A Quality-Aware Rendezvous Framework for Cognitive Radio Networks

Hai Liu, Lu Yu, Chung Keung Poon, Zhiyong Lin, Yiu- Wing Leung, Xiaowen Chu

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review


In cognitive radio networks, rendezvous is a fundamental operation by which cognitive users establish communication links. Most of existing works were devoted to shortening the time-to-rendezvous (TTR) but paid little attention to qualities of the channels on which rendezvous is achieved. In fact, qualities of channels, such as resistance to primary users' activities, have a great effect on the rendezvous operation. If users achieve a rendezvous on a low-quality channel, the communication link is unstable and the communication performance is poor. In this case, re- rendezvous is required which results in considerable communication overhead and a large latency. In this paper, we first show that actual TTRs of existing rendezvous solutions increase by 65.40-104.38% if qualities of channels are not perfect. Then we propose a Quality-Aware Rendezvous Framework (QARF) that can be applied to any existing ren-dezvous algorithms to achieve rendezvous on high-quality channels. The basic idea of QARF is to expand the set of available channels by selectively duplicating high-quality channels. We prove that QARF can reduce the expected TTR of any rendezvous algorithm when the expanded ratio $\lambda$ is smaller than the threshold $(-3+\sqrt{1+4(\frac{\sigma}{\mu})^{2}}) / 2$, where $\mu$ and $\sigma$, respectively, are the mean and the standard deviation of qualities of channels. We further prove that QARF can always reduce the expected TTR of Random algorithm by a factor of $1+(\frac{\sigma}{\mu})^{2}$. Extensive experiments are conducted and the results show that QARF can significantly reduce the TTRs of the existing rendezvous algorithms by 10.50-51.05 % when qualities of channels are taken into account.
Original languageEnglish
Title of host publication2022 18th International Conference on Mobility, Sensing and Networking (MSN)
EditorsJavier Gurrola
Number of pages8
ISBN (Electronic)9781665464574
ISBN (Print)9781665464581
Publication statusPublished - 16 Dec 2022
Event2022 18th International Conference on Mobility, Sensing and Networking (MSN) - Guangzhou, China
Duration: 14 Dec 202216 Dec 2022

Publication series

NameProceedings - International Conference on Mobile Ad-hoc and Sensor Networks, MSN


Conference2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Scopus Subject Areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Instrumentation

User-Defined Keywords

  • Channel hop-ping
  • Channel-duplicate
  • Cognitive radio networks
  • Quality-Aware


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