Optimized Cell Planning for Network Slicing in Heterogeneous Wireless Communication Networks

TL;DR

This paper introduces a novel cell planning scheme for 5G heterogeneous networks that optimizes resource allocation among slices and cells, improving efficiency and supporting service-specific quality-of-service requirements.

Contribution

It presents a convex approximation method for joint optimization of resource distribution, cell assignment, and user allocation in dense 5G networks, which was previously computationally intractable.

Findings

Optimizes resource efficiency in 5G heterogeneous networks

Enables service-centric network design

Improves resource utilization through convex approximation

Abstract

We propose a cell planning scheme to maximize the resource efficiency of a wireless communication network while considering quality-of-service requirements imposed by different mobile services. In dense and heterogeneous cellular 5G networks, the available time-frequency resources are orthogonally partitioned among different slices, which are serviced by the cells. The proposed scheme achieves a joint optimization of the resource distribution between network slices, the allocation of cells to operate on different slices, and the allocation of users to cells. Since the original problem formulation is computationally intractable, we propose a convex inner approximation. Simulations show that the proposed approach optimizes the resource efficiency and enables a service-centric network design paradigm.