DANCE 


Vol. 38,  No. 12, pp. 1135-1144, Dec.  2013


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  Abstract

Deploying small cells is a reliable and influential solution to handle the skyrocketing traffic increase in the cellular network, and the small cell technology is evolving to ultra-dense network (UDN). In this paper we propose a small cell on/off algorithm with a simple but essential framework composed of access point (AP), user equipment (UE), and small cell controller (SCC). We propose Device-Assisted Networking for Cellular grEening (DANCE) algorithms that save the energy consumption by tying to minimize the number of turned-on APs while maintaining the network throughput. In doing so, SCC firstly gathers the feedback messages from UEs and then makes a decision including a set of turned-on APs and user association. DANCE algorithm has several variations depending on the number of bits of the UE’s feedback message (1 bit vs. N bit), and is divided into AP-first, UE-first, or Proximity ON according to the criteria of selecting the turned-on APs. We perform extensive simulations under the realistic UDN environment, and the results confirm that the proposed algorithms, compared to the baseline, can significantly enhance the energy efficiency, e.g., more than a factor of 10.

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  Cite this article

[IEEE Style]

G. Lee, H. Kim, Y. Kim, B. Kim, "DANCE," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 1135-1144, 2013. DOI: .

[ACM Style]

Gilsoo Lee, Hongseok Kim, Young-Tae Kim, and Byoung-Hoon Kim. 2013. DANCE. The Journal of Korean Institute of Communications and Information Sciences, 38, 12, (2013), 1135-1144. DOI: .

[KICS Style]

Gilsoo Lee, Hongseok Kim, Young-Tae Kim, Byoung-Hoon Kim, "DANCE," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 1135-1144, 12. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880