Cognitive closed access femtocell application using multi-element antenna

Mohammad Tariqul Islam, Afaz Uddin Ahmed, Mandeep Singh Jit Singh, Mahamod Ismail, Tharek Bin Abd Rahman, Norbahiah Misran

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number92
JournalEurasip Journal on Wireless Communications and Networking
Volume2015
Issue number1
DOIs
Publication statusPublished - 11 Dec 2015

Fingerprint

Femtocell
Antennas
Directional patterns (antenna)
Microstrip antennas
Access control
Base stations
Neural networks

Keywords

  • Closed access control
  • Femtocell
  • Multi-element antenna
  • Neural network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Computer Science Applications

Cite this

Cognitive closed access femtocell application using multi-element antenna. / Islam, Mohammad Tariqul; Ahmed, Afaz Uddin; Jit Singh, Mandeep Singh; Ismail, Mahamod; Rahman, Tharek Bin Abd; Misran, Norbahiah.

In: Eurasip Journal on Wireless Communications and Networking, Vol. 2015, No. 1, 92, 11.12.2015.

Research output: Contribution to journalArticle

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