Paper Info
Title
Cognitive closed access femtocell application using multi-element antenna
Abstract
In this paper, a cognitive closed access multi-element antenna-specific femtocell protocol is presented. Femtocell is considered as the preeminent solution for indoor coverage in long-term evaluation (LTE) and LTE-advanced networks. The protocol is verified using a patch antenna for LTE network. In a vast deployment of this mini base station, unwanted handover event is considered as the major obstacle. Access control mechanism with coverage-optimized antenna pattern is one of the most promising solution to resolve this obstacle. A previously proposed microstrip four-element femtocell configuration is used to analyze the performance in user categorizing technique for closed access femtocell network. The categorization is performed using multi-layer feed forward network in neural network. The performance of the technique shows an inherent relationship between completeness of training data and error percentage. Sufficiently low error rates can be achieved by presenting about 15 training samples.
Year
DOI
Venue
2015
10.1186/s13638-015-0314-5
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Keywords
Field
DocType
Multi-element antenna,Femtocell,Closed access control,Neural network
Obstacle,Base station,Femtocell,Patch antenna,Radiation pattern,Computer science,Computer network,Real-time computing,Access control,Artificial neural network,Handover
Journal
Volume
ISSN
Citations 
2015
1687-1472
0
PageRank 
References 
Authors
0.34
7
6
Name
Order
Citations
PageRank
Mohammad Tariqul Islam18940.17
Afaz Uddin Ahmed281.94
Mahamod Ismail338759.37
T. A. Rahman42314.38
Mandeep Singh58216.65
Norbahiah Misran64212.69