ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Laplace Functional Ordering of Point Processes in Large-Scale Wireless Networks
Cited 0 time in scopus Download 28 time Share share facebook twitter linkedin kakaostory
Authors
Junghoon Lee, Cihan Tepedelenlioglu
Issue Date
2018-11
Citation
Wireless Communications and Mobile Computing, v.2018, pp.1-14
ISSN
1530-8669
Publisher
John Wiley & Sons
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1155/2018/4307136
Project Code
18HH7600, (Korea-Japan) International collaboration of 5G mmWave based Wireless Channel Characteristic and Performance Evaluation in High Mobility Environments, Park Juho
Abstract
Stochastic orders on point processes are partial orders which capture notions like being larger or more variable. Laplace functional ordering of point processes is a useful stochastic order for comparing spatial deployments of wireless networks. It is shown that the ordering of point processes is preserved under independent operations such as marking, thinning, clustering, superposition, and random translation. Laplace functional ordering can be used to establish comparisons of several performance metrics such as coverage probability, achievable rate, and resource allocation even when closed form expressions of such metrics are unavailable. Applications in several network scenarios are also provided where tradeoffs between coverage and interference as well as fairness and peakyness are studied. Monte-Carlo simulations are used to supplement our analytical results.
KSP Keywords
Achievable rate, As coverage, Closed-form expressions, Coverage probability, Large-scale wireless networks, Monte-Carlo simulation(MCS), Network scenarios, Partial order, Point process, Stochastic orders, analytical results
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY