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A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling

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)

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Abstract

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.

Item Type: Article
Subjects: Electronics and Communications > Communications
ISI-indexed journals
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Dr Sinh Cong Lam
Date Deposited: 19 Jun 2019 12:28
Last Modified: 19 Jun 2019 12:28
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3531

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