On local connectivity of cognitive radio ad hoc networks with directional antennas

Yuanyuan WANG, Qiu WANG, Hong Ning DAI, Haibo WANG, Zibin ZHENG, Jianqing LI

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

4 Citations (Scopus)

Abstract

In conventional cognitive radio ad hoc networks, both primary users (PUs) and secondary users (SUs) are typically equipped with omni-directional antennas, which can cause high interference. As a result, SUs usually suffer from the poor network connectivity due to the high interference caused by PUs. Different from omni-directional antennas, directional antennas can concentrate the transmission on some desired directions and reduce interference on other undesired directions. In this paper, we investigate the network connectivity of a novel cognitive radio ad hoc network with directional antennas (DIR-CRAHNs), in which both PUs and SUs are equipped with directional antennas. We derive the local connectivity (i.e., probability of node isolation) of such DIR-CRAHNs in closed form and numerical results show that the proposed DIR-CRAHNs have higher local connectivity than conventional cognitive radio ad hoc networks.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Communication Systems, ICCS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509034239
DOIs
Publication statusPublished - 26 Jan 2017
Externally publishedYes
Event2016 IEEE International Conference on Communication Systems, ICCS 2016 - Shenzhen, China
Duration: 14 Dec 201616 Dec 2016

Publication series

Name2016 IEEE International Conference on Communication Systems, ICCS 2016

Conference

Conference2016 IEEE International Conference on Communication Systems, ICCS 2016
Country/TerritoryChina
CityShenzhen
Period14/12/1616/12/16

Bibliographical note

Funding Information:
The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3 and partially supported by the National Natural Science Foundation of China under Project No. 61471026. The authors would like to thank Gordon K.-T. Hon for his constructive comments

Publisher Copyright:
© 2016 IEEE.

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