Cloud-based resource allocation and cooperative transmission in large cellular networks

Jing Li, Dongning Guo

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

1 Scopus citations

Abstract

In a large cellular network where access points can transmit cooperatively, how to successfully identify cooperative opportunities and allocate physical resources are two challenging topics. This work considers cloud-based slow-timescale centralized resource and cooperation management for the downlink of large cellular networks. We propose several scalable convex optimization formulations. We then propose a cooperation and resource management scheme. In particular, the proposed scheme dynamically identifies pairs of access points to cooperate to optimize the overall network utility.

Original languageEnglish (US)
Title of host publication2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
PublisherIEEE
Pages455-462
Number of pages8
ISBN (Electronic)9781538632666
ISBN (Print)978-1538632673
DOIs
StatePublished - Jan 17 2018
Event55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 - Monticello, United States
Duration: Oct 3 2017Oct 6 2017

Publication series

Name55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
Volume2018-January

Other

Other55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
CountryUnited States
CityMonticello
Period10/3/1710/6/17

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Energy Engineering and Power Technology
  • Control and Optimization

Cite this

Li, J., & Guo, D. (2018). Cloud-based resource allocation and cooperative transmission in large cellular networks. In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (pp. 455-462). (55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017; Vol. 2018-January). IEEE. https://doi.org/10.1109/ALLERTON.2017.8262773