QoS-aware Resource Allocation for Live Streaming in Edge-Clouds Aided HetNets Using Stochastic Network Calculus

Mobile edge computing (MEC) is a key feature of next generation mobile networks aimed at providing a variety of services for different applications by performing related processing tasks closer to the user equipment. Edge clouds can be installed as an interface between the cellular networks and the core to provide the required services based on the known concept of the MEC networks. Nonetheless, the problem of green networking will be of great importance in such networks. This paper presents an energy-efficient stochastic network calculus (SNC) framework to control MEC data flows. In accordance with the entrance processes of different QoS-class data flows, closed-form problems were formulated to determine the correlation between resource utilization and the violation probability of each data flow. Also, in the access layer, this paper proposes a dynamic user association and resource allocation approach which maximizes the overall energy efficiency of cache-enabled cellular networks in addition to provide the superior fairness level for UEs. In this energy-cooperative approach, the power can be shared among the cells using a grid network. This model also performs routing in the multi-hop backhaul to efficiently use the existing infrastructure of small cell networks for simultaneous dual-hop transmissions. The simulation results exhibit that the proposed approach can effectively increase the user throughput and the total power efficiency while guaranteeing the acceptable fairness level for uniform and hotspot UE distribution models. It also proved that the energy utilization index and the system data rate can be significantly improved.

Stochastic Network Calculus for Delay Variation in UWAN Multichannel Communication

The behavior of underwater acoustic wireless communication is challenging one compared to terrestrial communication due to the unpredictable changes in underwater. The multichannel communication needs to consider a lot of parameters at the time of modeling and investigation such as losses and noise. Thus, communication channel separation is curiously inflexible to investigate all properties of underwater. Compared with other modes of communication, acoustics waves afford the sturdy data delivery and receiving capability in underwater. The channel allocation and detachment appearing quite difficult in acoustic with respect to techniques that induce the transmission of data digitally, which compared with the major properties of attenuation variation in underwater. In this proposal, we concentrate on the numerical results for the transmission and receiver end delay variation with the help of stochastic network calculus to measure the deviation between the simulation and numerical results (SNC) with respect to multichannel(MC).