Energy-efficient power control with finite discrete inputs under quality of service constraints

Gozde Ozcan, M. Cenk Gursoy

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

This paper presents an energy-efficient optimal power control policy with finite discrete inputs in the presence of statistical quality of service (QoS) limitations. In particular, an optimization problem is formulated to maximize the energy efficiency (EE) of the system, which is defined as the ratio of the effective capacity achieved with finite discrete inputs to the total power consumption. The circuit power consumption is explicitly considered in the total power expenditure. Subsequently, the optimal power control is derived using fractional programming. The resulting optimal power control strategy is further analyzed in two limiting cases, namely, the extremely stringent QoS constraints and looser QoS constraints. Through numerical results, the EE attained with the proposed optimal power control policy and constant power scheme is compared. Also, the effects of QoS constraints and signaling distribution on the maximum achievable EE are evaluated.

Original languageEnglish (US)
Title of host publication2016 50th Annual Conference on Information Systems and Sciences, CISS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-81
Number of pages6
ISBN (Electronic)9781467394574
DOIs
StatePublished - Apr 26 2016
Event50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States
Duration: Mar 16 2016Mar 18 2016

Publication series

Name2016 50th Annual Conference on Information Systems and Sciences, CISS 2016

Other

Other50th Annual Conference on Information Systems and Sciences, CISS 2016
Country/TerritoryUnited States
CityPrinceton
Period3/16/163/18/16

Keywords

  • Effective capacity
  • Energy efficiency
  • Fading channel
  • Finite discrete inputs
  • MMSE
  • Mutual information
  • Optimal power control
  • QoS constraints

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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