Analyzing the Evolution and Challenges of Modern Wireless Network Spectrum Utilization Strategies

DOI

10.2991/978-94-6463-518-8_7How to use a DOI?

Keywords

Spectrum Efficiency; Dynamic Spectrum Allocation; Artificial Intelligence; Wireless Networks

Abstract

Rapid digitalization and networking have increased communication demands, necessitating optimized spectrum resource utilization. Evolving frequency reuse strategies like Fractional Frequency Reuse (FFR), Intelligent Frequency Reuse (IFR), and Dynamic Spectrum Reuse (DSR), particularly with the advent of 5G, enhance spectrum efficiency and network performance. These advanced strategies leverage technologies like machine learning and AI to dynamically allocate frequencies, crucial for emerging applications such as the Internet of Things (IoT) and Vehicle-to-Everything (V2X). The paper compares T-FFR, FFR, IFR, and DSR across various performance metrics, highlighting the advantages of advanced strategies in terms of spectrum efficiency, interference management, adaptability, and implementation complexity. It underscores the importance of selecting and optimizing frequency reuse strategies based on actual network conditions and user needs, particularly in LTE and 5G networks. Furthermore, the document discusses practical applications of these strategies in urban environments, rural areas, and industrial sectors, emphasizing the need for policy and regulatory frameworks that support innovation and fair spectrum allocation. The conclusion calls for future research to address computational complexity and the development of hybrid strategies, combining the strengths of different approaches and harnessing AI and machine learning advancements for more efficient and reliable wireless networks.

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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TY  - CONF
AU  - Junwei Hu
PY  - 2024
DA  - 2024/09/28
TI  - Analyzing the Evolution and Challenges of Modern Wireless Network Spectrum Utilization Strategies
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 58
EP  - 65
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_7
DO  - 10.2991/978-94-6463-518-8_7
ID  - Hu2024
ER  -