Intelligent Resource Allocation for Unmanned Aerial Vehicle-Assisted Wireless Networks
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 406
Special Issue Editor
Special Issue Information
Dear Colleagues,
Unmanned aerial vehicles (UAVs) are being increasingly integrated into wireless communication networks due to their flexibility, ability to be rapidly deployed, and potential to improve network coverage and performance. However, the efficient and intelligent allocation of resources such as power, spectrum, and computational capacity within UAV-assisted wireless networks remains a challenging task, particularly given the dynamic nature of UAV mobility, environmental factors, and heterogeneous user demands.
This Special Issue seeks to highlight cutting-edge research and innovations in algorithmic solutions and intelligent resource management strategies for UAV-assisted communications. We invite the submission of original research articles, comprehensive reviews, and case studies that address the development and application of advanced algorithms in this domain. Topics of interest include, but are not limited to, the following:
- AI-Driven Algorithms for Resource Allocation in UAV Networks: The development of novel machine learning- and AI-based algorithms to optimize resource allocation in real time.
- Power and Spectrum Management for UAV-Assisted Networks: Intelligent strategies for dynamic power control and efficient spectrum utilization.
- UAV Placement Optimization: Algorithmic approaches to optimizing UAV positioning for maximum network coverage and enhanced communication performance.
- Energy-Efficient Solutions in UAV-Enabled Wireless Systems: Techniques and algorithms that can be used to reduce energy consumption and prolong network lifetime.
- Deep Learning and Reinforcement Learning for Resource Allocation: Leveraging neural networks, reinforcement learning, and hybrid models for adaptive resource allocation.
- Cooperative Communication Strategies with UAVs: Algorithms for multi-UAV coordination and collaborative communication.
- QoS and QoE Enhancement in UAV Networks: Methods used to improve the quality of service (QoS) and quality of experience (QoE) for diverse user needs.
The growing relevance of UAVs in future 5G, and beyond, wireless networks makes this an essential area of study. This Special Issue aims to provide a platform for addressing both theoretical and practical challenges in intelligent resource allocation for UAV-assisted communications. By exploring advanced algorithmic techniques, this Special Issue will gather valuable insights and potential solutions to significantly enhance the performance and efficiency of UAV-assisted wireless networks.
Dr. Mohamed Amine Ouamri
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- unmanned aerial vehicles (UAVs)
- resource allocation
- algorithms
- wireless systems
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