Title :
Green novel power control framework for dense femtocell grids
Author :
Mazen Al Haddad;Magdy Bayoumi
Author_Institution :
Center for Advanced Computer Studies, University of Louisiana at Lafayette, LA, USA
Abstract :
High dense neighboring Femtocells are seen as future low-cost solution to significantly gain capacity compared to Macro-only deployment. Dense HetNet, which requires progressive introduction of Femtocells, offers scalable networks towards 1000 fold gains in capacity as per technology vision for 5G. In such dense networks, the problem of interference comes between the Macrocells and Femtocells as well as among the Femtocells themselves. Valuable insights in the Macro-Femto interference are available, while the Femto-Femto interference aspects remain partially addressed. This paper outlines this problem and points potential solution strategies to mitigate the Femto-Femto interference, increase the network capacity, decrease the power consumption and likewise reduce the CO2 footprint. According to the system level simulation of our novel power control framework, user throughput is 15,9% to 49,3% greater than that of the conventional power control schemas. This is equal to 9,87 to 12,35kg CO2 emission reduction per year for one Femtocell BS.
Keywords :
"Macrocell networks","Interference","Power control","Power measurement","Propagation losses","Buildings"
Conference_Titel :
Computer Vision and Image Analysis Applications (ICCVIA), 2015 International Conference on
Print_ISBN :
978-1-4799-7185-5
DOI :
10.1109/ICCVIA.2015.7351895