Showing posts with label Mobile communication. Show all posts
Showing posts with label Mobile communication. Show all posts

Tuesday, 2 November 2021

Implementation of an Efficient Scheme for Dynamic Channel Allocation Using Intelligent Agent in Mobile Communication | Chapter 08 | Novel Perspectives of Engineering Research Vol. 2

 Mobile communication is becoming increasingly popular. Resource flexibility is one of the most important challenges in the next generation of mobile communication. Several tactics are necessary to increase the network's efficiency and flexibility in order to deal with new services and adapt new traffic patterns and characteristics. In mobile communication, the efficiency of channel allocation is critical. The purpose of this study is to offer a distributed dynamic channel allocation strategy that makes use of intelligent agents to boost network efficiency and flexibility. This channel allocation technique will provide an efficient solution in moderate and heavy load circumstances. The agent architecture used gives base stations additional autonomy and a method for allowing co-operation and negotiation between them; this autonomy and co-operation helps the network to be more flexible in coping with new traffic conditions while also boosting overall network robustness. We compared the performance of the Distributed FCA and DCA schemes and found that the FCA scheme's average call dropping probability is 96 to 98 percent, while the DCA scheme's average call dropping probability is 26 to 28 percent in various conditions, implying that the distributed DCA scheme is more efficient than the FCA scheme.


Author(S) Details

Swati M. Khandare
Department of Electronics & Telecommunication Engineering, University of Mumbai, Mumbai, India.

R. R. Sedamkar
Department of Computer Engineering, University of Mumbai, Mumbai, India.

View Book:- https://stm.bookpi.org/NPER-V2/article/view/4381

Thursday, 14 May 2020

Large-scale Channel Modeling and Measurements for 10 GHz in Indoor Environments: Recent Development | Chapter 5 | Theory and Applications of Physical Science Vol. 4

With the advent of 5G mobile communication and researches on propagation of large-scale channel modeling for frequencies above 6 GHz, measurement campaigns were performed at 10 GHz with horn-type directional antennas in a corridor and a computer room within the Electrical and Computer Engineering Laboratories’ first floor, at Federal University of Pará (UFPA), Brazil. This paper presents data obtained through said campaigns, channel modeling with co-polarizations V-V and H-H and cross-polarization V-H in line-of-sight (LoS) or non-line-of-sight (NLoS) conditions. The large-scale Close in Reference is sustained by a comprehensive analysis, considering propagation mechanisms such as reflection and diffraction. Results demonstrate that the established model had inferior standard deviation in relation to measured data, proving itself more significant to propagation in indoor environments.

Author (s) Details

Iury S. Batalha
Laboratorio de Computacão e Telecomunicações (LCT), Federal University of Pará (UFPA), Belem 66045-110, Brazil.
Jasmine P. L. Araújo
Laboratorio de Computacão e Telecomunicações (LCT), Federal University of Pará (UFPA), Belem 66045-110, Brazil

Fabrício J. B. Barros
Laboratorio de Computacão e Telecomunicações (LCT), Federal University of Pará (UFPA), Belem 66045-110, Brazil.

Bruno L. S. Castro
Laboratorio de Computacão e Telecomunicações (LCT), Federal University of Pará (UFPA), Belem 66045-110, Brazil.

Gervásio P. S. Cavalcante
Laboratorio de Computacão e Telecomunicações (LCT), Federal University of Pará (UFPA), Belem 66045-110, Brazil.

Evaldo G. Pelaes
Laboratorio de Computacão e Telecomunicações (LCT), Federal University of Pará (UFPA), Belem 66045-110, Brazil.

View Book :- 
http://bp.bookpi.org/index.php/bpi/catalog/book/171