Abstract
It has been recognized that cellular network interfaces are not energy efficient because of tail energy after each transmission. Although many research efforts have been made to reduce tail energy, they ignore the dynamic of link quality caused by user mobility or network congestion, which would lead to limited improvement without quality-of-experience guarantee. In this paper, we study to minimize energy consumption of the cellular network interface with a sequence of download/upload requests. Given accurate estimation of achievable link rate, we design a dynamic-programming (DP) based algorithm to obtain the optimal solution. Without the knowledge of dynamic link quality and future requests, an online algorithm is proposed to approximate the optimal solution. Finally, we conduct extensive simulations using real traces to evaluate the performance of our proposals, and the results show that 29% energy can be saved by using our algorithm under typical network settings.
Original language | English |
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Title of host publication | 24th International Conference on Computer Communications and Networks, ICCCN 2015 |
Publisher | IEEE |
Volume | 2015-October |
ISBN (Electronic) | 9781479999644 |
DOIs | |
Publication status | Published - 2 Oct 2015 |
Externally published | Yes |
Event | 24th International Conference on Computer Communications and Networks, ICCCN 2015 - Las Vegas, United States Duration: 3 Aug 2015 → 6 Aug 2015 |
Conference
Conference | 24th International Conference on Computer Communications and Networks, ICCCN 2015 |
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Country/Territory | United States |
City | Las Vegas |
Period | 3/08/15 → 6/08/15 |
Keywords
- Cellular network
- Data transmission
- Energy efficiency
- Long tail effect
- Network fluctuation
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Software