Characterizing the sinr in poisson network using factorial moment

Usually, cellular networks are modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid. When calculating the metric performances such as coverage probability, these networks are idealized for not considering the interference. Overcoming such limitation by realistic...

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Main Authors: Fadoul, M. M., Ngah, R., Moradi, A.
Format: Article
Published: Polish Academy of Sciences 2019
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Online Access:http://eprints.utm.my/id/eprint/89673/
https://dx.doi.org/10.24425/ijet.2019.129820
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spelling my.utm.896732021-02-22T01:44:44Z http://eprints.utm.my/id/eprint/89673/ Characterizing the sinr in poisson network using factorial moment Fadoul, M. M. Ngah, R. Moradi, A. TK Electrical engineering. Electronics Nuclear engineering Usually, cellular networks are modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid. When calculating the metric performances such as coverage probability, these networks are idealized for not considering the interference. Overcoming such limitation by realistic models is much appreciated. This paper considered two-tier twohop cellular network, each tier is consisting of two-hop relay transmission, relay nodes are relaying the message to the users that are in the cell edge. In addition, the locations of the relays, base stations (BSS), and users nodes are modeled as a point process on the plane to study the two hop downlink performance. Then, we obtain a tractable model for the k-coverage probability for the heterogeneous network consisting of the two-tier network. Stochastic geometry and point process theory have deployed to investigate the proposed two-hop scheme. The obtained results demonstrate the effectiveness and analytical tractability to study the heterogeneous performance. Polish Academy of Sciences 2019 Article PeerReviewed Fadoul, M. M. and Ngah, R. and Moradi, A. (2019) Characterizing the sinr in poisson network using factorial moment. International Journal of Electronics and Telecommunications, 65 (4). pp. 611-617. ISSN 2081-8491 https://dx.doi.org/10.24425/ijet.2019.129820 DOI: 10.24425/ijet.2019.129820
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Fadoul, M. M.
Ngah, R.
Moradi, A.
Characterizing the sinr in poisson network using factorial moment
description Usually, cellular networks are modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid. When calculating the metric performances such as coverage probability, these networks are idealized for not considering the interference. Overcoming such limitation by realistic models is much appreciated. This paper considered two-tier twohop cellular network, each tier is consisting of two-hop relay transmission, relay nodes are relaying the message to the users that are in the cell edge. In addition, the locations of the relays, base stations (BSS), and users nodes are modeled as a point process on the plane to study the two hop downlink performance. Then, we obtain a tractable model for the k-coverage probability for the heterogeneous network consisting of the two-tier network. Stochastic geometry and point process theory have deployed to investigate the proposed two-hop scheme. The obtained results demonstrate the effectiveness and analytical tractability to study the heterogeneous performance.
format Article
author Fadoul, M. M.
Ngah, R.
Moradi, A.
author_facet Fadoul, M. M.
Ngah, R.
Moradi, A.
author_sort Fadoul, M. M.
title Characterizing the sinr in poisson network using factorial moment
title_short Characterizing the sinr in poisson network using factorial moment
title_full Characterizing the sinr in poisson network using factorial moment
title_fullStr Characterizing the sinr in poisson network using factorial moment
title_full_unstemmed Characterizing the sinr in poisson network using factorial moment
title_sort characterizing the sinr in poisson network using factorial moment
publisher Polish Academy of Sciences
publishDate 2019
url http://eprints.utm.my/id/eprint/89673/
https://dx.doi.org/10.24425/ijet.2019.129820
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score 13.160551