University of Oulu

S. Iellamo, M. Coupechoux and Z. Khan, "SILP: A Stochastic Imitative Learning Protocol for Multi-Carrier Spectrum Access," in IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 4, pp. 990-1003, Dec. 2019. doi: 10.1109/TCCN.2019.2924925

SILP : a stochastic imitative learning protocol for multi-carrier spectrum access

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Author: Iellamo, Stefano1; Coupechoux, Marceau2; Khan, Zaheer3
Organizations: 1Amadeus, Airlines R&D Unit
2Telecom ParisTech, INFRES Laboratory
3University of Oulu, Centre for Wireless Communications (CWC)
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2 MB)
Persistent link:
Language: English
Published: IEEE Communications Society, 2019
Publish Date: 2020-01-10


Decentralized wireless networks require efficient channel access protocols to enable wireless nodes (WNs) to access dedicated frequency channels without any coordination. In this paper, we develop a distributed spectrum access protocol for the case where the WNs are equipped with multiple radio transceivers. We consider the case where the channels are identical and duly separated so that each of the users’ antenna can access only one of the available channels. To model the competition amongst WNs, we formulate a particular multi-agent multi-carrier spectrum access game, where each WN has to decide at each iteration how many antennas and which frequency channels it has to access. To study the resulting equilibrium, we solve a multi-objective optimization problem and design a bi-level learning algorithm which is proven to converge toward a socially efficient and max–min fair equilibrium state.

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Series: IEEE transactions on cognitive communications and networking
ISSN: 2372-2045
ISSN-E: 2332-7731
ISSN-L: 2372-2045
Volume: 5
Issue: 4
Pages: 990 - 1003
DOI: 10.1109/TCCN.2019.2924925
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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