Profit-Aware Resource Allocation for 5G Sliced Networks

In this paper, we investigate the radio resource allocation for the 5G Sliced Network from the perspective of the network profit. Based on the quality of service requirements of the different network slices case, a Profit-Aware Resource Allocation (PARAA) is proposed. The Power-Bandwidth rule is employed in the cost estimation, while the optimization problem is formulated as a Mixed Integer Non-Linear Problem (MINLP) and the Binary Particle Swarm Optimization (BIPSO) is used to solve the profit resource allocation problem. In respect to this, the performance of the algorithm is investigated via intensive Monte-Carlo based simulations taking into consideration the effect of coverage radius, number of users per slice and the allocated transmit power of each user.

I. Introduction

Recently, due to the modern sophistication of the mobile devices, there has been a tremendous demand for the radio resources of the current mobile communication system and this phenomenon was buttressed by Cisco's whitepaper [1]. The report also predicted that by 2021, the monthly global mobile data traffic would be about 48.27 Exabytes. It is a known fact that the current generation of the mobile communication system (4G) would not be able to meet such onerous traffic demands and more so, the strict and increased Quality of Service (QoS) requirements.