Scheduling in D2D underlaid cellular networks with deadline constraints

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

3 Scopus citations

Abstract

In this paper, we develop a scheduling algorithm for device-to-device (D2D) cellular networks with deadline constraints via the convex delay cost approach. At the beginning of each time slot, the algorithm allocates all available channels to the users, and each user can choose to transmit in different modes. After characterizing the transmission rates and defining the utility for each possible scheduling decision, we propose power optimization algorithms to maximize the utility for each type of decision. Our scheduling algorithm allocates each channel according to the decision that provides the maximum utility value, and it manages mode selection, channel allocation and power optimization. Via simulation results, we discuss the parameter selection for our algorithm and verify the performance improvements by allowing D2D users to share channels with other users.

Original languageEnglish (US)
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
StatePublished - Jul 2 2016
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: Sep 18 2016Sep 21 2016

Publication series

NameIEEE Vehicular Technology Conference
Volume0
ISSN (Print)1550-2252

Other

Other84th IEEE Vehicular Technology Conference, VTC Fall 2016
CountryCanada
CityMontreal
Period9/18/169/21/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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  • Cite this

    Li, Y., Cenk Gursoy, M., & Velipasalar, S. (2016). Scheduling in D2D underlaid cellular networks with deadline constraints. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings [7881211] (IEEE Vehicular Technology Conference; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2016.7881211