Energy management of dense wireless heterogeneous networks over slow timescales

Binnan Zhuang*, Dongning Guo, Michael L Honig

*Corresponding author for this work

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

5 Scopus citations

Abstract

Future cellular networks are expected to be heterogeneous with dense deployments of base transceiver stations and access points (wireless nodes). Energy consumption and interference management are two major issues in such networks. The goal of this work is to develop a framework for deciding if particular nodes should be powered off to reduce interference and save energy. This is envisioned to occur over slow time-scales, i.e., on the order of minutes. The active nodes should provide a target quality of service (QoS) to all mobile users. A network utility maximization problem is formulated, which takes as input the network topology and aggregate demand information, and optimizes over the set of active nodes and the assignment of demands to the nodes. Centralized and distributed algorithms are presented that search for a local optimum, and numerical results are presented to illustrate the performance.

Original languageEnglish (US)
Title of host publication2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
Pages26-32
Number of pages7
DOIs
StatePublished - Dec 1 2012
Event2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 - Monticello, IL, United States
Duration: Oct 1 2012Oct 5 2012

Publication series

Name2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012

Other

Other2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
CountryUnited States
CityMonticello, IL
Period10/1/1210/5/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Zhuang, B., Guo, D., & Honig, M. L. (2012). Energy management of dense wireless heterogeneous networks over slow timescales. In 2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012 (pp. 26-32). [6483195] (2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012). https://doi.org/10.1109/Allerton.2012.6483195