Joint optimisation of radio and infrastructure resources for energy‐efficient massive data storage in the mobile cloud over 5G HetNet

Abstract

This study formulates the problem of radio resource and data transmission strategy in a dense HetNet enhanced with mobile cloud computing and mobile edge computing technologies as a combinatorial optimisation problem. An ant colony optimisation (ACO)-based energy-aware algorithm is proposed as solution approach, which consists of a data transmission management scheme and a physical resource blocks/bandwidth allocation scheme. Simulation results show that compared with baseline approaches [(greedy and data split multiple user equipment (UEs) algorithms]), the proposed ACO-based algorithm achieves: (i) about 99% of reduction in terms of transmission delay under varying data file sizes (resp. varying number of UEs in the network); (ii) about 99% of reduction in terms of transmission energy dissipated by an UE during transmission of a file under varying data file sizes (resp. varying number of UEs in the network); (iii) improved performance with an increase in the number of small base stations in the network, (iv) significant reduction in the energy transmitted (by the UE) during transmission of big data files to the cloud storage; and (v) some stability irrespective of the variation in network conditions such as increasing the number of active UEs or increasing the number of UEs in the network.

Blockchain for 5G and beyond networks: A state of the art survey

“…Cloud computing has been investigated and integrated extensively with 5G networks, paving the way for the computingintensive applications involving multi-dimensional massive data processing assisted by the cloud [51], [52]. In fact, cloud computing paradigms provide a number of technical solutions for realizing 5G services, such as optimizing the communications, processing and storage processes [53], 5G data content delivery and catching [54], resource allocation and data transmission management [55], and cloud-enabled small cell networking for 5G media services [56]. Specially, in order to meet the ever-increasing demand of user association and resource allocation in cellular 5G networks, the architecture of cloud radio access networks (Cloud-RANs) is envisioned as an attractive model that manages the large number of small cells through the centralized cloud controller as baseband unit (BBU) pool [57].…”

Overview of evolutionary algorithms and neural networks for modern mobile communication

“…In the MEC domain, 220 to address various parameters, including delay and efficiency, the joint optimization of radio resources is reported in Reference 221, and stochastic‐based joint management is discussed in Reference 222. Further, the joint optimization of infrastructure resources for transferring big data over a 5G network is reported in Reference 223. The optimization is based on ACO to effectively transfer data in terms of the performance parameters of data transmission, such as delay and energy consumption.…”

Optimization of Radio and Infrastructure Resources for Efficient Massive Data Transmission and Storage in Mobile Cloud over 5G HetNet

“…The approach to tackle Problem 2 (termed as Approach 3) consists of formulating it as a combinatorial optimization problem, then solving it using an ACO based energy aware algorithm [17] involving the aforementioned data transmission management scheme, PRBs/bandwidth allocation scheme, and a DSMU algorithm.…”