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This document is the abstract of a thesis that aims to develop an appropriate model for forecasting SMS traffic in the Jabotabek area of Indonesia using univariate forecasting methods. The thesis uses ARIMA and artificial neural network (ANN) methods to forecast GSM SMS traffic data from March to June 2011. The results showed that a single hidden layer ANN model produced the most accurate 7-day forecasts in terms of smallest error measures like RMSE, MAPE and SMAPE.
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ONLINE SUBGRAPH SKYLINE ANALYSIS OVER KNOWLEDGE GRAPHS
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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Mohammed Ashraf is seeking a position that allows him to utilize his 3 years of experience in fiber optics deployment, planning, installation, and maintenance for FTTH, FTTM, and FTTX networks. He has worked as a fiber optics site engineer and project coordinator. His experience also includes RF and TX coordination, electromagnetic force surveys, and equipment sales for wireless networks. He holds a B.Tech in Electronics and Communication from UP Technical University in Lucknow, India.
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ONLINE SUBGRAPH SKYLINE ANALYSIS OVER KNOWLEDGE GRAPHS
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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leads to revenue loss. Besides, the inaccuracy of network prediction also creates
a bottleneck problem that affects the performance of the telecommunication network,
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Average (ARIMA) model combined with a new disruptive formula. Another model,
called a disruptive formula, uses a judgmental approach based on four variables:
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share. The disruptive formula amplifies the ARIMA calculation as a new combination
formula from the judgmental and statistical approach. The results show that
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shows the average mobile data traffic to be 49.19 Mb/s and 156.93 Mb/s for the 3G and
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The Next Generation of mobile network 5G, which will be based on a high-speed wireless broadband connection, could bring important changes to the way individuals and businesses employ telecommunications services and solve the issues related to the explosive growth in demand for mobile
traffic, and the profitability decreasing of the mobile Broadband market. Therefore, the OMNs (Operator Mobile Networks) should plan for deploying 5G mobile network beyond 2020, which is the expected year for launching 5G. A business analysis study and mathematic modelling approach was considered. Also, a new pricing model is proposed to be consistent with the growth of mobile broadband. The results show that 5G is very beneficial, not only because of its lower cost compared with 4G LTE, but also due to the
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The explosion in wireless telecommunication technologies has lead to a huge increase in the number of mobile users. The greater dependency on the mobile devices has raised the user’s expectations to always remain best connected. In the process, the user is always desiringgood signal strength even at certain black spots and indoors. Moreover, the exponential growth of the number of mobile devices has overloaded macrocells. Femtocells have emerged out as a good promising solution for complete coverage indoors and for offloading macrocell. Therefore, a new handover strategy between femtocells and macrocell is proposed in this paper. The proposed handover algorithm is mainly based on calculating equivalent received signal strength along with dynamic margin for performing handover. The simulation results of proposed algorithm are compared with the traditional algorithm. The proposed strategy shows improvement in two major performance parameters namely reduction in unnecessary handovers and Packet Loss Ratio. The quantitative analysis further shows 55.27% and 23.03% reduction in packet loss ratio and 61.85% and 36.78% reduction in unnecessary handovers at a speed of 120kmph and 30kmph respectively. Moreover, the proposed algorithm proves to be an efficient solution for both slow and fast moving vehicles.
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Global System for Mobile communication (GSM) operators make use of Key Performance Indicators (KPIs) to appreciate the network performance and evaluate the Quality of Service (QoS) regarding end user perceived quality. KPIs are therefore becoming increasingly important in the context of network rollouts as well as within mature network optimization cycles. The performance of the mobile network is measured based on several counters describing the most important events over a measurement period. The KPIs are derived with the help of these counters using different formulations. Call Setup Success Rate (CSSR) is one of the most important KPIs used by all mobile operators. In Ouagadougou, Burkina-Faso, most of the active workers and remote area farmers rely largely on mobile communication services; the GPRS as data services remain highly competitive with GSM voice services. This paper presents a comparative evaluation of theoretically estimated CSSR to measured CSSR data on a real network with regard to GPRS services. The measured data was obtained from the Nokia Siemens Network (NSN) statistical tool. The results obtained showed significant improvements in areas where sharp drops in CSSR values were recorded for the measured CSSR. Significantly high R square values of close to 1 representing a high predictive ability from the regression analysis of the estimated CSSR were also recorded. It was concluded that the implementation of the CSSR formulation be extended to CSSR measurements to ensure increased subscriber satisfaction.
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
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Analyzing the Signal Flow and RF Planning in GSM NetworkAssociation of Scientists, Developers and Faculties
This document summarizes a study analyzing signal flow and RF planning in GSM networks. It discusses the architecture and planning process, including capacity planning, coverage planning, and frequency planning. Frequency planning aims to efficiently use spectrum while minimizing interference. The study used ATOLL planning tools to analyze signal levels and interference for an existing 4BTS and expanded 20BTS network in Chennai, India. Results showed signal levels from -43 to -110dBm and interference levels above the standard 12dB threshold. The report concludes frequency planning is important for network dimensioning and quality of service.More Related Content
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number of users. We also found that good analysis of Price Elasticity of Volume (PED) gives an important
margin of benefit. We confirm that the reuse of existing sites have a large impact on reducing costs when a
denser macro network deployed. However, we encountered a lack of the limited capacity related to the
macro sites and coverage limited with small cell solutions like femtocells, picocells deployed with 5G
millimeter Wave system and Wi-Fi.
Business models for the next generation of mobile communications
The Next Generation of mobile network 5G, which will be based on a high-speed wireless broadband connection, could bring important changes to the way individuals and businesses employ telecommunications services and solve the issues related to the explosive growth in demand for mobile
traffic, and the profitability decreasing of the mobile Broadband market. Therefore, the OMNs (Operator Mobile Networks) should plan for deploying 5G mobile network beyond 2020, which is the expected year for launching 5G. A business analysis study and mathematic modelling approach was considered. Also, a new pricing model is proposed to be consistent with the growth of mobile broadband. The results show that 5G is very beneficial, not only because of its lower cost compared with 4G LTE, but also due to the
increment of average data consumptions offered by 5G mobile technologies and the increasing growth of number of users. We also found that good analysis of Price Elasticity of Volume (PED) gives an important margin of benefit. We confirm that the reuse of existing sites have a large impact on reducing costs when a denser macro network deployed. However, we encountered a lack of the limited capacity related to the
macro sites and coverage limited with small cell solutions like femtocells, picocells deployed with 5G millimeter Wave system and Wi-Fi.
BUSINESS MODELS FOR THE NEXT GENERATION OF MOBILE COMMUNICATIONS
The Next Generation of mobile network 5G, which will be based on a high-speed wireless broadband connection, could bring important changes to the way individuals and businesses employ
telecommunications services and solve the issues related to the explosive growth in demand for mobile traffic, and the profitability decreasing of the mobile Broadband market. Therefore, the OMNs (Operator Mobile Networks) should plan for deploying 5G mobile network beyond 2020, which is the expected year for launching 5G. A business analysis study and mathematic modelling approach was considered. Also, a
new pricing model is proposed to be consistent with the growth of mobile broadband. The results show that 5G is very beneficial, not only because of its lower cost compared with 4G LTE, but also due to the increment of average data consumptions offered by 5G mobile technologies and the increasing growth of
number of users. We also found that good analysis of Price Elasticity of Volume (PED) gives an important margin of benefit. We confirm that the reuse of existing sites have a large impact on reducing costs when a
denser macro network deployed. However, we encountered a lack of the limited capacity related to the macro sites and coverage limited with small cell solutions like femtocells, picocells deployed with 5G millimeter Wave system and Wi-Fi.
Enhancing Traffic Prediction with Historical Data and Estimated Time of Arrival
This document proposes a methodology to enhance traffic prediction accuracy by combining historical traffic data, real-time traffic updates, and estimated time of arrival (ETA) information. The methodology utilizes machine learning techniques, ARIMA modeling, nonparametric methods, and deep neural networks to analyze the data. While the methodology lays out a framework for collecting raw traffic congestion data from online maps and transportation departments, the research focuses on establishing a theoretical model rather than conducting empirical experiments. The goal is to develop a comprehensive solution for traffic prediction by leveraging different data sources and analytical techniques.
Approximation of regression-based fault minimization for network traffic
This research associates three distinct approaches for computer network traffic prediction. They are the traditional stochastic gradient descent (SGD) using a few random samplings instead of the complete dataset for each iterative calculation, the gradient descent algorithm (GDA) which is a well-known optimization approach in deep learning, and the proposed method. The network traffic is computed from the traffic load (data and multimedia) of the computer network nodes via the Internet. It is apparent that the SGD is a modest iteration but can conclude suboptimal solutions. The GDA is a complicated one, can function more accurate than the SGD but difficult to manipulate parameters, such as the learning rate, the dataset granularity, and the loss function. Network traffic estimation helps improve performance and lower costs for various applications, such as an adaptive rate control, load balancing, the quality of service (QoS), fair bandwidth allocation, and anomaly detection. The proposed method confirms optimal values out of parameters using simulation to compute the minimum figure of specified loss function in each iteration.
Efficient P2P data dissemination in integrated optical and wireless networks ...
The Quality of Service (QoS) resource consumption is always the tricky problem and also
the on-going issue in the access network of mobile wireless part because of its dynamic nature of network
wireless transmissions. It is very critical for the infrastructure-less wireless mobile ad hoc network that is
distributed while interconnects in a peer-to-peer manner. Toward resolve the problem, Taguchi method
optimization of mobile ad hoc routing (AODVUU) is applied in integrated optical and wireless networks
called the adLMMHOWAN. Practically, this technique was carry out using OMNeT++ software by building
a simulation based optimization through design of experiment. Its QoS network performance is examined
based on packet delivery ratio (PDR) metric and packet loss probabilities (PLP) metric that consider
the scenario of variation number of nodes. During the performing stage with random mobile connectivity
based on improvement in optimized front-end wireless domain of AODVUU routing, the result is performing
better when compared with previous study called the oRia scheme with the improvement of 14.1% PDR
and 43.3% PLP in this convergence of heterogeneous optical wireless network.
Prediction of wireless communication systems in the context of modeling 2-3-4
This document discusses modeling and predicting the performance of wireless communication systems using multiple antennas.
It begins by introducing MIMO (multiple-input multiple-output) wireless systems and their advantages over single antenna systems. These include increased range, reduced interference, and improved capacity.
The document then analyzes MIMO system performance over flat fading channels with different fading statistics and levels of channel state information. It also discusses measurement results validating the Rayleigh fading assumption and the impact of mutual antenna coupling.
Finally, it covers stochastic channel models for MIMO systems, extending existing SISO models to the MIMO case. It models the correlation between antenna elements using general correlation models and covariance matrices.
G010613135
This document summarizes previous literature on traffic analysis and congestion modeling in mobile networks. It reviews works that have evaluated network performance at different elements like the BTS, BSC and MSC. However, none addressed congestion at all three basic elements (BTS, BSC, MSC) to characterize end-to-end connections, or used busy hour traffic data to adequately dimension network elements. The document also identifies gaps in the existing research, such as not establishing the statistical causes of congestion or using sufficient data. It proposes to analyze traffic at the access and core networks using live network data over two years to help dimension elements and identify congestion causes to develop an accurate congestion prediction model.
Litrature Survey of Traffic Analysis and Congestion Modeling In Mobile Network
Network congestion is one of the major problems of GSM service providers as the number of
subscribers increase and new services are introduced. All the proposed techniques in literatures for controlling
congestion are centered on two principles which are either to reject excessive traffic to prevent over-utilization
of network resources or diverting excess load if overload occurs. These techniques do not specify how network
resource can be provided to absorb rejected or diverted traffic so that revenue will not be lost during congestion
and hence, they do not really address congestion during busy hour. Real-time traffic analysis is required to
understand user traffic demand pattern on network resources for proper prediction of network congestion so
that resources can be provided to take care of rejected or diverted traffic. However, available literature survey
on mobile network congestion modeling showed that none of the existing literature: address congestion at the
three basic elements of GSM network to characterize end-to-end connection; use busy hour traffic data to
adequately dimension GSM network elements so that the network can cope with load B. Therefore, effective
congestion control mechanism that can take these research gaps into consideration for proper forecasting and
efficient dimension of the network resources to address busy hour congestion must be developed. This paper is a
preliminary report on development of such accurate congestion prediction model through an ongoing research
work using real live network data from one of the Service provider’s networks in Abuja, Nigeria as a case study
Dynamic multiagent method to avoid duplicated information at intersections in...
Vehicular ad hoc networks (VANETs) allow vehicles to contact one another to provide safety and comfort applications. However, mobility is a great challenge in VANETs. High vehicle speed causes topological changes that result in unstable networks. Therefore, most previous studies focused on using clustering techniques in roads to reduce the effect of vehicle mobility and enhance network stability. Vehicles stop moving at intersections, and their mobility does not impact clustering. However, none of previous studies discussed the impact of vehicle stopping at intersections on base stations (BSs). Vehicles that have stopped moving at intersections continue to send the same information to BSs, which causes duplicated information. Hence, this study proposes a new method named dynamic multiagent (DMA) to filter cluster information and prevent duplicated information from being sent to BSs at intersections. The performance of the proposed method was evaluated through simulations during the use of DMA and without-DMA (W-DMA) methods based on real data collected from 10 intersections in Batu Pahat City, Johor, Malaysia. Overall, the proposed DMA method results in a considerable reduction in duplicated information at intersections, with an average percentage of 81% from the W-DMA method.
A Vertical Handover Algorithm in Integrated Macrocell Femtocell Networks
The explosion in wireless telecommunication technologies has lead to a huge increase in the number of mobile users. The greater dependency on the mobile devices has raised the user’s expectations to always remain best connected. In the process, the user is always desiringgood signal strength even at certain black spots and indoors. Moreover, the exponential growth of
the number of mobile devices has overloaded macrocells. Femtocells have emerged out as a good promising solution for complete coverage indoors and for offloading macrocell. Therefore, a new handover strategy between femtocells and macrocell is proposed in this paper. The proposed handover
algorithm is mainly based on calculating equivalent received signal strength along with dynamic margin for performing handover. The simulation results of proposed algorithm are compared with the traditional algorithm. The proposed strategy shows improvement in two major performance parameters
namely reduction in unnecessary handovers and Packet Loss Ratio. The quantitative analysis further shows 55.27% and 23.03% reduction in packet loss ratio and 61.85% and 36.78% reduction in unnecessary handovers at a speed of 120kmph and 30kmph respectively. Moreover, the proposed algorithm proves to be an efficient solution for both slow and fast moving vehicles.
A Vertical Handover Algorithm in Integrated Macrocell Femtocell Networks
The explosion in wireless telecommunication technologies has lead to a huge increase in the number of mobile users. The greater dependency on the mobile devices has raised the user’s expectations to always remain best connected. In the process, the user is always desiringgood signal strength even at certain black spots and indoors. Moreover, the exponential growth of the number of mobile devices has overloaded macrocells. Femtocells have emerged out as a good promising solution for complete coverage indoors and for offloading macrocell. Therefore, a new handover strategy between femtocells and macrocell is proposed in this paper. The proposed handover algorithm is mainly based on calculating equivalent received signal strength along with dynamic margin for performing handover. The simulation results of proposed algorithm are compared with the traditional algorithm. The proposed strategy shows improvement in two major performance parameters namely reduction in unnecessary handovers and Packet Loss Ratio. The quantitative analysis further shows 55.27% and 23.03% reduction in packet loss ratio and 61.85% and 36.78% reduction in unnecessary handovers at a speed of 120kmph and 30kmph respectively. Moreover, the proposed algorithm proves to be an efficient solution for both slow and fast moving vehicles.
IRJET- Implementation of Beamforming Techniques for Upcoming Wireless Communi...
The document discusses various beamforming techniques that can be used for upcoming wireless communications systems to meet high data rate demands. It compares analog, digital, and hybrid beamforming techniques. Analog beamforming uses phase shifters to steer transmit and receive beams along propagation directions but does not provide channel state information. Digital beamforming is implemented through software algorithms but has hardware costs. Hybrid beamforming combines the advantages of analog and digital beamforming by providing channel state information while dynamically controlling antenna arrays. The document analyzes these techniques for applications such as massive MIMO and full duplex systems to enhance spectral efficiency and suppress interference.
1907.04789_2.pdf
This document provides a survey of recent research on intelligent reflecting surfaces (IRSs) and their potential role in 6G wireless communication networks. It categorizes IRS research into studies of IRS-aided communications, including analyses of capacity, power optimization, channel estimation, and reliability. It also reviews IRS implementations and applications in secure communications and terminal positioning. The document identifies future research directions for IRSs and envisions IRS technology playing a critical role in 6G networks similar to massive MIMO in 5G.
Evaluation of CSSR with Direct TCH Assignment in Cellular Networks
Global System for Mobile communication (GSM) operators make use of Key Performance Indicators (KPIs) to appreciate the network performance and evaluate the Quality of Service (QoS) regarding end user perceived quality. KPIs are therefore becoming increasingly important in the context of network rollouts as well as within mature network optimization cycles. The performance of the mobile network is measured based on several counters describing the most important events over a measurement period. The KPIs are derived with the help of these counters using different formulations. Call Setup Success Rate (CSSR) is one of the most important KPIs used by all mobile operators. In Ouagadougou, Burkina-Faso, most of the active workers and remote area farmers rely largely on mobile communication services; the GPRS as data services remain highly competitive with GSM voice services. This paper presents a comparative evaluation of theoretically estimated CSSR to measured CSSR data on a real network with regard to GPRS services. The measured data was obtained from the Nokia Siemens Network (NSN) statistical tool. The results obtained showed significant improvements in areas where sharp drops in CSSR values were recorded for the measured CSSR. Significantly high R square values of close to 1 representing a high predictive ability from the regression analysis of the estimated CSSR were also recorded. It was concluded that the implementation of the CSSR formulation be extended to CSSR measurements to ensure increased subscriber satisfaction.
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
TAXI DEMAND PREDICTION IN REAL TIME
This document presents a study on predicting taxi demand in real-time using historical taxi trip data. The study uses a long short-term memory (LSTM) recurrent neural network model to predict future taxi demand across different neighborhoods of a city. The model examines relationships between past taxi demand patterns and subsequent demand to effectively forecast future demand. It divides the city into distinct areas and predicts demand for each area. The model was tested on a dataset of New York City taxi requests and was found to outperform other prediction methods. The study suggests demand prediction could be improved by incorporating additional data like weather. Accurately predicting taxi demand can benefit fleet management and reduce passenger wait times.
Analyzing the Signal Flow and RF Planning in GSM Network
Analyzing the Signal Flow and RF Planning in GSM NetworkAssociation of Scientists, Developers and Faculties
This document summarizes a study analyzing signal flow and RF planning in GSM networks. It discusses the architecture and planning process, including capacity planning, coverage planning, and frequency planning. Frequency planning aims to efficiently use spectrum while minimizing interference. The study used ATOLL planning tools to analyze signal levels and interference for an existing 4BTS and expanded 20BTS network in Chennai, India. Results showed signal levels from -43 to -110dBm and interference levels above the standard 12dB threshold. The report concludes frequency planning is important for network dimensioning and quality of service.Similar to 1308100032-abstrac_en (20)
Using SMS to Transfer Small Data Packets During (SBRC), 2015
Using SMS to Transfer Small Data Packets During (SBRC), 2015
Classification Approach for Big Data Driven Traffic Flow Prediction using Ap...
Classification Approach for Big Data Driven Traffic Flow Prediction using Ap...
Business Models for the Next Generation of Mobile Communications
Business Models for the Next Generation of Mobile Communications
Business models for the next generation of mobile communications
Business models for the next generation of mobile communications
BUSINESS MODELS FOR THE NEXT GENERATION OF MOBILE COMMUNICATIONS
BUSINESS MODELS FOR THE NEXT GENERATION OF MOBILE COMMUNICATIONS
Enhancing Traffic Prediction with Historical Data and Estimated Time of Arrival
Enhancing Traffic Prediction with Historical Data and Estimated Time of Arrival
Approximation of regression-based fault minimization for network traffic
Approximation of regression-based fault minimization for network traffic
Efficient P2P data dissemination in integrated optical and wireless networks ...
Efficient P2P data dissemination in integrated optical and wireless networks ...
Prediction of wireless communication systems in the context of modeling 2-3-4
Prediction of wireless communication systems in the context of modeling 2-3-4
Litrature Survey of Traffic Analysis and Congestion Modeling In Mobile Network
Litrature Survey of Traffic Analysis and Congestion Modeling In Mobile Network
Dynamic multiagent method to avoid duplicated information at intersections in...
Dynamic multiagent method to avoid duplicated information at intersections in...
A Vertical Handover Algorithm in Integrated Macrocell Femtocell Networks
A Vertical Handover Algorithm in Integrated Macrocell Femtocell Networks
A Vertical Handover Algorithm in Integrated Macrocell Femtocell Networks
A Vertical Handover Algorithm in Integrated Macrocell Femtocell Networks
IRJET- Implementation of Beamforming Techniques for Upcoming Wireless Communi...
IRJET- Implementation of Beamforming Techniques for Upcoming Wireless Communi...
Evaluation of CSSR with Direct TCH Assignment in Cellular Networks
Evaluation of CSSR with Direct TCH Assignment in Cellular Networks
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...
Analyzing the Signal Flow and RF Planning in GSM Network
Analyzing the Signal Flow and RF Planning in GSM Network
1308100032-abstrac_en
- 1. ix FORECASTING TRAFFIC SMS GSM IN TELE- COMMUNICATION COMPANY FOR EFFICIENT AND EFFECTIVE PLANNING Name : Oktaviano Rendy Prasetyo NRP : 1308 100 032 Department : Statistics FMIPA-ITS Supervisor : Drs. Agus Suharsono, M.Si Co. Supervisor : Dr. Suhartono, S.Si, M.Sc ABSTRACT Planning in increasingly complex telecommunications net- work requires a good standardization of planning. This planning need a forecasting traffic for better result. Therefore, this ebjec- tive of this research is to develop an appropriate model for fore- casting SMS traffic Jabotabek area using univariate forecasting method namely ARIMA and ANN. The data used is the GSM SMS traffic for Jabotabek area in the period March to June 2011. The results showed that model of single hidden layer ANN pro- duces the smallest RMSE, MAPE, and SMAPE for the next 7 days forecasting. Key Words : ANN, ARIMA, Traffic SMS GSM.
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