Title :
Exploiting user movement patterns to enhance energy efficiency in wireless networks
Author :
Videv, Stefan ; Thompson, John S. ; Haas, Harald
Author_Institution :
Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
Abstract :
This paper presents an initial study on how to model user mobility in a wireless cellular network scenario. The model provides realistic patterns of movement between a number of locations. The aforementioned mobility model is built upon to introduce a base station (BS) energy efficient power state control algorithm (EESC) that is able to provide significant energy savings for the simulated scenario. Erratic subsequent on and off BS behavior is avoided by referring to an average loading curve, generated for each BS during a learning period, when making decisions. Moreover, BSs are turned off only when the users can be handed off to nearby cells with a predefined maximum allowed predicted loss in data rate. The resulting system is able to deliver an energy consumption reduction between 36% and 11% over an always on benchmark for the simulated scenarios. There is negligible loss in terms of achieved data rate per user.
Keywords :
cellular radio; decision making; energy conservation; mobility management (mobile radio); radio networks; BS behavior; EESC; average loading curve; base station; data rate; decision making; energy consumption reduction; energy efficiency enhancement; energy efficient power state control algorithm; energy savings; user mobility model; user movement patterns; wireless cellular network; Benchmark testing; Electrocardiography; Energy consumption; Hardware; Load modeling; Mathematical model; Radio frequency;
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Conference_Location :
London
DOI :
10.1109/PIMRC.2013.6666585