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Meta distribution of SIR in the Internet of Things modelled as a Euclidean matching
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Kartun-Giles, Alexander P., Koufos, Konstantinos and Kim, Sunwoo (2022) Meta distribution of SIR in the Internet of Things modelled as a Euclidean matching. In: IEEE International Conference on Communications, Seoul, South Korea, 16–20 May 2022. Published in: 2022 IEEE International Conference on Communications Workshops (ICC Workshops) ISBN 9781665426718. doi:10.1109/ICCWorkshops53468.2022.9882169 ISSN 2694-2941.
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Official URL: https://doi.org/10.1109/ICCWorkshops53468.2022.988...
Abstract
The Poisson bipolar model considers user-base station pairs distributed at random on a flat domain, similar to matchsticks scattered onto a table. Though this is a simple and tractable setting in which to study dense networks, it doesn't properly characterise the stochastic geometry of user-base station interactions in some dense deployment scenarios, which may involve short and long range links, with some paired very nearby optimally, and others sub-optimally due to local crowding. Since the users will pair one-to-one with base stations, we can consider using the popular bipartite Euclidean matching (BEM) from spatial combinatorics, and study the corresponding (meta) distribution of the signal-to-interference-ratio (SIR). This provides detailed information about the proportion of links in the network meeting a target reliability constraint. We can then observe via comparison the impact of taking into account the variable/correlated short-range distances between the transmitter-receiver pairs on the communication statistics. We illustrate and quantify how the widely-accepted bipolar model fails to capture the network-wide reliability of communication in a typical ultra-dense setting based on a binomial point process. We also show how assuming a Gamma distribution for link distances may be a simple improvement on the bipolar model. Overall, BEMs provide good grounds for understanding more sophisticated pairing features in ultra-dense networks.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Wireless communication systems, Matching theory, Stochastic geometry, Internet of things | ||||||
Journal or Publication Title: | 2022 IEEE International Conference on Communications Workshops (ICC Workshops) | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9781665426718 | ||||||
ISSN: | 2694-2941 | ||||||
Official Date: | 12 September 2022 | ||||||
Dates: |
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DOI: | 10.1109/ICCWorkshops53468.2022.9882169 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 25 March 2022 | ||||||
Date of first compliant Open Access: | 29 March 2022 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | IEEE International Conference on Communications | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Seoul, South Korea | ||||||
Date(s) of Event: | 16–20 May 2022 | ||||||
Related URLs: | |||||||
Open Access Version: |
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