Metaheuristics for Machine Learning

14Optimal Cell Planning in Two Tier Heterogeneous Network through Meta-Heuristic Algorithms

Sanjoy Debnath¹*, Amit Baran Dey² and Wasim Arif²

¹Department of ECE, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India

²Department of ECE, National Institute of Technology Silchar, Assam, India

Abstract

This work comprises optimal cell planning of a two-tier heterogeneous network that consists of macro and small cells with mobile and machine type user in emergency. The optimum cell planning is a promising work to be solved for efficient resource allocation of a wireless network. Cell planning deals with the optimum placement of cells while maximizing the overall network utility. Here, the development of utility function comprises intercell interference and user throughput satisfaction. This work deals with the maximization of network utility of a two-tier heterogeneous network under the constraints of minimum power consumption, user coverage, and satisfaction fulfillment. The user satisfaction could be thought of as user association with the optimal cell while fulfilling the demanded data rate. The effectiveness of the developed model is analyzed through optimal allocation of resources among emergency and normal users, while maximizing network utility.

Keywords: Heterogeneous network, network slicing, cell planning, resource allocation, user association

14.1 Introduction

Heterogeneous network (HetNet) is a phrase that relates to the use of ...