Resilient large-scale cognitive radio ad hoc networking using path-time codes

Yi Chi Chen, I. Wei Lai, Kwang Cheng Chen

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

Abstract

Cognitive radio ad hoc networks (CRAHNs) emerge as a spectrum efficient networking technology to enable autonomous machine-to-machine communication among massive number of IoT devices. However, spectrum sharing results in opportunistic links and CRAHN becomes a kind of opportunistic networks. To reduce latency in CRAHN and to achieve overall spectrum efficiency by avoiding tremendous feedback signaling, CRAHNs of open-loop physical layer transmission open a new avenue under massive operations. The new technology challenge associated with such new CRAHNs lies in error control with only local networking information without relying on feedback control over each opportunistic link. Path-time codes virtually realizing multi-input-multi-output over network layer have been innovated to resolve such a dilemma. However, effective multipath routing considering interference remains unclear. In this paper, be taking network topological factors and interference into account, we analytically derive SINR approximations to design power control and multi-path greedy routing. By stochastic geometry analysis, we also show that the resilient operation for large-scale CRAHNs can be facilitated with the aid of path-time codes.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - 2017 Jul 28
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 2017 May 212017 May 25

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period17/5/2117/5/25

Keywords

  • cognitive radio ad hoc networks (CRAHNs)
  • Internet of things (IoT)
  • machine-to-machine communication
  • path-time code (PTC)
  • Poisson point process (PPP)
  • space-time code
  • stochastic geometry
  • virtual multiple-input multiple-output (MIMO)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Chen, Y. C., Lai, I. W., & Chen, K. C. (2017). Resilient large-scale cognitive radio ad hoc networking using path-time codes. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 [7996413] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996413