relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3531/
title: A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling
creator: Lam, Sinh Cong
creator: Sandrasegaran, Kumbesan
subject: Communications
subject: ISI-indexed journals
description: This paper proposes a model based on a random cellular network to analyse performance of Joint Scheduling in which a typical user measures signal-to-interference-plus-noise ratio (SINR) on different resource blocks from K nearest BSs in order to find out the BS with the highest SINR to establish communication. The paper derives the general form of average coverage probability of a typical user in the case of $$K>2$$K>2and its close-form expression in the case of $$K=2$$K=2. The analytical results which are verified by Monte Carlo simulation indicates that (1) using the Joint Scheduling can improve the user's performance up to $$34.88 \backslash%$$34.88%in the case of the path loss exponent $$\backslashalpha = 3$$α=3; (2) the effect of the density of BSs on the user association probability is infinitesimal.
publisher: Springer
date: 2019-04
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3531/1/wire.pdf
identifier:   Lam, Sinh Cong and Sandrasegaran, Kumbesan  (2019) A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling.  Wireless Personal Communications .   pp. 1-9.  ISSN 1572-834X    (In Press)  
relation: https://link.springer.com/journal/11277
relation: https://doi.org/10.1007/s11277-019-06353-7