Abstract
This paper presents a novel QoS and mobile cloud and fog computing framework for future fifth generation (5G) of mobile and fixed nodes with radio network aggregation capability. The proposed 5G framework is leading to high QoS provisioning for any given multimedia service, higher bandwidth utilization, traffic load sharing, mobile cloud plus fog computing features, and multi-radio interface capabilities. The framework is user-centric, targeted at always-on connectivity with using radio network aggregation for available mobile broadband connections, and empowered with mobile cloud and fog computing advantages. Moreover, our proposed framework is using Lyapunov drift-plus-penalty theorem that provides a methodology for designing algorithm to maximize the average throughput and stabilize the queuing. Also, we are showing the upper bound of the consumed power and the lower bound of the battery lifetime for the proposed 5G terminal. The advanced performance of our 5G QoS plus MCC framework is evaluated using simulations and analysis with multimedia traffic in heterogeneous mobile and wireless environment. The simulation results are showing that the maximal network utilization, maximal throughput, minimal end-to-end delay, efficient energy consumption, and other performance improvements are achieved.
Highlights
Nowadays we are at the point of era when the peak of 5G researchers’ work is reached, the period of implementation of the first pilot 5G networks
This paper provides 5G technology framework that could lead to high service performances with excellent Quality of Service (QoS) provisioning and mobile cloud and fog computing capabilities, using any existing and future RATs (Radio Access Technologies)
We provide simulation results for the key QoS parameters: average throughput and delays as well as energy consumption and energy efficiency results using the proposed 5G nodes with high level of QoS provisioning with mobile cloud computing (MCC) and fog features
Summary
Nowadays we are at the point of era when the peak of 5G researchers’ work is reached, the period of implementation of the first pilot 5G networks. The existing cloud computing mechanisms and data delivery models do not provide the necessary QoS and Quality of Experience (QoE) for the forthcoming largescale and dynamic services in 5G networks This is because of the large number of hops of wired networks between the 5G base stations and the cloud which leads to a significant increase in latency. The solutions and applications are including maximization of the aggregated average throughput subject to average power constraints on the node interfaces (implying longer battery life, as given in Section 3), minimizing average queue backlogs, subject to minimal queue network delay, and leading to achievements of overall system stability This system model supports the fog computing service orchestration mechanisms described in [20] and performs a quality evaluation of these mechanisms in terms of delay, throughput, energy consumption, and energy efficiency.
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