Why this research

This research line originates from my Master’s thesis, which focused on optimizing the harvested energy and throughput in 5G networks with Simultaneous Wireless Information and Power Transfer (SWIPT). My interest lies in understanding how close we can get to a fair balance between information capacity and energy sustainability, without relying on unrealistic assumptions. For this reason, my research is not limited to the development of a theoretical framework but tries to leverage existing (cellular) networks to power-up devices.

What I am working on

At the moment, my focus is on modeling energy saving policies through queueing theory, in order to better capture the dynamics of data arrivals, service times, and scheduling strategies in SWIPT-enabled systems. This approach allows me to quantify how energy can be conserved or wasted depending on the load conditions and the chosen allocation policy. In parallel, I am exploring how these models can be adapted to future network technologies, such as beyond-5G and 6G paradigms, where ultra-dense deployments, and intelligent surfaces are expected to play a relevant role. The goal is to check weather SWIPT algorithms can be further optimized leveraging next generation technologies.

Findings

Well, not all the directions are satisfying when doing research, anyway ... I have been lucky and I have some insight to share with you. Interference plays a relevant role here and so put more devices in the network it is possible to reduce the overall power consumption and harvest the energy needed to power-up the devices. Those aspects are further enhanced if IoT devices adopt policies for transmitting only when holding enough energy.

Get Involved

Multiple paths can be considered for the future research. What happens if a device can shift the load when more convenient? What if a network provider can pay some devices to enhance the coverage area? I have a lot of open questions, so if you are interested pleeeease, let me know, I need your help!

Related Publications

Here it is all the relevant publications for this topic:

• Rizzo, G., Marsan, M. A., Esposito, C., & Boi, B. (2025). Green operations of swipt networks: The role of end-user devices. IEEE Transactions on Green Communications and Networking.
• Rizzo, G., Boi, B., Marsan, M. A. ,& Esposito, C. (2024, October). A Stochastic Geometry approach to performance modeling of SWIPT vehicular networks. In 2024 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) (pp. 76-83). IEEE.
• Boi, B., Finarelli, L., Dressler, F., Esposito, C., & Rizzo, G. (2025, to be presented) Energy-Aware Load Shifting in SWIPT-Enabled IoT Networks.