Caching and multicasting for fog radio access networks
Document Type
Article
Publication Date
1-1-2022
Abstract
Cache-enabled Fog radio access network (F-RAN) is a promising technology to alleviate the traffic congestion and boost the contents delivery success rate. The efficiency of disseminating the cached contents in F-RAN can be boosted by enabling multicast service at the fog access points (F-APs). This paper proposes a joint random caching and multicasting optimization scheme for wireless backhauled F-RAN. Using tools from stochastic geometry, the expression of the successful transmission probability (STP) is derived by carefully analyzing the different types of serving F-APs and interferers. Then, a closed-form expression of the asymptotic STP in the high SNR region is derived to reduce the complexity. The joint caching and multicasting optimization problem is formulated to maximize the STP. The optimization problem is complex and non-convex in general. A novel projected cuckoo search algorithm (PCSA) is proposed to obtain the optimal content placement that maximizes the STP. The numerical simulation results show that PCSA outperforms the original cuckoo search algorithm (CSA) and the proposed asymptotically joint caching and multicasting scheme outperforms the benchmark caching schemes by up to 15% higher STPs.
Keywords
Optimization, Multicast communication, Signal to noise ratio, Interference, Wireless communication, Delays, Rayleigh channels, Backhaul, caching, Cuckoo search algorithm, F-RAN, Optimization, Multicast, Stochastic geometry
Divisions
sch_ecs
Funders
Fundamental Research Grant Scheme (FRGS) [FRGS/1/2020/TK0/UM/02/39 (FP19-2020)]
Publication Title
IEEE Access
Volume
10
Publisher
Institute of Electrical and Electronics Engineers
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA