SIR Meta Distribution in the Heterogeneous and Hybrid Networks

With the development of the technology, the wireless systems are becoming more heterogeneous with the introduction of various power nodes including femtocells, relays, or distributed antennas. Among the research of wireless network performance, the meta distribution of the signal-to-interference rat...

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Main Authors: Yuhong Sun, Qinghai Liu, Hua Wang
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2020/8856459
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spelling doaj-c20c3161f9ef48cd817696ce25e9e8f42020-12-14T09:46:34ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88564598856459SIR Meta Distribution in the Heterogeneous and Hybrid NetworksYuhong Sun0Qinghai Liu1Hua Wang2School of Computer Science, Qufu Normal University, Rizhao, Shandong 276826, ChinaSchool of Computer Science, Qufu Normal University, Rizhao, Shandong 276826, ChinaSchool of Computer Science, Qufu Normal University, Rizhao, Shandong 276826, ChinaWith the development of the technology, the wireless systems are becoming more heterogeneous with the introduction of various power nodes including femtocells, relays, or distributed antennas. Among the research of wireless network performance, the meta distribution of the signal-to-interference ratio (SIR) has attracted significant attention. Compared to the standard success (coverage) probability, the meta distribution provides much more fine-grained information about the network performance. In this paper, we analyze the meta distribution of the SIR in the multi-tier heterogeneous and hybrid networks, where each tier is based on a homogeneous independent Poisson point process model. For the open tiers (the users can associate with any tier) and the closed tiers (the users can only associate with a certain tier), we study the bth moment of the conditional success probability for the typical user and give the beta approximation of the meta distribution from analysis and simulations. Furthermore, we analyze the per-link rate control for open tiers and closed tiers, which answers the question: “how to set the SIR threshold to meet a target reliability?”. We give the approximate value of the SIR threshold to meet a target reliability and show how the value is related to the path loss exponent and densities.http://dx.doi.org/10.1155/2020/8856459
collection DOAJ
language English
format Article
sources DOAJ
author Yuhong Sun
Qinghai Liu
Hua Wang
spellingShingle Yuhong Sun
Qinghai Liu
Hua Wang
SIR Meta Distribution in the Heterogeneous and Hybrid Networks
Wireless Communications and Mobile Computing
author_facet Yuhong Sun
Qinghai Liu
Hua Wang
author_sort Yuhong Sun
title SIR Meta Distribution in the Heterogeneous and Hybrid Networks
title_short SIR Meta Distribution in the Heterogeneous and Hybrid Networks
title_full SIR Meta Distribution in the Heterogeneous and Hybrid Networks
title_fullStr SIR Meta Distribution in the Heterogeneous and Hybrid Networks
title_full_unstemmed SIR Meta Distribution in the Heterogeneous and Hybrid Networks
title_sort sir meta distribution in the heterogeneous and hybrid networks
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2020-01-01
description With the development of the technology, the wireless systems are becoming more heterogeneous with the introduction of various power nodes including femtocells, relays, or distributed antennas. Among the research of wireless network performance, the meta distribution of the signal-to-interference ratio (SIR) has attracted significant attention. Compared to the standard success (coverage) probability, the meta distribution provides much more fine-grained information about the network performance. In this paper, we analyze the meta distribution of the SIR in the multi-tier heterogeneous and hybrid networks, where each tier is based on a homogeneous independent Poisson point process model. For the open tiers (the users can associate with any tier) and the closed tiers (the users can only associate with a certain tier), we study the bth moment of the conditional success probability for the typical user and give the beta approximation of the meta distribution from analysis and simulations. Furthermore, we analyze the per-link rate control for open tiers and closed tiers, which answers the question: “how to set the SIR threshold to meet a target reliability?”. We give the approximate value of the SIR threshold to meet a target reliability and show how the value is related to the path loss exponent and densities.
url http://dx.doi.org/10.1155/2020/8856459
work_keys_str_mv AT yuhongsun sirmetadistributionintheheterogeneousandhybridnetworks
AT qinghailiu sirmetadistributionintheheterogeneousandhybridnetworks
AT huawang sirmetadistributionintheheterogeneousandhybridnetworks
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