Advanced search ?

Object

Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network, Journal of Telecommunications and Information Technology, 2022, nr 3
Download

Title: Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network, Journal of Telecommunications and Information Technology, 2022, nr 3

Creator:

Roy, Jibendu Sekhar ; Nandi, Pampa

Date:

2022, nr 3

Resource Type:

artykuł

Description:

The flat-top radiation pattern is necessary to form an appropriate beam in a sectored cellular network and to pro vide users with best quality services. The flat-top pattern offers sufficient power and allows to minimize spillover of signal to adjacent sectors. The flat-top sector beam pattern is relied upon In sectored cellular networks, in multiple-input multiple-output (MIMO) systems and ensures a nearly constant gain in the desired cellular sector. This paper presents a comparison of such optimization techniques as real-coded genetic algorithm (RGA) and particle swarm optimization (PSO), used in cellular networks in order to achieve optimum flat-top sector patterns. The individual parameters of flat-top sector beams, such as cellular coverage, ripples in the flat-top beam, spillover of radiation to the adjacent sectors and side lobe level (SLL) are investigated through optimization performed for 40◦ and 60◦ sectors. These parameters are used to compare the performance of the optimized RGA and PSO algorithms. Overall, PSO outperforms the RGA algorithm.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2236

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

Particle Swarm Optimization real-coded genetic algorithm flat-top sector beam

Object collections:

Last modified:

Mar 12, 2024

In our library since:

Feb 7, 2023

Number of object content hits:

29

All available object's versions:

https://bc.itl.waw.pl/publication/2545

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Nandi, Pampa, Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network, Journal of Telecommunications and Information Technology, 2022, nr 3 Mar 12, 2024

Objects Similar
Design of a Superconducting Antenna Integrated with a Diplexer for Radio-Astronomy Applications, Journal of Telecommunications and Information Technology, 2014, nr 3

Donelli, Massimo Febvre, Pascal

2014, nr 3
artykuł
The Learning System by the Least Squares Support Vector Machine Method and its Application in Medicine, Journal of Telecommunications and Information Technology, 2011, nr 3

Baszun, Mikołaj Szewczyk, Paweł

2011, nr 3
artykuł
2024, nr 1, JTIT-artykuły
2024, nr 1, JTIT-artykuły
Design of Low Power Thinned Smart Antenna for 6G Sky Connection, Journal of Telecommunications and Information Technology, 2024, nr 1

Khan, Anindita Roy, Jibendu Sekhar

2024
artykuł
2023, nr 2, JTIT-artykuły
2023, nr 2, JTIT-artykuły
Design of a Microstrip Filtering Antenna for 4G and 5G Wireless Networks, Journal of Telecommunications and Information Technology, 2023, nr 2

Roy, Jibendu Sekhar Boddu, Ramesh Deb, Arindam

2023, nr 2
artykuł
Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm, Journal of Telecommunications and Information Technology, 2017, nr 1

Roy, Jibendu Sekhar Bhattacharya, Partha Pratim Dutta, Swaham Chatterjee, Subhajit

2017, nr 1
artykuł
2023, nr 4, JTIT-artykuły
2023, nr 4, JTIT-artykuły
Designing Smart Antennas Using Machine Learning Algorithms, Journal of Telecommunications and Information Technology, 2023, nr 4

Samantaray, Barsa Das, Kunal Kumar Roy, Jibendu Sekhar

2023
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information