University of Oulu

Khan, Z., Lehtomaki, J., Scott, S., Han, Z., Krunz, M., Marshall, A. (2017) Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding. IEEE Transactions on Cognitive Communications and Networking, 3 (3), 267-281. doi:10.1109/TCCN.2017.2709753

Distributed and coordinated spectrum access methods for heterogeneous channel bonding

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Author: Khan, Zaheer1; Lehtomäki, Janne1; Scott, Simon1;
Organizations: 1University of Oulu
2University of Houston
3University of Arizona
4University of Liverpool
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
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Language: English
Published: IEEE Communications Society, 2017
Publish Date: 2018-06-04


Channel bonding (CB) is a technique that enables a wireless link to combine channels and achieve higher data rates. In this paper, competition for efficient spectrum access among autonomous users with heterogeneous CB capabilities is considered. Specifically, we propose distributed and coordinated channel/bonding selection methods under signal-to-interference-plus-noise ratio (SINR) and collision-protocol models. In our methods, users utilize only limited feedback to distributively arrive at CB selections that minimize their probability of conflict. The proposed method utilizes a novel channel quality metric, which is based on the ratio of noise power to the sum of interference and noise power. It is shown that CB can lead to higher data rates, and it is most beneficial when users have a high SINR. However, it is also shown that as the ratio of users to available channels increases, CB performance degrades. Our results show that under certain scenarios, the proposed coordinated and distributed channel/bonding selection schemes help users converge fast to conflict-free channel selections as compared to the other channel/bonding selection schemes. Moreover, the proposed schemes result in considerably superior performance to existing CB schemes in terms of network data rate.

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Series: IEEE transactions on cognitive communications and networking
ISSN: 2372-2045
ISSN-E: 2332-7731
ISSN-L: 2372-2045
Volume: 3
Issue: 3
Pages: 267 - 281
DOI: 10.1109/TCCN.2017.2709753
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © 2017 IEEE. Published in this repository with the kind permission of the publisher.