The Convergence of Sensing, Communication, and Computing for Future Generation Wireless Networks
1Xidian University, Xi'an, China
2Virginia Tech, Blacksburg, USA
3Muroran Institute of Technology, Muroran, Japan
4Zhejiang University of Technology, Hangzhou, China
5KTH Royal Institute of Technology, Stockholm, Sweden
The Convergence of Sensing, Communication, and Computing for Future Generation Wireless Networks
Description
With the significant advances in information and communication technologies, a large number of new applications have been spawned. As a consequence of this trend, the exponentially increasing data imposes tremendous pressures on network bandwidth, energy consumption, latency and so on. Mobile edge computing is widely regarded as a promising network paradigm to deal with these data by moving the cloud function to the network edge. In order to relieve the communication pressure from terminal devices to edge servers, the generated data should be well processed, for example data fusion and data compression, which contributes reducing to the data amount. Obviously, data sending, data communication and data computing are naturally coupled.
Future generation wireless networks are expected to support emerging novel applications and provide corresponding high service quality by the convergence of sensing, communication, and computing (SCC), which is the deployment trend of 6G. However, the research on sensing, communication and computing still is in its infancy state with many key problems to be solved, for example architecture design, multi-resource cooperation, Intelligent management and so on.
This Special Issue aims to provide a forum for researchers and practitioners from academia and industry to present their latest research and review articles focused on the sensing, communication and computing integration for future generation wireless networks.
Potential topics include but are not limited to the following:
- Architecture design for SCC integration
- Cooperation of sending and communication
- Cooperation of communication and computing
- Multi-resource management for SCC integration
- Computation offloading and service caching for SCC integration
- Distributed intelligence aided SCC integration
- Blockchain empowered SCC integration
- Security and privacy issues for SCC integration
- Performance analysis for SCC integration
- Implementation/testbed/deployment for SCC integration