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Analysis of Statistical QoS in Half Duplex and Full Duplex Dense Heterogeneous Cellular Networks

Sadeghi, Alireza and Luvisotto, Michele and Lahouti, Farshad and Zorzi, Michele (2017) Analysis of Statistical QoS in Half Duplex and Full Duplex Dense Heterogeneous Cellular Networks. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210105-133356407

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Abstract

Statistical QoS provisioning as an important performance metric in analyzing next generation mobile cellular network, aka 5G, is investigated. In this context, by quantifying the performance in terms of the effective capacity, we introduce a lower bound for the system performance that facilitates an efficient analysis. Based on the proposed lower bound, which is mainly built on a per resource block analysis, we build a basic mathematical framework to analyze effective capacity in an ultra dense heterogeneous cellular network. We use our proposed scalable approach to give insights about the possible enhancements of the statistical QoS experienced by the end users if heterogeneous cellular networks migrate from a conventional half duplex to an imperfect full duplex mode of operation. Numerical results and analysis are provided, where the network is modeled as a Matern point process. The results demonstrate the accuracy and computational efficiency of the proposed scheme, especially in large scale wireless systems. Moreover, the minimum level of self interference cancellation for the full duplex system to start outperforming its half duplex counterpart is investigated.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/1708.06215arXivDiscussion Paper
ORCID:
AuthorORCID
Luvisotto, Michele0000-0003-3929-9436
Lahouti, Farshad0000-0002-8729-873X
Zorzi, Michele0000-0003-2870-4678
Additional Information:Part of this work has appeared on the Proceedings of the 2016 IEEE International Conference of Communications (ICC).
Subject Keywords:Full Duplex, Heterogeneous Cellular Network, Statistical QoS, 5G
Record Number:CaltechAUTHORS:20210105-133356407
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210105-133356407
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107318
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:05 Jan 2021 22:32
Last Modified:05 Jan 2021 22:32

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