Energy-efficiency optimization for MIMO-OFDM mobile multimedia communication systems with QoS constraints

Xiaohu Ge, Xi Huang, Yuming Wang, Min Chen, Qiang Li, Tao Han, Cheng Xiang Wang

Research output: Contribution to journalArticlepeer-review

94 Citations (Scopus)

Abstract

It is widely recognized that, in addition to the quality-of-service (QoS), energy efficiency is also a key parameter in designing and evaluating mobile multimedia communication systems, which has catalyzed great interest in recent literature. In this paper, an energy-efficiency model is first proposed for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) mobile multimedia communication systems with statistical QoS constraints. Employing the channel-matrix singular value decomposition (SVD) method, all subchannels are classified by their channel characteristics. Furthermore, the multichannel joint optimization problem in conventional MIMO-OFDM communication systems is transformed into a multitarget single-channel optimization problem by grouping all subchannels. Therefore, a closed-form solution of the energy-efficiency optimization is derived for MIMO-OFDM mobile multimedia communication systems. As a consequence, an energy-efficiency optimized power allocation (EEOPA) algorithm is proposed to improve the energy efficiency of MIMO-OFDM mobile multimedia communication systems. Simulation comparisons validate that the proposed EEOPA algorithm can guarantee the required QoS with high energy efficiency in MIMO-OFDM mobile multimedia communication systems.

Original languageEnglish
Article number6762913
Pages (from-to)2127-2138
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume63
Issue number5
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Energy efficiency
  • MIMO-OFDM
  • multimedia communications
  • performance analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Computer Networks and Communications
  • Applied Mathematics

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