通过模糊增强深度学习实现无线网络中的动态链路调度

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Communications Society Pub Date : 2024-10-23 DOI:10.1109/OJCOMS.2024.3484948

Maryam Abbasalizadeh;Krishnaa Vellamchety;Pranathi Rayavaram;Sashank Narain

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引用次数: 0

摘要

本文介绍了学习贪婪链路调度（LGLS）算法，这是一种优化无线网络中链路调度的新方法。通过整合深度学习和模糊逻辑，LGLS 预测了链路质量概率，为动态管理无线网络干扰提供了重要的拓扑信息。这种方法提高了资源分配效率，从而更好地利用带宽和频谱。我们的综合评估结果表明，LGLS 的性能优于本地贪婪调度（LGS）等传统算法，链路调度性能提高了 9.60% 到 24.79%，激活的链路增加了 24.10%。这些结果证明了 LGLS 在不同网络条件下的鲁棒性和高效性，使其成为未来无线网络优化的一个有前途的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamic Link Scheduling in Wireless Networks Through Fuzzy-Enhanced Deep Learning

In this paper, we present the Learning Greedy Link Scheduling (LGLS) algorithm, a novel approach for optimizing link scheduling in wireless networks. By integrating deep learning and fuzzy logic, LGLS predicts link quality probabilities, which provide critical topological information to dynamically manage wireless network interference. This approach enhances resource allocation efficiency, leading to better bandwidth and spectrum usage. Our comprehensive evaluation shows that LGLS outperforms traditional algorithms such as Local Greedy Scheduling (LGS), achieving link scheduling performance improvements ranging from 9.60% to 24.79% and activating up to 24.10% more links. These results demonstrate LGLS’s robustness and efficiency in diverse network conditions, making it a promising solution for future wireless network optimization.

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来源期刊

IEEE Open Journal of the Communications Society Multiple-

CiteScore

13.70

自引率

3.80%

发文量

审稿时长

10 weeks

期刊介绍： The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.