Distributed caching in information-centric cellular networks with full duplex communication

作者：Liu, Ming; Mao, Yuming; Leng, Supeng^*

来源：IET Communications, 2019, 13(2): 223-231.

DOI：10.1049/iet-com.2018.5130

• cellular radio
• cache storage
• Internet
• optimisation
• resource allocation
• amplify and forward communication
• multiplexing
• distributed caching
• information-centric cellular networks
• information-centric network implementation
• information retrieval
• distributed content caching
• mobile devices
• content publishing services
• conventional half-duplex
• base station
• wireless networks
• flexible content caching
• network infrastructures
• network utility
• joint caching strategy

Current approaches to information-centric network (ICN) implementation employ the edge storage of network infrastructures to minimise the latency of information retrieval. However, the edge storage of infrastructures is finite. Distributed content caching assisted by mobile devices becomes a potential solution to content publishing services. Nevertheless, under the conventional half-duplex-based ICN, extra memory is occupied and the delay is increased. Fortunately, full duplex (FD) communications can improve the spectrum efficiency of wireless networks, and reduce the access delay by more flexible content caching. In this study, the authors propose a novel FD-based ICN (FD-ICN) framework, where content caching is not only implemented in network infrastructures but also in mobile devices. Content cached by mobile devices can be delivered in a FD amplify and forward way without extra BS memory occupation and delay. To maximise the network utility of the FD-ICN, they formulate the caching strategy and FD radio resource allocation as a joint optimisation problem. A joint caching strategy and FD radio resource allocation algorithm are proposed. Simulation results show their FD-ICN framework can achieve superior system utility compared to the conventional ICN. Moreover, the proposed algorithm exhibits higher utility with similar converge rate compared to the heuristic algorithm.

• 出版日期2019-1-18
• 单位电子科技大学