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Energy-efficient interference-aware precoding for the downlink of multi-cell multi-user MIMO systems

  • Fabien Héliot
  • , Yusuf A. Sambo
  • , Muhammad Ali Imran
  • University of Surrey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Energy efficiency (EE) is fast becoming a key performance indicator for designing future wireless communication systems. Equally, precoding/power allocation has proved to be very effective for improving the spectral efficiency (SE) of multi-user (MU) multi-input multi-output (MIMO) communication systems. In a multi-cell environment, other-cell interference (OCI) degrades both the SE and EE performances of the system. We design here an energy efficient OCI-aware precoding/power allocation algorithm for the downlink of MU-MIMO systems by relying on regularized channel inversion and considering a realistic multi-antenna power consumption model. The performance of our proposed scheme is assessed both in presence and absence of OCI and results demonstrate the effectiveness of our approach for mitigating OCI. In addition, results show that our approach improves the EE of the system by saving transmit power in comparison with a traditional SE-based precoding/power allocation approach.

Original languageEnglish
Title of host publicationEuCNC 2014 - European Conference on Networks and Communications
PublisherIEEE Computer Society
ISBN (Print)9781479952809
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 European Conference on Networks and Communications, EuCNC 2014 - Bologna, Italy
Duration: 23 Jun 201426 Jun 2014

Publication series

NameEuCNC 2014 - European Conference on Networks and Communications

Conference

Conference2014 European Conference on Networks and Communications, EuCNC 2014
Country/TerritoryItaly
CityBologna
Period23/06/1426/06/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy efficiency
  • MIMO systems
  • multi-cell
  • precoding
  • realistic power model

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