Title :
An energy saving approach for femtocell coverage function
Author :
Dudnikova, Anna ; Panno, Daniela
Author_Institution :
Dept. of Electr., Electron. & Comput. Eng., Univ. of Catania, Catania, Italy
Abstract :
In this paper, we propose a self-optimization coverage function for LTE femtocells embedded in a macrocell area. In this approach each Femtocell Base Station continuously adapts the operation mode according to the traffic conditions in order to fulfill the following objectives: improve the overall system capacity, reduce co-channel interference between adjacent femtocells, improve energy efficiency of the overall system. The proposed algorithm is distributed without any signaling overhead compared to a centralized solution. In a low load scenario our power control scheme limits the number of simultaneously activated femtocells, achieving a significant power saving on the entire femtocell network. As the number of active users increases, each Femto Base Station adapts its transmit power, and thus the coverage, as a function of the traffic demand, aiming to offload more traffic from the macrocell. This results in an improved overall system capacity and a larger energy efficiency of the overall cellular network.
Keywords :
Long Term Evolution; cochannel interference; energy conservation; femtocellular radio; interference suppression; power control; telecommunication traffic; wireless channels; LTE femtocell coverage function; cellular network; cochannel interference reduction; energy efficiency; energy saving approach; femtocell base station approach; macrocell area; power control scheme; self-optimization coverage function; signaling overhead; traffic demand condition; Downlink; Interference; Nickel; Signal to noise ratio; LTE femtocell; dynamic adaption; energy efficiency; offloading; power management; self-optimization;
Conference_Titel :
Energy Efficient and Green Networking (SSEEGN), 2013 22nd ITC Specialist Seminar on
Conference_Location :
Riccarton
DOI :
10.1109/SSEEGN.2013.6705395