University of Oulu

Z. Khan and J. J. Lehtomäki, "Interactive Trial and Error Learning Method for Distributed Channel Bonding: Model, Prototype Implementation and Evaluation," in IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 2, pp. 206-223, June 2019. doi: 10.1109/TCCN.2019.2897695

Interactive trial and error learning method for distributed channel bonding : model, prototype implementation and evaluation

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Author: Khan, Zaheer1; Lehtomäki, Janne J.1
Organizations: 1University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.4 MB)
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Language: English
Published: IEEE Communications Society, 2019
Publish Date: 2019-06-03


Channel bonding (CB) has been proposed as a technique to accommodate growing data rate demands in shared spectrum (SS) bands, such as in the 5 GHz unlicensed band. Using CB a wireless user can combine multiple non-overlapping channels into one wide channel. In practice, efficient CB utilization in SS bands can be challenging as diverse owners of networks can deploy and operate heterogeneous technologies in an uncoordinated manner. This paper leverages a game theoretic learning rule for efficient distributed channel/bonding selection. Using the proposed method, each user occasionally measures channels to try out new channel/bonding selections, rejecting those selections that are erroneous in the sense that they do not lead to higher utility. Using both analytical and simulation results, we perform a Nash equilibrium assessment of the proposed method. Using various performance metrics, we analyze and compare the performance of the proposed method with a centralized solution and also with conventional distributed CB selection solutions. To realize a complete over-the-air (OTA) channel/bonding selection solution, we also implement a prototype of the proposed method on the Wireless Open-Access Research Platform (WARP). Performance of the implemented prototype is evaluated by experiments which use real OTA wireless communications.

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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: 2
Pages: 206 - 223
DOI: 10.1109/TCCN.2019.2897695
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is funded by the Infotech Oulu through a grant under the framework of digital solutions in sensing and interactions and from Academy of Finland 6Genesis Flagship (grant 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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