[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3127540.3127546acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Rendezvous with Utilities in Cognitive Radio Networks

Published: 21 November 2017 Publication History

Abstract

In constructing the cognitive radio networks, a fundamental process is to establish a communication link on a same channel for every two users, which is referred to as rendezvous. Most studies focus on minimizing the time to rendezvous after they start the process synchronously or asynchronously. However, to the best of our knowledge, no work has considered the possibility that the users may achieve different utilities when they rendezvous on different channels for communication. The utility originates from the quality of the specific channel that two users rendezvous on, and it is influenced by the channel's bandwidth, transmission rate, stability, etc. In this paper, we formally formulate the problem of maximizing rendezvous utilities and propose a novel method by extending the channels to promote the users to achieve higher rendezvous utilities. We propose channel extension algorithms for both symmetric and asymmetric rendezvous scenarios, where the users may have the same or different sets of rendezvous channels respectively. These algorithms are built on the construction of Disjoint Relaxed Difference Set (DRDS) in [5], and we show the efficiency of achieving rendezvous on the channel with high utility theoretically. Moreover, we conduct thorough simulations to evaluate our algorithms and the results also corroborate our theoretical analyses.

References

[1]
Ian F Akyildiz, Won-Yeol Lee, Mehmet C Vuran, and Shantidev Mohanty. 2006. NeXt generation/dynamic spectrum access/ cognitive radio wireless networks: A survey. Computer networks (2006).
[2]
Guey-Yun Chang and Jen-Feng Huang. 2013. A fast rendezvous channel-hopping algorithm for cognitive radio networks. IEEE Communications Letters (2013).
[3]
Charles J Colbourn and Jeffrey H Dinitz. 2006. Handbook of combinatorial designs. CRC press.
[4]
Zhaoquan Gu, Qiang-Sheng Hua, and Weiguo Dai. 2014. Fully distributed algorithms for blind rendezvous in cognitive radio networks. In MobiHoc.
[5]
Zhaoquan Gu, Qiang-Sheng Hua, Yuexuan Wang, and Francis CM Lau. 2013. Nearly optimal asynchronous blind rendezvous algorithm for cognitive radio networks. In SECON.
[6]
Zhaoquan Gu, Haosen Pu, Qiang-Sheng Hua, and Francis C M Lau. 2015. Improved rendezvous algorithms for heterogeneous cognitive radio networks. In INFOCOM.
[7]
Zhiyong Lin, Hai Liu, Xiaowen Chu, and Yiu-Wing Leung. 2013. Enhanced jump-stay rendezvous algorithm for cognitive radio networks. IEEE Communications Letters (2013).
[8]
Hai Liu, Zhiyong Lin, Xiaowen Chu, and Yiu-Wing Leung. 2012. Jump-stay rendezvous algorithm for cognitive radio networks. IEEE Transactions on Parallel and Distributed Systems (2012).
[9]
Barbeau Michel, Cervera Gimer, Garcia-Alfaro Joaquin, and Kranakis Evangelos. 2014. A new analysis of the cognitive radio jump-stay algorithm under the asymmetric model. In ICC.
[10]
Vitalio Alfonso Reguera, Erik Ortiz Guerra, Richard Demo Souza, Evelio MG Fernandez, and Glauber Brante. 2014. Short channel hopping sequence approach to rendezvous for cognitive networks. IEEE Communications Letters (2014).
[11]
Ching-Chan Wu and Shan-Hung Wu. 2013. On bridging the gap between homogeneous and heterogeneous rendezvous schemes for cognitive radios. In MobiHoc.
[12]
Shan-Hung Wu, Ching-Chan Wu, Wing-Kai Hon, and Kang G Shin. 2014. Rendezvous for heterogeneous spectrum-agile devices. In INFOCOM.
[13]
Bo Yang, Meng Zheng, and Wei Liang. 2016. A time-efficient rendezvous algorithm with a full rendezvous degree for heterogeneous cognitive radio networks. In INFOCOM.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
MSWiM '17: Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
November 2017
340 pages
ISBN:9781450351621
DOI:10.1145/3127540
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 November 2017

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. cognitive radio network
  2. rendezvous
  3. utility

Qualifiers

  • Research-article

Conference

MSWiM '17
Sponsor:

Acceptance Rates

MSWiM '17 Paper Acceptance Rate 29 of 142 submissions, 20%;
Overall Acceptance Rate 398 of 1,577 submissions, 25%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 71
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)1
Reflects downloads up to 03 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media