Intercell interference-aware scheduling for delay sensitive applications in C-RAN

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

1 Scopus citations

Abstract

Cloud radio access network (C-RAN) architecture is a new mobile network architecture that enables cooperative baseband processing and information sharing among multiple cells and achieves high adaptability to nonuniform traffic by centralizing the baseband processing resources in a virtualized baseband unit (BBU) pool. In this work, we formulate the utility of each user using a convex delay cost function, and design a twostep scheduling algorithm with good delay performance for the CRAN architecture. In the first step, all users in multiple cells are grouped into small user groups, according to their interference levels and estimated utilities. In the second step, channels are matched to the user groups to maximize the system utility. The performance of our algorithm is further studied via simulations, and the advantages of C-RAN architecture is verified.

Original languageEnglish (US)
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2017-September
ISBN (Electronic)9781509059355
DOIs
StatePublished - Feb 8 2018
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: Sep 24 2017Sep 27 2017

Other

Other86th IEEE Vehicular Technology Conference, VTC Fall 2017
CountryCanada
CityToronto
Period9/24/179/27/17

ASJC Scopus subject areas

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

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    Li, Y., Gursoy, M. C., & Velipasalar, S. (2018). Intercell interference-aware scheduling for delay sensitive applications in C-RAN. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (Vol. 2017-September, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2017.8287907