Energy Efficiency Scheme with Cellular Partition Zooming for Massive MIMO Systems

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

17 Citations (Scopus)

Abstract

Massive Multiple-Input Multiple-Output (Massive MIMO) has been realized as a promising technology element for 5G wireless mobile communications, in which Spectral Efficiency (SE) and Energy Efficiency (EE) are two critical issues. Prior estimates have indicated that 57% energy consumption of cellular system comes from the operator, mostly used to feed the base station (BS). Yet previously, the User Equipment(UE) is focused on while studying the EE issue instead of BS. In this case, in this paper, an EE scheme that focuses on the optimization of BS energy consumption is proposed. Apart from the previous studies, which divides the coverage area by circuit section, the coverage area is divided by fan section with the help of Propagation theory for zoom in or zoom out. In the proposal, transmission model and parameters related to EE is deduced first. Afterwards, the Cellular Partition Zooming (CPZ) scheme is proposed where the BS can zoom in to maintain the coverage area or zoom out to save the energy. Comprehensive simulation results demonstrate that CPZ presents better EE performance with negligible impact on the transmission rate.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages266-271
Number of pages6
ISBN (Print)9781479982615
DOIs
Publication statusPublished - 2015 Apr 29
Event2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015 - Taichung, Taiwan, Province of China
Duration: 2015 Mar 252015 Mar 27

Other

Other2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015
CountryTaiwan, Province of China
CityTaichung
Period15/3/2515/3/27

    Fingerprint

Keywords

  • cell coverage area
  • Cellular networks
  • energy efficiency
  • massive MIMO
  • power allocation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Zhang, D., Yu, K., Zhou, Z., & Sato, T. (2015). Energy Efficiency Scheme with Cellular Partition Zooming for Massive MIMO Systems. In Proceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015 (pp. 266-271). [7098270] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISADS.2015.21