Paper Info
Title
Improving load balancing techniques by location awareness at indoor femtocell networks.
Abstract
Femtocells are the auspicious solution for the coverage and capacity challenges that mobile operators are currently facing indoors. Whereas some operators are focused on offloading data traffic from macrocells to femtocells, others prefer to ensure indoor coverage and prioritize voice traffic in order to mitigate the negative impact of blocked or dropped calls. In this context, this paper proposes a novel self-optimizing mechanism to prevent congestion problems at indoor environments, focused on operators that prioritize voice traffic connections. A challenge specific to femtocells is that they normally can only serve a small number of simultaneous connections. Based on this restriction, the proposed mechanism resizes femtocell coverage areas by tuning their transmission powers for load balancing purposes. How information on user location can enhance the optimization process is also investigated in this paper. According to this, two methods to estimate the received signal level per user are evaluated. Finally, the performance is studied by means of both simulations and a real field trial.
Year
DOI
Venue
2016
10.1186/s13638-016-0694-1
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Keywords
Field
DocType
Self-Organizing Networks (SON),Self-optimization,Mobility load balancing (MLB),Location awareness,Indoor,Femtocell
Femtocell,Data traffic,Computer science,Load balancing (computing),Computer network,Self-optimization,Signal strength,Operator (computer programming),Field trial,Location awareness
Journal
Volume
ISSN
Citations 
2016
1687-1472
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Alejandro Aguilar-García1405.03
Sergio Fortes Rodriguez2447.45
Aaron Garrido Martin391.14
Alfonso Fernandez-Durán400.34
Raquel Barco536441.12