A Biological Model for Resource Allocation and User Dynamics in Virtualized HetNet

Lu Ma,Xiangming Wen,Raymond Knopp,Zhaoming Lu,Luhan Wang,Irfan Ghauri

doi:10.1155/2018/1745904

Abstract

Virtualization technology is considered an effective measure to enhance resource utilization and interference management via radio resource abstraction in heterogeneous networks (HetNet). The critical challenge in wireless virtualization is virtual resource allocation on which substantial works have been done. However, most existing researches on virtual resource allocation focus on improving total utility. Different from the existing works, we investigate the dynamic-aware virtual radio resource allocation in virtualization based HetNet considering utility and fairness. A virtual radio resource management framework is proposed, where the radio resources of different physical networks are virtualized into a virtual resource pool and mobile virtual network operators (MVNOs) compete for virtual resources from the pool to provide service to users. A virtual radio resource allocation algorithm based on biological model is developed, considering system utility, fairness, and dynamics. Simulation results are provided to verify that the proposed virtual resource allocation algorithm not only converges within a few iterations, but also achieves a better trade-off between total utility and fairness than existing algorithm. Besides, it can also be utilized to analyze the population dynamics of system.

Highlights

Within the last decade, mobile networks are experiencing dramatic increases in data traffic and services [1]
The main contributions of this paper are summarized as follows: (i) We formulate the virtual radio resource allocation problem in virtualization based heterogeneous networks (HetNet) as a population competing model, where the users in the system are considered as the predators in nature environment, and virtual radio resources are preys to users
Users of different mobile virtual network operators (MVNOs) compete for virtual radio resources from the virtual resource pool

Summary

Introduction

Mobile networks are experiencing dramatic increases in data traffic and services [1]. Mobile network operators deploy many kinds of networks and make them denser and denser. In LTE, heterogeneous networks allow a mixed deployment of macro and micro base stations (BSs) in a geographic area providing different accessing capabilities and capacity/coverage needs [2]. Coverage of cellular networks becomes denser and more complex which leads to more users at the edge of network. More handovers and unbalanced load are caused by user mobility. The wireless network virtualization which attracts much attention has recently been considered as a promising solution to increase the spectrum and infrastructure efficiency [5]

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Conclusion