Power management of MIMO network interfaces on mobile systems

Hang Yu, Lin Zhong, Ashutosh Sabharwal

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

High-speed wireless network interfaces are among the most power-hungry components on mobile systems. This is particularly true for multiple-input- multiple-output (MIMO) network interfaces which use multiple RF chains simultaneously. In this paper, we present a novel power management solution for MIMO network interfaces on mobile systems, called antenna management. The key idea is to adaptively disable a subset of antennas and their RF chains to reduce circuit power consumption, when the capacity improvement of using a large number of antennas is small. Antenna management judiciously determines the number of active antennas to minimize energy per bit while satisfying the data rate requirement. This work provides both theoretical framework and system design of antenna management. We first present an algorithm that efficiently solves the problem of minimizing energy per bit and, then offer its 802.11n-compliant system designs. We employ both Matlab-based simulation and prototype-based experiment to validate the energy efficiency benefit of antenna management. The results show that antenna management can achieve 21% one-end energy per bit reduction to the front end of the MIMO network interface, compared to a static MIMO configuration that keeps all antennas active.

Original languageEnglish (US)
Article number5929501
Pages (from-to)1175-1186
Number of pages12
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume20
Issue number7
DOIs
StatePublished - 2012

Keywords

  • Antenna management
  • energy per bit
  • multiple-input-multiple-output (MIMO) network interface
  • power management

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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