NOn-parametric Bayesian channEls cLustering (NOBEL) Scheme for Wireless Multimedia Cognitive Radio Networks

Amjad Ali, Muhammad Ejaz Ahmed, Farman Ali, Nguyen H. Tran, Dusit Niyato, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In wireless multimedia cognitive radio networks (WMCRNs), to optimize multimedia transmissions and scarce wireless spectrum utilization, a multimedia secondary user (MSU) needs to estimate and/or identify the achievable quality of service (QoS)-levels over the available licensed channels. However, due to the lack of signaling information among MSUs and the primary users (PUs) in uncoordinated environments, identification of the achievable QoS-levels on the available licensed channels is a challenging problem and has not yet been fully explored. To address this challenge, we propose a novel NOn-parametric Bayesian channEls cLustering (NOBEL) scheme. In NOBEL, an infinite Gaussian mixture model-based collapsed Gibbs sampler is adopted to identify the achievable QoS-levels over the feature space, i.e., bitrate, packet delay variation, and packet delivery ratio on the PUs' licensed channels. Real trace-driven evaluation results demonstrate that NOBEL outperforms other baseline clustering techniques and guarantee high accuracy from 98% to 99.5%.

Original languageEnglish
Article number8792138
Pages (from-to)2293-2305
Number of pages13
JournalIEEE Journal on Selected Areas in Communications
Volume37
Issue number10
DOIs
Publication statusPublished - 2019 Oct

Bibliographical note

Funding Information:
Manuscript received December 15, 2018; revised April 5, 2019; accepted May 20, 2019. Date of publication August 8, 2019; date of current version September 16, 2019. This work was supported in part by the MSIT (Ministry of Science and ICT), South Korea, under the Information Technology Research Center (ITRC) Support Program (IITP-2019-2017-0-01633), supervised by the Institute for Information & communications Technology Planning & Evaluation (IITP), and in part by the National Research Foundation under Grant 2017R1E1A1A01073742. (Corresponding author: Sangheon Pack.) A. Ali is with the School of Electrical Engineering, Korea University, Seoul 02841, South Korea, and also with the Department of Computer Science, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan (e-mail: amjadali@korea.ac.kr).

Publisher Copyright:
© 1983-2012 IEEE.

Keywords

  • QoS-level quantification
  • Wireless multimedia applications
  • channel clustering
  • multi-channel
  • multimedia CRNs

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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