Energy-efficient adaptive mimo systems leveraging dynamic spare capacity

Hongseok Kim, Chan-Byoung Chae, Gustavo De Veciana, Robert W. Heath

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

12 Citations (Scopus)

Abstract

In this paper, we propose an adaptive technique exploiting transmission mode switching between multiple input multiple output (MIMO) and single input multiple output (SIMO) with antenna selection to conserve mobile terminals' energy. We focus on saving uplink RF transmission energy in cellular systems supporting dynamic best effort (file transfer) traffic loads. The key idea is to judiciously slow down file transfer rates when a base station is underutilized. Due to the DC power components associated with the multiplicity of transmission chains, MIMO may have higher power consumption than SIMO. Thus, considering a desired user perceived target throughput as well as energy-efficiency, we propose an algorithm for mode switching (MIMO/SIMO) and rate selection. Extensive flow-level simulations under dynamic loads and Rayleigh fading channels confirm that the proposed technique can save more than 50 % of the mobile terminals' transmission energy and enable an effective tradeoff between performance and energy conservation.

Original languageEnglish
Title of host publicationCISS 2008, The 42nd Annual Conference on Information Sciences and Systems
Pages68-73
Number of pages6
DOIs
Publication statusPublished - 2008 Sep 22
EventCISS 2008, 42nd Annual Conference on Information Sciences and Systems - Princeton, NJ, United States
Duration: 2008 Mar 192008 Mar 21

Publication series

NameCISS 2008, The 42nd Annual Conference on Information Sciences and Systems

Other

OtherCISS 2008, 42nd Annual Conference on Information Sciences and Systems
CountryUnited States
CityPrinceton, NJ
Period08/3/1908/3/21

Fingerprint

Adaptive systems
Rayleigh fading
Dynamic loads
Base stations
Fading channels
Energy efficiency
Energy conservation
Dynamical systems
Electric power utilization
Throughput
Antennas

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering

Cite this

Kim, H., Chae, C-B., De Veciana, G., & Heath, R. W. (2008). Energy-efficient adaptive mimo systems leveraging dynamic spare capacity. In CISS 2008, The 42nd Annual Conference on Information Sciences and Systems (pp. 68-73). [4558497] (CISS 2008, The 42nd Annual Conference on Information Sciences and Systems). https://doi.org/10.1109/CISS.2008.4558497
Kim, Hongseok ; Chae, Chan-Byoung ; De Veciana, Gustavo ; Heath, Robert W. / Energy-efficient adaptive mimo systems leveraging dynamic spare capacity. CISS 2008, The 42nd Annual Conference on Information Sciences and Systems. 2008. pp. 68-73 (CISS 2008, The 42nd Annual Conference on Information Sciences and Systems).
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Kim, H, Chae, C-B, De Veciana, G & Heath, RW 2008, Energy-efficient adaptive mimo systems leveraging dynamic spare capacity. in CISS 2008, The 42nd Annual Conference on Information Sciences and Systems., 4558497, CISS 2008, The 42nd Annual Conference on Information Sciences and Systems, pp. 68-73, CISS 2008, 42nd Annual Conference on Information Sciences and Systems, Princeton, NJ, United States, 08/3/19. https://doi.org/10.1109/CISS.2008.4558497

Energy-efficient adaptive mimo systems leveraging dynamic spare capacity. / Kim, Hongseok; Chae, Chan-Byoung; De Veciana, Gustavo; Heath, Robert W.

CISS 2008, The 42nd Annual Conference on Information Sciences and Systems. 2008. p. 68-73 4558497 (CISS 2008, The 42nd Annual Conference on Information Sciences and Systems).

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

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Kim H, Chae C-B, De Veciana G, Heath RW. Energy-efficient adaptive mimo systems leveraging dynamic spare capacity. In CISS 2008, The 42nd Annual Conference on Information Sciences and Systems. 2008. p. 68-73. 4558497. (CISS 2008, The 42nd Annual Conference on Information Sciences and Systems). https://doi.org/10.1109/CISS.2008.4558497