Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)

Research for Modern Spectrum Allocation Algorithms and Their Applications in Communication Systems

Authors
Ruijie Kang1, *
1Beijing-Dublin International College, Beijing University of Technology, Beijing, 100124, China
*Corresponding author. Email: Ruijie.kang@ucdconnect.ie
Corresponding Author
Ruijie Kang
Available Online 28 September 2024.
DOI
10.2991/978-94-6463-518-8_5How to use a DOI?
Keywords
Communication technology; Dynamic spectrum allocation; Cognitive radio; Spectrum allocation algorithms
Abstract

In the context of the digital age and the growing prevalence of the Internet, spectrum resources assume a pivotal role in the field of communication technology. This paper examines the potential of modern spectrum allocation algorithms in communication systems, particularly in the context of limited and scarce spectrum resources. This paper compares and evaluates the application of graph coloring theoretical models, game theory-based allocation algorithms, and distributed greedy algorithms in cognitive radio (CR) networks. It reveals the advantages and disadvantages of different algorithms in improving spectrum utilization efficiency and communication performance. Moreover, these algorithms have a broad range of applications in the fields of 5G communication systems, the Internet of Things (IoT), and satellite communications. In particular, the novel model integrating diverse algorithms offers novel insights into enhancing network performance in cognitive radio networks (CRN). In addition, a series of challenges and potential research avenues are proposed for the development trend of future communication systems, including intelligent spectrum sensing and allocation techniques, optimized communication system algorithms, and new techniques for integration. The findings of this research will serve as invaluable references and guidance for the advancement of future communication technology, thereby facilitating the evolution of communication systems toward greater efficiency, reliability, and intelligence.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
Series
Advances in Engineering Research
Publication Date
28 September 2024
ISBN
978-94-6463-518-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-518-8_5How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ruijie Kang
PY  - 2024
DA  - 2024/09/28
TI  - Research for Modern Spectrum Allocation Algorithms and Their Applications in Communication Systems
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 37
EP  - 46
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_5
DO  - 10.2991/978-94-6463-518-8_5
ID  - Kang2024
ER  -