Abstract
In this paper, a novel spectrum allocation approach for cognitive radio networks (CRNs) is proposed. Based on a measure of inference performance as well as on a measure of quality-of-service, the association between secondary users (SUs) in the network and frequency bands licensed to primary users (PUs) is investigated. The problem is formulated as a matching game between SUs and PUs. In this game, SUs employ hypothesis testing to detect PUs' signals and, eventually, rank them based on the logarithm of the a posteriori probability ratio. A valuation that captures the ranking metric and rate over the PU-owned frequency bands is proposed to PUs in the form of credit or rewards by SUs. Using this proposal, a PU evaluates a utility function that it uses to build its association preferences. A distributed algorithm that allows both SUs and PUs to interact and self-organize into a stable and optimal matching is presented. Simulation results show that the proposed algorithm can improve: i) the sum of SUs' rates by up to 20% and 60% relative to the deferred acceptance algorithm and random channel allocation approach respectively, and ii) the sum of PUs' payoffs by up to 25% compared to the deferred acceptance algorithm. The results also show an improved convergence time.
Original language | English (US) |
---|---|
Title of host publication | 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 466-471 |
Number of pages | 6 |
ISBN (Electronic) | 9781467394574 |
DOIs | |
State | Published - Apr 26 2016 |
Event | 50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States Duration: Mar 16 2016 → Mar 18 2016 |
Other
Other | 50th Annual Conference on Information Systems and Sciences, CISS 2016 |
---|---|
Country | United States |
City | Princeton |
Period | 3/16/16 → 3/18/16 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems