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Analysis of Downlink Uplink Decoupled Dense Heterogeneous Cellular Network based on User Association using Multi-Slope Path Loss ModelALI, S.![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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Author keywords
cellular networks, probability distribution, propagation losses, stochastic processes, uplink
References keywords
uplink(13), link(12), networks(11), communication(10), cellular(10), path(7), loss(7), communications(7), analysis(7), propagation(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2019-05-31
Volume 19, Issue 2, Year 2019, On page(s): 45 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.02006
Web of Science Accession Number: 000475806300006
SCOPUS ID: 85066334149
Abstract
Keeping in consideration the expected need of node densification of heterogeneous cellular networks in near future, it is imperative that more accurate path loss models be used when analyzing heterogeneous cellular networks performance in terms of user equipment association probability, coverage probability and spectral efficiency. In this paper, we have derived the generalized user equipment association probabilities expressions of a two-tier Dense Heterogeneous Cellular Network incorporating Downlink Uplink Decoupled technique using multi-slope path loss model, which incorporates the effect of physical environment on the path loss based on separation between transmitter and receiver. For analyzing network performance, we have considered dual-slope and tri-slope path loss models as special cases. The derived analytical expressions have been validated through network simulations and found in good agreement. The results have also been compared with conventional single-slope path loss model and it has been found that the decoupled uplink downlink association probability is higher when incorporating multi-slope path loss model as compared to single-slope path loss model. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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