Resource management in 5G: A tale of two timescales

Fei Teng, Dongning Guo

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

6 Scopus citations

Abstract

To attain the targeted data rates of next generation (5G) cellular networks requires dense deployment of small cells, in addition to macro cells which provide wide coverage. Dynamic radio resource management (RRM) is crucial to the success of such heterogeneous networks due to much more pronounced traffic and interference variations in small cells. This work proposes a framework for RRM organized according to two timescales, which includes 1) centralized RRM on a second/minute timescale corresponding to typical durations of user sessions, and 2) distributed RRM on a millisecond timescale corresponding to typical latency requirements. An optimization problem is formulated for the slower timescale with consideration of (distributed) opportunistic scheduling on the faster timescale. An iterative algorithm is developed to solve the optimization problem efficiently for a small cluster of cells. Numerical results demonstrate advantages of the dual-timescale RRM framework.

Original languageEnglish (US)
Title of host publicationConference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1041-1045
Number of pages5
Volume2016-February
ISBN (Electronic)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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