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.
Highlights
C LOUD radio access network (C-RAN) has been regarded as a promising network architecture to support caching technology in the fifth generation communication systems (5G)
The proposed scheme is based on the content combinations and takes into consideration the stochastic nature of the channel, multicast transmission, and the wireless backhauling of the fog access points (F-APs)
The proposed scheme is based on the content combinations, and takes onto account the wireless backhauling of the F-APs
Summary
C LOUD radio access network (C-RAN) has been regarded as a promising network architecture to support caching technology in the fifth generation communication systems (5G). The rapid growth in the number of smart mobile devices and services along with the centralized architecture of C-RAN have led to many limitations, including traffic congestion, high end-to-end latency, and processing of massive amount of data [1]. F-RAN is a distributed computing network architecture in which the fog access points (F-APs) are provided with limited computing and cache capabilities [4]. In F-RAN, bringing the cache resources and the most popular contents closer to the end-users at the edge of the network can effectively reduce traffic congestion and communication latency. Due to the cache resources constraint, the joint optimization of the content placement and multicasting service at F-APs is of great importance to boost the performance of F-RAN
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