. Center for Cyber-Physical Systems, Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE

Funder

Royal Academy of Engineering

Eldorado Research Institute and Conselho Nacional de Pesquisa - CNPq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/10380962/10251547.pdf?arnumber=10251547

Reference31 articles.

1. Millimeter-Wave Propagation Channel Characterization for Short-Range Wireless Communications

2. Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges

3. Influence of the Human Activity on Wide-Band Characteristics of the 60 GHz Indoor Radio Channel

4. Introduction to Evolutionary Computing

5. Maximum likelihood joint channel and data estimation using genetic algorithms

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1. IRIME: Mitigating exploitation-exploration imbalance in RIME optimization for feature selection;iScience;2024-08

2. Differential Evolution for Optimizing Parameter Estimation in Practical D2D Channels;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. IRIME: A Novel Approach to Mitigating Exploitation-Exploration Imbalance in Rime Optimization Algorithm for Feature Selection;2024-02-16

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