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학술지 Laplace Functional Ordering of Point Processes in Large-Scale Wireless Networks
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저자
이정훈, Cihan Tepedelenlioglu
발행일
201811
출처
Wireless Communications and Mobile Computing, v.2018, pp.1-14
ISSN
1530-8669
출판사
John Wiley & Sons
DOI
https://dx.doi.org/10.1155/2018/4307136
협약과제
18HH7600, 5G초고주파 기반 고속이동체 환경에서의 채널특성 및 성능평가 국제 공동연구, 박주호
초록
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 제안 키워드
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