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DANCE : Small AP On/Off Algorithms in Ultra Dense Wireless Network
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 Title & Authors
DANCE : Small AP On/Off Algorithms in Ultra Dense Wireless Network
Lee, Gilsoo; Kim, Hongseok; Kim, Young-Tae; Kim, Byoung-Hoon;
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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.
 Keywords
Green communication;Base station operation;Small cell;Ultra dense network;Energy efficient;
 Language
Korean
 Cited by
1.
An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization, Energies, 2017, 10, 9, 1417  crossref(new windwow)
2.
Modeling and Performance Evaluation of a Context Information-Based Optimized Handover Scheme in 5G Networks, Entropy, 2017, 19, 7, 329  crossref(new windwow)
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