The Workshop on Resource Allocation and Cooperation in Wireless Networks (RAWNET) solicits research papers with original contributions that address the latest advances and challenges in resource allocation and cooperation problems of wireless networks, from theoretical approaches grounded in communication, information, and game theory, as well as practical approaches leveraging machine learning tools. Topics of interest include, but are not limited to:
- Aerial Communications
- AI-empowered resource allocation
- Caching in wireless and mobile networks
- Cooperation in wireless networks
- Distributed optimization and coordination
- Distributed computing in wireless networks
- Distributed scheduling/resource allocation
- Data dissemination
- Generative AI and LLM for communications
- Incomplete state information
- Implicit Coordination
- Massive MIMO
- Millimeter-wave communications
- Location-based services
- Physical layer/MAC layer cooperation
- Reflecting Intelligent Surfaces
- Resource allocation and optimization in 6G wireless
- Satellite and space communications
- Semantic and task-oriented communications
- Simultaneous information and energy transmission
- Spectrum sharing
- Terahertz communications
The submitted and published versions of papers are limited to
eight (8) pages in the standard IEEE conference format. Submitted papers should be of sufficient detail to be evaluated by expert reviewers in the field. If full proofs cannot be accommodated due to space limitations, authors are encouraged to cite a publicly accessible long version of the submission that may be considered in the review. The papers should be submitted via EDAS:
https://edas.info/N34750.