Zhi LIU (劉 志)

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Scientific Research (B), Fund Type: -, Overall Grant Amount: - (direct: 13000000, indirect: 3900000)
The purpose of this research project is by exploring context-aware, resource requirement-driven network densification to realize ultra-high capacity and massive access capability for next-generation wireless access networks. To this end, we have tackled on the resource management and inter-cell interference mitigation problems in heterogeneous wireless cellular networks, and proposed optimization algorithms for dynamic cell-range expansion, users' cell selection, and dynamic network clustering with base station sleeping and shared caching functions. We have also studied on online resource management algorithms for mobile edge computing to provide computing and data caching capabilities in wireless access networks. By leveraging reinforcement learning and fussy logic based techniques, we have also proposed low-overhead clustering based routing protocols for context-aware data delivering in vehicular networks utilizing multiple wireless access technologies.