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
|Author:||Shams Shafigh, Alireza1; Mertikopoulos, Panayotis2; Glisic, Savo1;|
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
|Online Access:||PDF Full Text (PDF, 1.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080733465
Institute of Electrical and Electronics Engineers,
|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.
IEEE transactions on cognitive communications and networking
|Pages:||97 - 111|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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.
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