Objective
Wireless powered communication network (WPCN) is a promising networking paradigm for future wireless communication systems, where the batteries of wireless devices (WDs) are remotely replenished by means of microwave wireless power transfer (WPT) technology. Compared to the conventional battery-powered communication networks, WPCN is in general more convenient by eliminating the hassle of connecting cables, more cost-effective by enabling on-demand energy supplies and maintenance-free operations, more environmental-friendly by avoiding tons of battery disposal yearly, and is sometimes essential for scenarios where manual battery replacement/recharging is too dangerous (e.g. in hazardous environment) or even impossible (e.g. for biomedical implants). However, the practical deployment of WPCN is hampered by several critical issues, such as the low end-to-end WPT efficiency over a long distance, the inter-play between power and information transmissions within the same network, and the challenges of scalability in large networks. This project aims to resolve the above issues by paving the way for the practical deployment of WPCN. Towards this end, a comprehensive study on WPCN will be pursued, ranging from the networking architecture and protocol designs to optimized resource allocation. A number of innovative techniques will be proposed and thoroughly investigated in this project, including the new heterogeneous networking architecture for WPCN, the harvest-and-transmit protocol facilitated by the concept of energy-and-information full-duplexing, and the distributed energy beamforming technique with the idea of WD-initiated WPT. The results obtained in this project will find a wide range of applications in the fifth generation (5G) wireless communication system, which involves numerous low-power WDs, including those in wireless sensor networks (WSNs), internet of things (IoT), and massive machine-type communications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- medical and health sciencesmedical biotechnologyimplants
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Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
SO17 1BJ Southampton
United Kingdom