무선통신 연구실

Data traffic of wireless mobile networks is dramatically increasing, but available resources, such as time, bandwidth, and transmission power are limited. Therefore, efficient resource allocation schemes are becoming increasingly important. However, since wireless mobile networks have highly complicated features, such as numerous nodes, nodes’ mobility, channel variation, and channel interference, etc., the optimal resource allocation is a challenging problem. However, due to mobile devices' limited resources, e.g., battery energy and computation speed, it is challenging for mobile devices to support the strict requirements on energy and delay. Mobile edge computing (MEC), which enables the mobile users to offload part or all of their computation works to the nearby edge servers with powerful computation capability, has been considered as a promising way to address this issue. The amount of energy consumed by mobile users is increasing rapidly, but the development of battery capacity has not kept up with their energy-supply demands. Wireless energy transfer (WET) technology can significantly extend the battery lifetime of wireless devices by supplying them with energy. Combined with wireless information transmission (WIT) in communication systems, WET has newly introduced system architectures, e.g., simultaneous wirless information and power transfer (SWIPT) and wireless powered communication network (WPCN). In a SWIPT system, a transmitter broadcasts radio frequency (RF) signals that carry both information and energy at the same time, and then wireless devices split the received signal into two parts, one for information decoding and the other one for energy harvesting. In a WPCN, wireless devices first harvest energy from the RF signals broadcasted by a transmitter an