SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks

The meta-distribution provides more fine-grained information on the signal-to-interference ratio (SIR) compared to the SIR distribution at the typical user. This paper studies the SIR meta-distribution in heterogeneous cellular networks (HCNs) for JT-DPB with two types of hybrid automatic repeat req...

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Main Authors: Xinlei Yu, Qimei Cui, Martin Haenggi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8727506/
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author Xinlei Yu
Qimei Cui
Martin Haenggi
author_facet Xinlei Yu
Qimei Cui
Martin Haenggi
author_sort Xinlei Yu
collection DOAJ
description The meta-distribution provides more fine-grained information on the signal-to-interference ratio (SIR) compared to the SIR distribution at the typical user. This paper studies the SIR meta-distribution in heterogeneous cellular networks (HCNs) for JT-DPB with two types of hybrid automatic repeat request (HARQ) techniques, where JT-DPB is a general scheme for base station cooperation that combines joint transmission (JT) and dynamic point blanking (DPB). This paper also considers two types of typical users-the general user and the worst-case user (the typical user located at the Voronoi vertex in a single-tier network). For the Type-II HARQ, a simplified network model is proposed, which leads to a tractable and accurate approach for the SIR meta-distribution analysis. The analytical results for the Type-I HARQ and Type-II HARQ are presented.
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spelling doaj.art-b3f7a671b6654bdca28e837bebc0b72e2022-12-21T23:02:42ZengIEEEIEEE Access2169-35362019-01-017736177362610.1109/ACCESS.2019.29201518727506SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular NetworksXinlei Yu0https://orcid.org/0000-0003-2620-8080Qimei Cui1Martin Haenggi2National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, ChinaNational Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, ChinaDepartment of Electrical Engineering, University of Notre Dame, IN, USAThe meta-distribution provides more fine-grained information on the signal-to-interference ratio (SIR) compared to the SIR distribution at the typical user. This paper studies the SIR meta-distribution in heterogeneous cellular networks (HCNs) for JT-DPB with two types of hybrid automatic repeat request (HARQ) techniques, where JT-DPB is a general scheme for base station cooperation that combines joint transmission (JT) and dynamic point blanking (DPB). This paper also considers two types of typical users-the general user and the worst-case user (the typical user located at the Voronoi vertex in a single-tier network). For the Type-II HARQ, a simplified network model is proposed, which leads to a tractable and accurate approach for the SIR meta-distribution analysis. The analytical results for the Type-I HARQ and Type-II HARQ are presented.https://ieeexplore.ieee.org/document/8727506/JT-DPBCoMPHARQmeta-distributionlink reliabilityHetNets
spellingShingle Xinlei Yu
Qimei Cui
Martin Haenggi
SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks
IEEE Access
JT-DPB
CoMP
HARQ
meta-distribution
link reliability
HetNets
title SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks
title_full SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks
title_fullStr SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks
title_full_unstemmed SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks
title_short SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks
title_sort sir meta distribution for spatiotemporal cooperation in poisson cellular networks
topic JT-DPB
CoMP
HARQ
meta-distribution
link reliability
HetNets
url https://ieeexplore.ieee.org/document/8727506/
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AT qimeicui sirmetadistributionforspatiotemporalcooperationinpoissoncellularnetworks
AT martinhaenggi sirmetadistributionforspatiotemporalcooperationinpoissoncellularnetworks