A downlink power control algorithm for long-term energy efficiency of small cell network

Beom Kwon, Seonghyun Kim, Hojae Lee, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Recently, small cells have been densely deployed in hot spots and overlaid with macro cells in order to guarantee the quality of service for voluminous multimedia data. For a small cell network (SCN), the long-term energy efficiency is one of the most challenging issues for conserving energy while achieving link capacity over the air-interface. In this paper, we present a novel downlink power control scheme to maximize the long-term energy efficiency over a time division multiple access system, which includes multiple small cells and a central controller. Toward this goal, we formulate a long-term energy efficiency optimization problem by defining a long-term energy efficiency metric and performing an iterative algorithm to obtain optimal solutions in real-time via fast convergence. The simulation results show that the proposed metric is very effective at improving the long-term energy efficiency and conserving 8.1 % of the energy on average when compared to a conventional metric. In addition, it is verified that the proposed metric is more effective for an SCN, in particular, when the link capacity is severely degraded due to inter-cell interference.

Original languageEnglish
Pages (from-to)2223-2236
Number of pages14
JournalWireless Networks
Issue number7
Publication statusPublished - 2015 Oct 29

Bibliographical note

Funding Information:
This research was supported by the MSIP (Ministry of Science, ICT & Future Planning), Korea, under the C-ITRC (Convergence Information Technology Research Center) support program (NIPA-2014-H0401-14-1006) supervised by the NIPA (National IT Industry Promotion Agency). This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2A10011764).

Publisher Copyright:
© 2015, Springer Science+Business Media New York.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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