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Interference Model Similarity Index and Its Applications to Millimeter-Wave Networks
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering.ORCID iD: 0000-0001-6737-0266
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering.ORCID iD: 0000-0001-9810-3478
2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 17, no 1, p. 71-85Article in journal (Refereed) Published
Abstract [en]

In wireless communication networks, interference models are routinely used for tasks, such as performance analysis, optimization, and protocol design. These tasks are heavily affected by the accuracy and tractability of the interference models. Yet, quantifying the accuracy of these models remains a major challenge. In this paper, we propose a new index for assessing the accuracy of any interference model under any network scenario. Specifically, it is based on a new index that quantifies the ability of any interference model in correctly predicting harmful interference events, that is, link outages. We consider specific wireless scenario of both conventional sub-6 GHz and millimeter-wave networks and demonstrate how our index yields insights into the possibility of simplifying the set of dominant interferers, replacing a Nakagami or Rayleigh random fading by an equivalent deterministic channel, and ignoring antenna sidelobes. Our analysis reveals that in highly directional antenna settings with obstructions, even simple interference models (such as the classical protocol model) are accurate, while with omnidirectional antennas, more sophisticated and complex interference models (such as the classical physical model) are necessary. Our new approach makes it possible to adopt the simplest interference model of adequate accuracy for every wireless network.

Place, publisher, year, edition, pages
IEEE, 2018. Vol. 17, no 1, p. 71-85
Keywords [en]
Wireless communications, interference model, performance analysis, millimeter-wave networks
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-222454DOI: 10.1109/TWC.2017.2762667ISI: 000422945400006Scopus ID: 2-s2.0-85032305190OAI: oai:DiVA.org:kth-222454DiVA, id: diva2:1181635
Note

QC 20180209

Available from: 2018-02-09 Created: 2018-02-09 Last updated: 2018-02-20Bibliographically approved

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Shokri-Ghadikolaei, HosseinFischione, Carlo

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