On channel allocation of directional wireless networks using multiple channels

Hong-Ning Dai, Hao Wang, Hong Xiao

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

Abstract

This paper investigates the channel allocation problem in multi-channel wireless networks with directional antennas. In particular, we propose a general analytical framework on the number of channels, in which we consider a new directional antenna model. This antenna model is more general than existing antenna models since other existing antenna models can be regarded as a special case of our model. Besides, it can accurately depict directional antenna with consideration of side-lobes and back-lobes. Moreover, we derive the upper bounds on the number of channels of such networks to ensure collision-free communications. Our results are also insightful to the network design and network deployment.

Original languageEnglish
Title of host publicationProceedings of the 11th International Network Conference, INC 2016
EditorsSergej Alekseev, Paul Dowland, Bogdan Ghita, Oliver Schneider
Place of PublicationFrankfurt, Germany
PublisherCentre for Security, Communications and Network Research
Pages43-48
Number of pages6
ISBN (Electronic)9781841024103
Publication statusPublished - 19 Jul 2016
Event11th International Network Conference, INC 2016 - Frankfurt, Germany
Duration: 19 Jul 201621 Jul 2016
https://www.cscan.org/?page=openaccess&eid=18 (Conference proceedings)

Publication series

NameProceedings of the International Network Conference, INC

Conference

Conference11th International Network Conference, INC 2016
Country/TerritoryGermany
CityFrankfurt
Period19/07/1621/07/16
Internet address

Scopus Subject Areas

  • Computer Science Applications
  • Software
  • Computer Networks and Communications
  • Signal Processing

User-Defined Keywords

  • Directional communications
  • Multiple channels
  • Wireless networks

Fingerprint

Dive into the research topics of 'On channel allocation of directional wireless networks using multiple channels'. Together they form a unique fingerprint.

Cite this