Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Channel Sensing Order for Distributed Cognitive Radio Networks Using No-Regret Learning

Authors
Li-Wang Li, Jin-Cheng Ge
Corresponding Author
Li-Wang Li
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.138How to use a DOI?
Keywords
sensing order; spatially distributed networks; noncooperative game ;no-regret learning
Abstract
This work investigates the problem of channel sensing order in spatially distributed networks with multi-user. We model this problem into a non-cooperative game and define a generalized interference metric. In order to minimize the aggregate interference and maximize the normalized throughput, we employ the no-regret learning algorithm. However, this algorithm requires information exchange. Therefore, we propose a modified no-regret learning algorithm that does not require information exchange. Through simulations, we evaluate our proposal and compare its performance with other algorithms, and the results obtained are close to the no regret learning algorithm and superior to random selection algorithm.
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Proceedings
3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.138How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li-Wang Li
AU  - Jin-Cheng Ge
PY  - 2016/12
DA  - 2016/12
TI  - Channel Sensing Order for Distributed Cognitive Radio Networks Using No-Regret Learning
BT  - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.138
DO  - https://doi.org/10.2991/icwcsn-16.2017.138
ID  - Li2016/12
ER  -