Sponsor:
This project investigates energy efficiency problems in next generation network. Intelligent power m anagement solutions are studied to maximize the utility objective. For example, dynamic switching of base stations, smart scheduling for renewable energy, content caching and cooperative transmission.Related work:
- L. Wang and M. Pedram. Joint Transmission and Charging Optimization in Wireless Powered IoT Systems, in prepared.
- L. Wang and M. Pedram, Towards Green Mobile Networks: Concurrent User Association and Dynamic Switching in Cells, Submitted to IEEE Green Technologies Conf. 2019.
- L. Wang, S. Chen and M. Pedram,Power Management of Cache-enabled Cooperative Base Stations Towards Zero Grid Energy, Proc. of IEEE International Conference on Communications, May. 2018.
- L. Wang, S. Chen, and M. Pedram. Context-Driven Power Management in Cache-Enabled Base Stations using a Bayesian Neural Network, Proc. of Int’l Green and Sustainable Computing Conf., Oct. 2017.