Linear-regression based performance approximation for millimeter-wave multicell networks with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1261" altimg="si271.svg"><mml:mi>β</mml:mi></mml:math>-Ginibre deployed base stations-Reference-Cited by-同舟云学术

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Linear-regression based performance approximation for millimeter-wave multicell networks with β-Ginibre deployed base stations

Published:2022-06 Issue:2 Volume:8 Page:302-308
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Kwon Taesoo^ORCID,Lee Moon-Sik,Jeon Youngil,LEE HyeonWoo

Funder

Ministry of Science, ICT and Future Planning

Institute for Information and Communications Technology Promotion

Ministry of Science and ICT, South Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference14 articles.

1. Coverage and rate analysis for millimeter-wave cellular networks;Bai;IEEE Trans. Wirel. Commun.,2015

2. Modeling and analyzing millimeter wave cellular systems;Andrews;IEEE Trans. Commun.,2017

3. Bandwidth partitioning and downlink analysis in millimeter wave integrated access and backhaul for 5G;Saha;IEEE Trans. Wirel. Commun.,2018

4. Millimeter wave integrated access and backhaul in 5G: Performance analysis and design insights;Saha;IEEE J. Sel. Areas Commun.,2019

5. Coverage analysis of integrated sub-6GHz-mmwave cellular networks with hotspots;Shi;IEEE Trans. Commun.,2019

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