DocumentCode
163706
Title
Stability-Aware and Energy Efficient Cell Management in Ultra Dense Networks
Author
Chan Zhou ; Bulakci, Omer
Author_Institution
Huawei Eur. Res. Center, Munich, Germany
fYear
2014
fDate
14-17 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
The energy consumption is becoming a particular concern in Ultra Dense Networks (UDN), where thousands of small base stations (BSs) and access points are deployed in a narrow area. An applicable solution to mitigate the increased energy consumption is switching on/off the BSs in accordance with the traffic demand in the network. In the literature, it is shown that the selection of the optimal set of the BSs is an integer programming problem with considerable complexity. In this work, we propose an algorithm with reduced computational complexity while considering the stability of the network in order to avoid the frequent on/off switches of the BSs and the handovers of the users. The proposed dynamic cell management mechanism is implemented in an office/campus environment equipped with Pico BSs, and the corresponding performance evaluation is demonstrated in this paper. Results reveal substantial improvements in terms of total power consumption along with reduced numbers of handovers and on/off switches of the BSs.
Keywords
computational complexity; integer programming; mobility management (mobile radio); picocellular radio; BS on-off switching; BS optimal set selection; UDN; access points; dynamic cell management mechanism; energy consumption; energy-efficient cell management; integer programming problem; network stability; office-campus environment; pico BS; reduced computational complexity; small-base stations; stability-aware cell management; total power consumption; traffic demand; ultradense networks; user handovers; Computer architecture; Handover; Microprocessors; NIST; Power demand; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
Conference_Location
Vancouver, BC
Type
conf
DOI
10.1109/VTCFall.2014.6966188
Filename
6966188
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