A SOM Based Approach for Visualization of GSM Network Performance Data

2005 ◽  
pp. 588-598 ◽  
Author(s):  
Pasi Lehtimäki ◽  
Kimmo Raivio
Keyword(s):  
Network Performance ◽  
Performance Data ◽  
Gsm Network

scholarly journals Architecture for the Management and Presentation of Communication Network Performance Data

2006 ◽  
Vol 55 (3) ◽  
pp. 931-938 ◽  
Author(s):  
I. Phillips ◽  
D. Parish ◽  
M. Sandford ◽  
O. Bashir ◽  
A. Pagonis
Keyword(s):  
Communication Network ◽  
Network Performance ◽  
Performance Data

scholarly journals Global Systems Performance Analysis for Mobile Communications (GSM) using Cellular Network CODECS

2021 ◽  
Author(s):  
Maphuthego Etu Maditsi ◽  
Thulani Phakathi ◽  
Francis Lugayizi ◽  
Michael Esiefarienrhe
Keyword(s):  
Mobile Communications ◽  
Cellular Network ◽  
Network Performance ◽  
Network Services ◽  
Technology Changes ◽  
Gsm Network ◽  
Modulation Methods ◽  
Global Systems ◽  
Near Future

Global System for Mobile Communications (GSM) is a cellular network that is popular and has been growing in recent years. It was developed to solve fragmentation issues of the first cellular system, and it addresses digital modulation methods, level of the network structure, and services. It is fundamental for organizations to become learning organizations to keep up with the technology changes for network services to be at a competitive level. A simulation analysisusing the NetSim tool in this paper is presented for comparing different cellular network codecsfor GSM network performance. Theseparameters such as throughput, delay, and jitter are analyzed for the quality of service provided by each network codec. Unicast application for the cellular network is modeled for different network scenarios. Depending on the evaluation and simulation, it was discovered that G.711, GSM_FR, and GSM-EFR performed better than the other codecs, and they are considered to be the best codecs for cellular networks.These codecs will be of best use to better the performance of the network in the near future.

scholarly journals Flood Warning and Monitoring System (FWMS) using GSM Technology

2020 ◽  
Vol 5 (1) ◽  
pp. 7-18
Author(s):  
Nurzaid Muhd Zain ◽  
Lidia Syahira Elias ◽  
Zulfikri Paidi ◽  
Mahfudzah Othman
Keyword(s):  
Monitoring System ◽  
Network Performance ◽  
Warning System ◽  
Prototype System ◽  
Flood Warning ◽  
Gsm Network ◽  
Flood Warning System ◽  
And Function ◽  
The Impact ◽  
Positive Results

Floods are natural disasters that occur due to climate factors. The impact of floods on property and lives can be too high, resulting in the need to establish a monitoring system. FWMS is a personal flood monitoring system that has the ability to call and send warning via SMS. The warning was sent to not only system users, but also directly to the Fire and Rescue Station as floodwaters rose rapidly to dangerous levels. FWMS is developed using Arduino Uno microcontroller, ultrasonic sensor (HC-SR04) and GSM SIM900A module. Using FWMS, users can apply for flood status in their area in real time via SMS. In FWMS, there are three different levels of flood warning system. The first is the "normal" level, when the situation is normal. The second is the "warning" level, where an SMS will be sent to the users each time a flood is detected. Meanwhile, the third is known as the "danger" level, which will be sent when the depth of the flood that occurs is detected to be higher. For both levels of “warning” and “danger”, a loud buzzer will be issued as a warning sound notification to users. Three types of tests were performed on the FWMS to measure its level of performance. These tests were functional tests, prototype system tests, and GSM network performance tests. They were done to ensure that FWMS can be used and function properly as required. The tests have produced positive results and it is potentially to be further enhanced.

scholarly journals Assessment of Call Voice Quality of GSM Network Operators in 5 Cities in Kwara State

2019 ◽  
pp. 1-7
Author(s):  
K. O. Kadiri ◽  
Samuel Oluwaseun Lawal ◽  
Olawale Saheed Babatunde
Keyword(s):  
Quality Of Service ◽  
Network Performance ◽  
Positive Impact ◽  
Voice Quality ◽  
Success Rates ◽  
International Telecommunication Union ◽  
Perceptual Evaluation ◽  
Gsm Network ◽  
Set Up

This paper evaluates voice quality of four Global System for Mobile (GSM) Communication providers in five selected cities in Kwara State with thoughtfulness of network performance evaluation and the quality of service (QoS) improvement of GSM network system. Three assessment components/parameters which are network accessibility, service retainability and connection quality for evaluating QoS on the network were mainly adopted. The parameters were applied on four GSM networks in the studied areas using customers’ complaints method. Also, a standard method known as Perceptual Evaluation of Speech Quality (PESQ) — (International Telecommunication Union-Telecommunication Standardization Sector) ITU-T standard P.862, used for measuring call voice quality and Mean Opinion Score (MOS) is adopted. The two methods were therefore compared to assess call voice quality of the four GSM networks. The Key Performance Indicators (KPIs) on which the GSM networks were tested include call set-up success rates (CSSR), call drop rate (CDR), call completion success rates (CCSR), handover success rates (HSR) and traffic channel congestion rate (TCHR). The result of the study shows that the Quality of Service of GSM system in the selected cities is unreliable. The study also shows that the GSM network accessibility and retainability in the country are unsatisfactory. However, the call voice quality was observed to be on the peak in these cities across the four network providers. At the end of this manuscript, suggestions are given on how to advance both the Quality of Service and the positive impact of GSM network in the selected areas and the country as a whole.

scholarly journals Strong Masting Conjecture for Multiple Size Hexagonal Tessellation in GSM Network Design

2016 ◽  
Vol 8 (3) ◽  
pp. 44
Author(s):  
Samuel K. Amponsah ◽  
Elvis K. Donkoh ◽  
James A. Ansere ◽  
Kusi A. Bonsu
Keyword(s):  
Network Design ◽  
Geographical Distribution ◽  
Design Pattern ◽  
Cellular Network ◽  
Network Performance ◽  
Area Coverage ◽  
Efficient Design ◽  
Cell Range ◽  
Multiple Cell ◽  
Gsm Network

<p>One way to improve cellular network performance is to use efficient handover method and design pattern among other factors. The efficient design pattern has been proven geometrically to be hexagonal (Hales, 2001, pp. 1- 22) due to its maximum tessellable area coverage. But uneven geographical distribution of subscribers requires tessellable hexagons of different radii due to variation of costs of GSM masts. This will call for an overlap difference. The constraint of minimum overlap difference for multiple cell range is a new area that is untapped in cell planning. This paper addresses such multiple size hexagonal tessellation problem using a conjecture. Data from MTN River State-Nigeria, was collected. Multiple Size Hexagonal Tessellation Model (MSHTM) conjecture for masting three (3) different size MTN GSM masts in River State, accounted for least overlap difference with area of 148.3km<sup>2</sup> using 36 GSM masts instead of the original 21.48 km<sup>2</sup> for 50 GSM masts. Our conjecture generally holds for k-different (k&gt;=2 ) cell range.</p>

scholarly journals Femtocell Number Influence to SINR and Throughput on Coexistence GSM and LTE Network

2020 ◽  
Vol 17 (2) ◽  
pp. 145
Author(s):  
Muhammad Yaser
Keyword(s):  
Radio Frequency ◽  
Orthogonal Frequency Division Multiplexing ◽  
Network Performance ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Throughput Performance ◽  
Lte Network ◽  
Femtocell Network ◽  
Gsm Network ◽  
The Impact

<p><em>Coexistence GSM network and LTE femto relies on the number of femtocell deployment position. In the earlier study, the impact of macrocell size, femtocell deployment position, and coexistence LTE femtocell network integrated with GSM macrocell had been discussed. LTE femtocell used Orthogonal Frequency Division Multiplexing (OFDM) technology for its operation. In coexistence networks, LTE femtocells operate with OFDM technology so that they can utilize several radio frequency fractions without disturbing other parts of the frequency located between them. Unfortunately, the impact of femtocell number on the coexistence network had not been discussed. SINR and femtocell throughput performance are mathematically analyzed. The result showed that femtocell number had an effect on the coexistence network performance. SINR GSM, SINR femtocell and femtocell throughput significantly degraded as the femtocell number increased. The increasing femtocell number from M =0 to M =20 on each GSM cell cause around 14 dB degradation in SINR GSM, 3 dB decline in SINR Femto, approximately 1.7% decline in throughput for K = 4. Meanwhile for K = 7, the increasing femtocell number cause 17 dB decline in SINR GSM 6,5 dB decline in SINR Femto and 3.2 % decline in throughput. Those happened since the LTE femtocell interference went up. So femtocell number greatly influences the Coexistence GSM Network and LTE femtocell.</em></p><p><em><br /></em></p><p><em>Jaringan koeksistensi GSM dan LTE Femto sangat tergantung pada kondisi sebaran femtocell, di</em><em> </em><em>antaranya jumlah femtocell. Pada studi sebelumnya telah dibahas mengenai pengaruh ukuran macrocell dan posisi penyebaran femtocell dan jaringan koeksistensi LTE femtocell yang diintegrasikan dengan GSM macrocell. Dalam jaringan koeksistensi, LTE femtocell beroperasi dengan teknologi Orthogonal Frequency Division Multiplexing (OFDM) sehingga dapat memanfaatkan beberapa fraksi frekuensi radio tanpa mengganggu bagian lain dari frekuensi yang terletak di antaranya Namun studi sebelumnya belum membahas pengaruh jumlah femtocell pada jaringan koeksistensi ini. Kinerja kedua sistem yang dalam hal ini SINR dan femtocell throughput dianalisis secara matematis. Hasil simulasi menunjukan bahwa jumlah femtocell memiliki efek pada kinerja jaringan koeksistensi. SINR GSM, SINR femtocell dan femtocell throughput semakin menurun seiring dengan peningkatan jumlah femtocell</em><em>.</em><em> Peningkatan jumlah femtocell dari M = 0 ke M = 20 pada setiap sel GSM menyebabkan penurunan sekitar 14</em><em> </em><em>dB SINR GSM, penurunan 3</em><em> </em><em>dB SINR Femto, sekitar1, 7% penurunan throughput untuk K = 4. Sementara itu untuk K = 7, peningkatan junlah femtocell menyebabkan penurunan 17</em><em> </em><em>dB SINR GSM, penurunan 6.5</em><em> </em><em>dB SINR Femtocell dan penurunan 3, 2% dalam throughput. Hal ini disebabkan oleh peningkatan interferensi dari LTE femtocell. Maka jumlah LTE femtocell sangat mempengaruhi sistem koeksistensi LTE femtocell dengan jaringan GSM</em><em>.</em><em></em></p><p><em><br /></em></p>

scholarly journals An Applicable GSM Network Model for Networking in Rural Environments

2006 ◽  
Vol 2 (2) ◽  
pp. 56
Author(s):  
Yang Li ◽  
Johnson I Agbinya ◽  
H Anthony Chan
Keyword(s):  
Rural Areas ◽  
Network Performance ◽  
Wireless Networking ◽  
Maintenance Cost ◽  
Simulation Environment ◽  
Service Model ◽  
Rural Environments ◽  
Kwazulu Natal ◽  
Gsm Network ◽  
Set Up

Wide rural areas are often short of basic communication facilities and suffer from harsh geographic and climatic environments. Wireless networks which offer ease of operation and low maintenance cost appears to be a fast and feasible choice for service operators to install their individual networks. We first propose a refined wireless networking method to foster communication construction in rural areas. A one-pipefour-layer wireless simulation model, called Service Model, is highlighted in the paper to implement the network planning method. The Service Model collects raw data from given rural areas and abstracts these data by flowing them through four technical layers to form the predicted technical wireless network. Thereafter, a software simulation environment, BrwsLi, is coded in freeware Scilab to realize the Service Model for the sake of instantiation. This simulation environment is able to set up a specified rural network by constructing topology for the network on the depicted areas, simulate the network traffic, and evaluate network performance and economic efficiency. The Newcastle region in KwaZulu-Natal of South Africa is chosen as the sample of real-world cases to demonstrate how to practically apply Service Model and present how to operate BrwsLi properly.

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