Dovelos, K;
Toni, L;
Frossard, P;
(2017)
Finite length performance of random MAC strategies.
In:
Proceedings of the 2017 IEEE International Conference on Communications (ICC).
IEEE: Paris, France.
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Abstract
The Internet of Things (IoT) is fueling innovation in nearly every part of our lives. From smart homes, cars, and cities, the Internet of Things is creating a more convenient, secure, intelligent, and personalized experience. While for any final user this IoT vision is a substantial innovation step, for communication providers is a compelling thread with massive number of devices connected to the Internet. Multiple connected devices sharing common wireless resources might create interference if they access the channel simultaneously. Medium access control protocols generally regulate the access of the devices to the shared channel to limit signal interference. In particular, irregular repetition slotted ALOHA (IRSA) techniques can achieve high-throughput performance when interference cancellation methods are adopted to recover from collisions. In this work, we study the finite length performance of IRSA schemes by building on the analogy between successive interference cancellation and iterative belief-propagation on erasure channels. We use a novel combinatorial derivation based on the matrix-occupancy theory to compute the error probability and we validate our method with simulation results.
Type: | Proceedings paper |
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Title: | Finite length performance of random MAC strategies |
Event: | 2017 IEEE International Conference on Communications (ICC) |
ISBN-13: | 9781467389990 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ICC.2017.7997448 |
Publisher version: | http://doi.org/10.1109/ICC.2017.7997448 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Silicon carbide, Iterative decoding, Error probability, Interference cancellation, Media Access Protocol, Decoding |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/1572950 |
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