An Energy-Efficient Collaborative Caching Scheme for 5G Wireless Network

Abstract

CCN (Content-centric network) has emerged as a promising architecture for future 5G network due to its in-network caching capability and receiver-driven content retrieval paradigm. Recently, the explosive increase in energy consumption driven by the rapid growth of network traffic has become a fundamental issue in CCN and caused widespread academic concern. In this paper, we proposed an energyefficient scheme for the future 5G network. The aim of our scheme is to minimize the energy consumption by considering some important constraints, including limited storage, content popularity, placement and access to contents. Our proposed scheme provides efficient utilization of hotspot cache, minimizing transportation cost by using Zipf and knapsack which ensure local availability of cache contents and minimizing energy consumption. Finally, simulation results reveal that our proposed scheme outperform in term of saving energy, the impact of content popularity, cache size, placement, and device-to-device communication. INDEX TERMS Caching probability, energy efficiency, content-centric networking, popularity of contents, cache resource allocation.

Energy Saving Technology of 5G Base Station Based on Internet of Things Collaborative Control

“…Based on the research of mobile communication base station dormancy technology, choose the double-layer heterogeneous network as the basic network structure, and take the distance between the small base station and the macro base station as the decision condition, and implement the base station dormancy in the order of the distance from the macro base station from the near to the far. This method has certain effect, but it can not effectively identify the distance between the base station and the macro base station, so this method is not easy to promote [9]. According to the analysis of mobile communication network load, a simulation model based on load sensing is proposed, which takes the base station load as the basis of system identification.…”

A Review on Green Caching Strategies for Next Generation Communication Networks

“…The optimal allocation of popular content objects at the caching nodes significantly reduces energy costs [153]- [155]. Fang et al [141] introduced a distributed caching strategy for content placement and replacement in a CCN.…”

“…The framework investigated both content allocation problem and cache replacement technique for tactile Internet services. Another energy-efficient caching strategy optimized content allocation and access in a content-centric 5G network by exploiting D2D communication and content popularity [155].…”

“…[141], [153]- [156] Energy-efficient and distributed caching strategies for content allocation and replacement CCN [141], 5G-RAN [153], Wireless network [156], HetNet [154], [155] Solved non-cooperative game through the investigation of Nash equilibrium (NE) [141], Algorithm based on big data analysis [153]. Solved ILP optimization using Greedy heuristic [156].…”