A novel coupled queueing model to control traffic via QoS-aware collision pricing in cognitive radio networks

Changhee Joo, Ness B. Shroff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


We consider a cognitive radio network, where primary users have priority over the spectrum resources, and secondary users can exploit the unused resources through channel sensing. Due to sensing inaccuracy, the secondary traffic may obstruct the primary traffic. A penalty for collision has been used to protect the primary traffic, which is often designed to provide a fixed per-collision compensation or to restrict the collision rate at an acceptable level. In this work, we develop a framework that can protect the primary traffic taking into account the Quality of Service of the primary traffic. In particular, we pay attention to the delay performance, which is determined not only by the collision rate but also by the amount of traffic in both networks. We design a novel model with coupled queues, and successfully incorporate dynamic interactions between the two systems through the standard optimization problem. We also consider the practical requirement of no direct sharing of the system information between the two networks, and develop a close-to-optimal solution of per-collision price and channel sensing under mild assumptions. We evaluate its performance through simulations.

Original languageEnglish
Title of host publicationINFOCOM 2017 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509053360
Publication statusPublished - 2017 Oct 2
Externally publishedYes
Event2017 IEEE Conference on Computer Communications, INFOCOM 2017 - Atlanta, United States
Duration: 2017 May 12017 May 4

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Conference2017 IEEE Conference on Computer Communications, INFOCOM 2017
Country/TerritoryUnited States

Bibliographical note

Funding Information:
This work has been supported in part by the following grants from the National Science Foundation: CNS-1421576, and CNS 1409336, as well Army Research Office Grant W911NF-14-1-0368, and Office of Naval Research Grant N00014-15-1-2166. Also, in part by IITP grant funded by the Korea government (MSIP) (No. B0126-16-1064, Research on Near-Zero Latency Network for 5G Immersive Service), and by the research funding from UNIST (No. 1.160085.01).

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering


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