Intelligent Resource Allocation Methods for Next Generation Wireless Cellular Systems
A special issue of Electronics (ISSN 2079-9292).
Deadline for manuscript submissions: 15 July 2025 | Viewed by 5018
Special Issue Editors
Interests: intelligent wireless communications; digital twin; MEC; IoT
Interests: broadband wireless communications; including resource management; non-orthogonal multiple access; reconfigurable intelligent surface; small cells; interference management
Interests: URLLC; semantic communications; integrated sensing and communication; hybrid automatic repeat request; non-orthogonal multiple access; short-packet communications; intelligent reflecting surface; Internet of Things
Interests: space–air–ground integrated networks; AI-enabled networks; IoT; large-scale network modelling; optimization
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Special Issue Information
Dear Colleagues,
As wireless cellular networks continue to evolve and embrace new technologies, the efficient allocation of resources becomes not only crucial but also necessary to meet the ever-increasing demands for higher data rates, improved quality of service, and ultra-high reliable connectivity. The effective management and allocation of wireless cellular network resources, including spectrum, power, and computational resources, are essential for meeting these demands and ensuring optimal network performance.
This Special Issue on "Intelligent Resource Allocation Methods for Next-Generation Wireless Cellular Networks" aims to address this critical need by exploring novel resource allocation methods that leverage intelligent techniques. By harnessing the power of artificial intelligence, machine learning, optimization algorithms, and other intelligent approaches, researchers and practitioners can optimize resource allocation in next-generation wireless cellular networks.
The articles featured in this Special Issue cover a wide range of topics, including but not limited to:
- Machine learning-based resource allocation algorithms;
- Optimization models for resource allocation;
- Dynamic spectrum allocation techniques;
- Energy-efficient resource allocation strategies;
- Joint resource allocation schemes for heterogeneous networks;
- Resource management for advanced wireless techniques like intelligent reflecting surface (IRS), massive MIMO, non-orthogonal multiple access (NOMA), rate-splitting multiple access (RSMA), unmanned aerial vehicle (UAV), multi-access computing (MEC), and wireless edge caching;
- Resource allocation for wireless digital twin networks;
- Resource management for the sixth-generation wireless communication networks (6G);
- Resource allocation for generative artificial intelligence-enabled 6G networks.
Dr. Yaru Fu
Dr. Hong Wang
Dr. Zheng Shi
Dr. Yalin Liu
Guest Editors
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Keywords
- digital twin
- Internet-of-Things
- intelligent reflecting surface (IRS)
- massive MIMO
- non-orthogonal multiple access (NOMA)
- rate-splitting multiple access (RSMA)
- sixth-generation wireless communication networks (6G)
- unmanned aerial vehicle (UAV)
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