Publication: Semi-Blind Interference Prediction in W...
Master data
Title: | Semi-Blind Interference Prediction in Wireless Networks |
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Abstract: | Our research investigates the concept of interference prediction as an unprecedented approach for interference management and medium access in wireless networks. This paper is a first step in this direction: it proposes and evaluates a simple interference prediction technique that is based on low-complexity learning. Nodes predict the interference situation they expect to experience in the near future and select the most favorable time slot to start the transmission of a multislot message. The performance gain is evaluated in a small-scale fading environment in terms of link outage and delay against random slot selection. Simulation results show that interference prediction is a promising building block for wireless systems. Additional studies are needed to explore advanced techniques and assess their feasibility. |
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Publication type: | Article in compilation (Authorship) |
Publication date: | 21.11.2017 (Online) |
Published by: |
20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
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ACM Digital Library;
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Title of the series: | ACM MSWIM |
Volume number: | 20 |
First publication: | Yes |
Version: | - |
Page: | pp. 19 - 23 |
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Keine Version vorhanden |
Publication date: | 21.11.2017 |
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eISSN: | - |
DOI: | http://dx.doi.org/10.1145/3127540.3127579 |
Homepage: | https://dl.acm.org/citation.cfm?id=3127579&CFID=1013214916&CFTOKEN=34652805 |
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Authors
Mahin Khushbakht Atiq (internal) |
Udo Schilcher (internal) |
Jorge Friedrich Schmidt (internal) |
Christian Bettstetter (internal) |
Assignment
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
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Peer reviewed |
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