Performance Analysis of Ultra-Dense Networks with Regularly Deployed Base Stations

Filo, Marcin, Foh, Chuan, Vahid, Seiamak and Tafazolli, Rahim (2020) Performance Analysis of Ultra-Dense Networks with Regularly Deployed Base Stations IEEE Transactions on Wireless Communications.

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Abstract

The concept of Ultra Dense Networks (UDNs) is often seen as a key enabler of the next generation mobile networks. The massive number of BSs in UDNs represents a challenge in deployment, and there is a need to understand the performance behaviour and benefit of a network when BS locations are carefully selected. This can be of particular importance to the network operators who deploy their networks in large indoor open spaces such as exhibition halls, airports or train stations where locations of BSs often follow a regular pattern. In this paper we study performance of UDNs in downlink for regular network produced by careful BS site selection and compare to the irregular network with random BS placement. We first develop an analytical model to describe the performance of regular networks showing many similar performance behaviour to that of the irregular network widely studied in the literature. We also show the potential performance gain resulting from proper site selection. Our analysis further shows an interesting finding that even for over-densified regular networks, a nonnegligible system performance could be achieved.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Name Email ORCID Filo, Marcin m.l.filo@surrey.ac.uk Foh, Chuan c.foh@surrey.ac.uk Vahid, Seiamak S.Vahid@surrey.ac.uk Tafazolli, Rahim R.Tafazolli@surrey.ac.uk
Date :	26 February 2020
DOI :	https://doi.org/10.1109/TWC.2020.2974729
OA Location :	https://ieeexplore.ieee.org/document/9014525
Copyright Disclaimer :	Copyright © 2020, IEEE
Uncontrolled Keywords :	Ultra dense networks, stochastic geometry, regular networks, irregular networks, SINR.
Depositing User :	James Marshall
Date Deposited :	10 Mar 2020 14:56
Last Modified :	10 Mar 2020 14:56
URI:	http://epubs.surrey.ac.uk/id/eprint/853897

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