University of Oulu

A. Shams Shafigh, P. Mertikopoulos, S. Glisic and Y. Michael, "Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism," in IEEE Transactions on Cognitive Communications and Networking, vol. 3, no. 1, pp. 97-111, March 2017. doi: 10.1109/TCCN.2017.2681081

Semi-cognitive radio networks : a novel dynamic spectrum sharing mechanism

Saved in:
Author: Shams Shafigh, Alireza1; Mertikopoulos, Panayotis2; Glisic, Savo1;
Organizations: 1CWC-NS Networking Group, University of Oulu, 90570 Oulu, Finland
2French National Center for Scientific Research, University of Grenoble Alpes, F-38000 Grenoble, France
3Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611 USA
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.5 MB)
Persistent link:
Language: English
Published: IEEE Communications Society, 2017
Publish Date: 2018-08-07


In conventional cognitive radio networks, channels that are in use by opportunistic secondary users (SUs) can be recaptured by the network’s licensed primary users (PUs) at will, thus interrupting the connectivity of the former. To compensate for this, we propose here a semi-cogntive radio network (SCRN) paradigm where PUs are constrained to first use all free channels in the network before being allowed to capture channels that are currently in use by SUs. By imposing a monetary (or other) penalty to the network’s secondary spectrum owners when opportunistic channel use becomes excessive, this additional constraint only induces a slight drop in the PUs’ performance while offering significant benefits to the network’s SUs. In this paper, we provide a game-theoretic analysis of such systems and we derive both centralized and decentralized adaptive algorithms that allow the system control process to converge to a stable equilibrium state. Our numerical results show that, with the same channel efficiency, SCRNs provide increased profits to the primary network and significantly reduced interruption rates to the secondary network.

see all

Series: IEEE transactions on cognitive communications and networking
ISSN: 2372-2045
ISSN-E: 2332-7731
ISSN-L: 2372-2045
Volume: 3
Issue: 1
Pages: 97 - 111
DOI: 10.1109/TCCN.2017.2681081
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The work of S. Glisic was partially supported by project 24007101, Taseen käitto CWC-NS-Glisic-Menot. P. Mertikopoulos was partially supported by the French National Research Agency (ANR) grant ORACLESS (ANR-16-CE33-0004-01). A. Shams Shafigh was partially supported by project 24003379, Infotech GS Doctoral Student Positions. The work of Y. Fang was partially supported by the U.S. National Science Foundation under grant CNS-1343356.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.