Distributed Caching in Wireless Cellular Networks Incorporating Parallel Processing

Abstract

Distributed caching is a promising technique for reducing the redundant data traffic and user's content access delay in the telecommunication system. This article explores caching technologies with a focus on the processing of content requests in today's hierarchical wireless cellular networks. We observed that, as the number of caches at different layers of the network increases, the disadvantage of the hierarchical architecture in terms of processing delay gradually emerge. We introduce a parallel processing strategy in order to improve the efficiency of cache servers. Theoretical analysis and numerical simulations show the potential of the proposed scheme in terms of reducing both the content access delay and redundant data traffic in the core network. We also carry out cost assessments for the proposed scheme. Future research on related technologies is discussed at the end of this article.

Distributed uplink cache for improved energy and spectral efficiency in B5G small cell network

“…Whereas, uplink caching is used to store the MS’s data intended to be uploaded with the constraints of avoiding unnecessary upload to reduce the data traffic in the network, especially the access network link [ 13 , 14 ]. Distributed caching can be deployed in different types of network such as content-centric network [ 15 ], cloud-small cell networks [ 16 , 17 ], wireless cellular networks [ 18 ], dense-SBSs [ 19 ], an edge network [ 20 ], B5G mobile edge computing [ 6 ], HetNets SBs [ 21 ], B5G relaying networks [ 22 ], Small Cell Base Station (SCBS) [ 23 ], multi-antenna SCNs [ 24 ], and 5G-SBS [ 25 ].…”