Lecture: Semi-Blind Interference Prediction in Wireless Networks
Master data
Title: | Semi-Blind Interference Prediction in Wireless Networks |
Description: | 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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Type: | Registered lecture |
Homepage: | https://dl.acm.org/citation.cfm?id=3127579&CFID=1013214916&CFTOKEN=34652805 |
Event: | 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems (Miami Beach, Florida) |
Date: | 22.11.2017 |
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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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