Channel Sensing Order for Distributed Cognitive Radio Networks Using No-Regret Learning
Li-Wang Li, Jin-Cheng Ge
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.138How to use a DOI?
- sensing order; spatially distributed networks; noncooperative game ;no-regret learning
- 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.
- 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 -