CoPoMo: a context‐aware power consumption model for LTE user equipment-Reference-Cited by-同舟云学术

CoPoMo: a context‐aware power consumption model for LTE user equipment

Published:2013-08-30 Issue:6 Volume:24 Page:615-632
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans. Emerging Tel. Tech.

Author:

Dusza Bjoern¹,Ide Christoph¹,Cheng Liang²,Wietfeld Christian¹

Affiliation:

1. Communication Networks Institute TU Dortmund University 44227 Dortmund Germany

2. Department of Computer Science and Engineering Lehigh University Bethlehem PA USA

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.2702

Reference33 articles.

1. Enhancing uplink performance in UTRAN LTE networks by load adaptive power control

2. KawadiaV KumarPR.“Power control and clustering in ad hoc networks” InProc. 22nd IEEE International Conference on Computer Communications (INFOCOM) San Francisco CA USA 2003;459–469.

3. JinT NoubirG ShengB.“WiZi‐Cloud: application‐transparent dual ZigBee‐WiFi radios for low power internet access” InProc. IEEE International Conference on Computer Communications (INFOCOM) Shanghai China 2011;1593–1601.

4. Power consumption model for macrocell and microcell base stations

5. ElayoubiS‐E SakerL ChahedT. “Optimal control for base station sleep mode in energy efficient radio access networks” InProc. IEEE International Conference on Computer Communications (INFOCOM) Shanghai China 2011;106–110.

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