Energy-efficient on-off power control of femto-cell base stations for cooperative cellular networks

Woongsup Lee, Bang Chul Jung

Research output: Contribution to journalArticlepeer-review

Abstract

Improving energy efficiency (EE) of mobile communication systems (MCSs) has been considered a key aim in recent years, and has been the subject of intense research interest. One of the simplest yet most powerful ways to increase the EE is to turn off redundant communication entities whose operation does not greatly affect the overall performance of the MCS. In this paper, we propose a novel on-off power control scheme for femto-cell base stations (FBSs) considering cooperative transmission in which multiple FBSs collaborate on the same data transmission. In the proposed scheme, the operation of the redundant FBSs is halted in an adaptive manner. For the proper determination of redundant FBSs with low computational complexity, we propose using the level of contribution (LOC), which specifies the importance of a given FBS in the cooperative transmission. Redundant FBSs are chosen based on their LOC value, and these FBSs are turned off in order to reduce the power consumption of MCSs while minimizing the degradation of the overall throughput of cooperative transmissions. The performance of the proposed scheme is verified through extensive simulations, which shows that near-optimal performance can be achieved without excessive computations.

Original languageEnglish
Article number356
JournalApplied Sciences (Switzerland)
Volume6
Issue number11
DOIs
Publication statusPublished - 2016 Nov 16

Bibliographical note

Funding Information:
This research was supported by "Cooperative Research Program for Agriculture Science & Technology Development (Project title: Development of swine management model with animal-metric for livestock welfare, Project No. PJ0105412015)" Rural Development Administration, Republic of Korea, and also supported by the Basic Science Research Program through the NRF funded by the Ministry of Science, ICT & Future Planning (MSIP) (NRF-2016R1A2B4014834). This work was also supported by Chungnam National University.

Publisher Copyright:
© 2016 by the authors; licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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