A Low-Complexity Machine Learning Design for mmWave Beam Prediction

DOI (url)

10.1109/lwc.2024.3381447
Publication Date

2024/01/01
Journal

IEEE Wireless Communications Letters
Indian UGC (journal)
Citations

1
Muhammad Qurratulain Khan National Instruments Corporation, Dresden, Germany ORCID (unauthenticated)
Abdo Gaber National Instruments Corporation, Dresden, Germany ORCID (unauthenticated)
Mohammad Parvini Vodafone Chair for Mobile Communications Systems, Technische Universität Dresden, Germany ORCID (unauthenticated)
Philipp Schulz Vodafone Chair for Mobile Communications Systems, Technische Universität Dresden, Germany ORCID (unauthenticated)
Gerhard Fettweis Vodafone Chair for Mobile Communications Systems, Technische Universität Dresden, Germany ORCID (unauthenticated)

Journal Categories

Science

Mathematics

Instruments and machines

Electronic computers

Computer science

Science

Science (General)

Cybernetics

Information theory

Technology

Electrical engineering

Electronics

Nuclear engineering

Electric apparatus and materials

Electric circuits

Electric networks

Technology

Electrical engineering

Electronics

Nuclear engineering

Telecommunication

Technology

Technology (General)

Industrial engineering

Management engineering

Information technology

Title	Journal	Journal Categories	Citations	Publication Date
Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions	IEEE Open Journal of the Communications Society	Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication Social Sciences: Transportation and communications Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication		2024

Category	Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication	1
Social Sciences: Transportation and communications	1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks	1

The category Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions and was published in 2024. The most recent citation comes from a 2024 study titled Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the IEEE Open Journal of the Communications Society cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.