Optimization of HSDPA Network in Malang City Area Using Drive Test

2016 ◽  
Vol 3 (2) ◽  
pp. 53-59
Author(s):  
Agnes Estuning Tyas
Keyword(s):  
Network Optimization ◽  
Network Performance ◽  
Path Loss ◽  
Quality Service ◽  
Network Operator ◽  
Network Resources ◽  
Test Drive ◽  
City Area ◽  
Best Value ◽  
Measuring Network

With the influence of customer growth and environmental influences from an HSDPA network in the form of nodeB which stands in the Malang City area, it can experience integration. This causes measurements to be carried out continuously and periodically to provide the latest radio environmental information. The vendor as the network operator performs optimization in order to provide customers with the best quality service. One of them is in the form of network performance which aims to ensure that network resources are used efficiently. The method in achieving network optimization that is still used by vendors in Indonesia is by measuring network performance, then analyzing the results of measuring network performance and finally network tuning. For measuring network performance using a test drive. Of the 13 nodeB in Lowokwaru District, Malang City, it is necessary to optimize the HSDPA network with the suggestion of a downtilt antenna on the Ketawanggede nodeB sector 3, which is 2º The results of the calculation of the path loss parameters from each of the 13 nodeBs obtained the highest value of 125.31 dB at nodeB Ketawanggede and the lowest 114.29 dB at nodeB Vinolia Malang sector 3. The results of the RSCP parameter calculation at 13 nodeB obtained the best value at nodeB Vinolia Malang sector 3 with RSCP of -69.29dBm. While the worst value at nodeB Ketawanggede with RSCP is -80.31dBm. 

Optimization of Placement of Electronic Data Capture (EDC) Based on 3G Test Drive in Shopping Center Buildings

2018 ◽  
Vol 6 (1) ◽  
pp. 62-66
Author(s):  
Andari Dyah Widowatie
Keyword(s):  
Research Method ◽  
Path Loss ◽  
Shopping Center ◽  
Signal Quality ◽  
Coverage Area ◽  
Test Drive ◽  
A Value ◽  
Cash Payment ◽  
Three Samples ◽  
Link Budget

The problem that often occurs in malls or supermarkets is the use of EDC as a non-cash payment tool for alternative customers. However, the use of EDC machines sometimes experiences problems, namely when customers enter data so that transactions take longer, so this study aims to analyze the optimization of EDC placement in shopping center buildings. This research method is to measure the parameters, namely the RSCP and the closest antenna coverage from the EDC. In this study, three samples were taken, namely Cassa 1, 2 and 3 at Matahari Department Store Malang Town Square. The results of this study were obtained that the Drive Test in the Matahari room showed that Cassa-1, Cassa-2 and Cassa-3 received RSCP with green color which means good. Two of the three tools, namely Drive Test and Mobile can display RSCP with a value that is not too much difference. Especially for EDC is only able to visually display the RSCP and the results of previous calculations, the value of ten antennas which is in the Matahari room has a coverage area below 10 m. And the UG-12 antenna, which is the closest antenna to Cassa-3,  that is outside the antenna coverage, while the UG-08 antenna can still reach the Cassa-3 area. This shows that the placement of EDC has met the requirements to get adequate signal quality and the position of the Cassa table can be moved according to the antenna coverage calculation on the Link budget and Path Loss calculations

scholarly journals ANALISIS PROPAGASI PADA KAWASAN KAMPUS UNIVERSITAS NUSA CENDANA PENFUI KUPANG

2019 ◽  
pp. 7-16
Author(s):  
Leonardo F. Lay ◽  
Kalvein Rantelobo ◽  
Beby H. A. Manafe
Keyword(s):  
Communication Systems ◽  
Cost Model ◽  
Path Loss ◽  
Secondary Data ◽  
Propagation Model ◽  
Primary Data ◽  
Acceptance Test ◽  
Test Drive ◽  
Dry Land ◽  
The University

In a telecommunications system, a radio propagation model is needed to do a design, construction, and development of mobile communication systems. Propagation models commonly used are the Okumura-Hatta model and the COST model 231. These models are used to determine an accurate propagation model in a particular area. This study aims to obtain a propagation model on the environmental conditions of dry-land such as the University of Nusa Cendana areas by using Okumura-Hata path loss modeling and COST-231. In this study, the acceptance test drive was carried out at frequencies of 900 Mhz, 1800 Mhz and 1900 MHz using the G-NetTrack application on Telkomsel BTS in the University of Nusa Cendana area with Latitude coordinates -10.156738 and Longitude 123.668422 as well as observing frequencies using Spectrum Analyzer to be used as primary data. The next step is to calculate the received power data as secondary data using the Okumura-Hata path loss calculation and COST-231. Based on primary and secondary data an analysis of which propagation model matches the measurements in the field is carried out. From the propagation analysis, it can be concluded that the propagation model that suits the conditions on the campus area is the Okumura-Hatta model.

scholarly journals Selection and Optimization of Most Suitable Path Loss Prediction Model for Suburban City in Nigeria Using Spline Interpolation

2018 ◽  
pp. 1-8
Author(s):  
A. Danladi ◽  
N. W. Silikwa ◽  
K. G. Gaya ◽  
A. H. Augustine
Keyword(s):  
Spline Interpolation ◽  
Mobile Station ◽  
Path Loss ◽  
Telecommunication Networks ◽  
Network Resources ◽  
Suburban Areas ◽  
Loss Prediction ◽  
Path Loss Prediction ◽  
Base Transceiver Station ◽  
Optimized Model

Path loss is an attenuation of Global System for Mobile Communication (GSM) signal between Base Transceiver Station (BTS) and Mobile Station (MS). Path loss helps network engineers in planning, designing and implementing telecommunication networks. This work examines the applicability of Hata, COST 231, ECC – 33, Ericsson and SUI models in a medium city (Mubi) in Adamawa State, Nigeria. Root mean square error (RMSE) between the measured and the predicted losses (output of the models) is obtained as 7.632dB, 14.736dB, 10.593dB, 0.639dB and 23.491dB respectively. Ericsson model is found to have the least RMSE. Therefore, it is selected as the best fit model and modified. Furthermore, the modified model is optimized to recover missing or to eliminate unwanted information in the radio path using spline interpolation. The optimized model can be employed for the deployment of network resources in suburban areas of Nigeria, especially in Mubi town in Adamawa State, in order to significantly enhance GSM signal QoS. It is recommended that fuzzy logic and spline interpolation techniques may be integrated and employed to further minimize the error obtained in this work.

scholarly journals Loader and tester swarming drones for cellular phone network loading and field test: non-stochastic particle swarm optimization

2019 ◽  
Vol 2 (2) ◽  
pp. 14 ◽  
Author(s):  
Mohammad Shekaramiz ◽  
Amir Mirzaeinia ◽  
Mostafa Hassanalian ◽  
Mehdi Mirzaeinia
Keyword(s):  
Particle Swarm Optimization ◽  
Cellular Network ◽  
Network Performance ◽  
Particle Swarm ◽  
Cellular Phone ◽  
Network Operator ◽  
Network Parameter ◽  
Swarm Optimization ◽  
Network Loading ◽  
Radio Access

Cellular network operators have problems to test their network without affecting their user experience. Testing network performance in a loaded situation is a challenge for the network operator because network performance differs when it has more load on the radio access part. Therefore, in this paper, deploying swarming drones is proposed to load the cellular network and scan/test the network performance more realistically. Besides, manual swarming drone navigation is not efficient enough to detect problematic regions. Hence, particle swarm optimization is proposed to be deployed on swarming drone to find the regions where there are performance issues. Swarming drone communications helps to deploy the PSO method on them. Loading and testing swarm separation helps to have almost non-stochastic received signal level as objective function. Moreover, there are some situations that more than one network parameter should be used to find a problematic region in the cellular network. It is also proposed to apply multi-objective PSO to find more multi-parameter network optimization at the same time.

scholarly journals Worst case performance bounds for multimedia flows in QoS-enhanced TNPOSS network

2011 ◽  
Vol 8 (3) ◽  
pp. 890-908
Author(s):  
Ke Xiong ◽  
Yu Zhang ◽  
Shenghui Wang ◽  
Zhifei Zhang ◽  
Zhengding Qiu
Keyword(s):  
Network Optimization ◽  
Network Performance ◽  
Buffer Management ◽  
Buffer Size ◽  
Network Calculus ◽  
Performance Bounds ◽  
Transmission Scheme ◽  
Worst Case ◽  
Delay Bound ◽  
Packet Length

Network performance bounds, including the maximal end-toend (E2E) delay, the maximal jitter and the maximal buffer backlog amount, are very important for network QoS control, buffer management and network optimization. QoS-enhanced To Next-hop Port Sequence Switch (QTNPOSS) is a recently proposed transmission scheme to achieve scalable fast forwarding for multimedia applications. However, the existing E2E delay bound of QTNPOSS network is not tight. To this end, this paper presents a lower E2E delay bound for QTNPOSS networks by using the network calculus theory, where the inherent properties (e.g. packet length and peak rate) of the flow are taken into account. Besides, the buffer size bound and the jitter bound of QTNPOSS network are also presented. Moreover, by extensive numerical experiments, we discuss the influences of the Long Range Dependence (LDR) traffic property and the Weighted Fair Queuing (WFQ) weight on the proposed network performance bounds. The results show that the WFQ weight influences the bounds more greatly than the LRD property.

scholarly journals A Node-Regulated Deflection Routing Framework for Contention Minimization

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Bakhe Nleya ◽  
Andrew Mutsvangwa
Keyword(s):  
Wavelength Division Multiplexing ◽  
Network Performance ◽  
Cost Effective ◽  
Core Network ◽  
Network Resources ◽  
Deflection Routing ◽  
Wavelength Division ◽  
Backbone Networks ◽  
Candidate Solution ◽  
Data Burst

Optical Burst Switching (OBS) paradigm coupled with Dense Wavelength Division Multiplexing (DWDM) has become a practical candidate solution for the next-generation optical backbone networks. In its practical deployment only the edge nodes are provisioned with buffering capabilities, whereas all interior (core) nodes remain buffer-less. In that way the implementation becomes quite simple as well as cost effective as there will be no need for optical buffers in the interior. However, the buffer-less nature of the interior nodes makes such networks prone to data burst contention occurrences that lead to a degradation in overall network performance as a result of sporadic heavy burst losses. Such drawbacks can be partly countered by appropriately dimensioning available network resources and reactively by way of deflecting excess as well as contending data bursts to available least-cost alternate paths. However, the deflected data bursts (traffic) must not cause network performance degradations in the deflection routes. Because minimizing contention occurrences is key to provisioning a consistent Quality of Service (QoS), we therefore in this paper propose and analyze a framework (scheme) that seeks to intelligently deflect traffic in the core network such that QoS degradations caused by contention occurrences are minimized. This is by way of regulated deflection routing (rDr) in which neural network agents are utilized in reinforcing the deflection route choices at core nodes. The framework primarily relies on both reactive and proactive regulated deflection routing approaches in order to prevent or resolve data burst contentions. Simulation results show that the scheme does effectively improve overall network performance when compared with existing contention resolution approaches. Notably, the scheme minimizes burst losses, end-to-end delays, frequency of contention occurrences, and burst deflections.

scholarly journals An environmental channel throughput and radio propagation modeling for vehicle-to-vehicle communication

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771877253 ◽  
Author(s):  
Mohammed Abdulhakim Al-Absi ◽  
Ahmed Abdulhakim Al-Absi ◽  
TaeYong Kim ◽  
Hoon Jae Lee
Keyword(s):  
Network Performance ◽  
Path Loss ◽  
Packet Delivery Ratio ◽  
Propagation Model ◽  
Radio Propagation ◽  
Propagation Path ◽  
Line Of Sight ◽  
Delivery Ratio ◽  
Intelligent Transport System ◽  
Packet Delivery

Developing a secure and smart intelligent transport system for both safety and non-safety application services requires a certain guarantee of network performance, especially in terms of throughput and packet collision performance. The vehicular ad hoc network propagation is strongly affected due to varying nature of the environment. The existing radio propagation path loss models are designed by using mean additional attenuation sophisticated fading models. However, these models do not consider the obstacle caused due to the obstacle of the vehicle in line of sight of the transmitting and receiving vehicle. Thus, the attenuation signal at the receiving vehicles/devices is affected. To address this issue, we present an obstacle-based radio propagation model that considers the effect caused due to the presence of obstructing vehicle in line of sight. This model is evaluated under different environmental conditions (i.e. city, highway, and rural) by varying the speed of vehicles and vehicles’ density. The performance of the model is evaluated in terms of throughput, collision, transmission efficiency, and packet delivery ratio. The overall result shows that the proposed obstacle-based throughput model is efficient considering varied speed and density. For instance, in the city environment, the model achieves an average improvement of 9.98% and 25.02% for throughput performance over other environments by varying the speed and density of devices respectively and an improvement of 15.04% for packet delivery ratio performance over other environments considering varied speed of devices.

scholarly journals A Virtual Network Resource Allocation Framework Based on SR-IOV

2019 ◽  
Vol 9 (1) ◽  
pp. 137
Author(s):  
Zhiyong Ye ◽  
Yuanchang Zhong ◽  
Yingying Wei
Keyword(s):  
Network Performance ◽  
Virtual Machines ◽  
Dynamic Allocation ◽  
Network Resources ◽  
Network Resource ◽  
Throughput Rate ◽  
Network Bandwidth ◽  
On Demand ◽  
Performance Requirements ◽  
And Performance

The workload of a data center has the characteristics of complexity and requirement variability. However, in reality, the attributes of network workloads are rarely used by resource schedulers. Failure to dynamically schedule network resources according to workload changes inevitably leads to the inability to achieve optimal throughput and performance when allocating network resources. Therefore, there is an urgent need to design a scheduling framework that can be workload-aware and allocate network resources on demand based on network I/O virtualization. However, in the current mainstream I/O virtualization methods, there is no way to provide workload-aware functions while meeting the performance requirements of virtual machines (VMs). Therefore, we propose a method that can dynamically sense the VM workload to allocate network resources on demand, and can ensure the scalability of the VM while improving the performance of the system. We combine the advantages of I/O para-virtualization and SR-IOV technology, and use a limited number of virtual functions (VFs) to ensure the performance of network-intensive VMs, thereby improving the overall network performance of the system. For non-network-intensive VMs, the scalability of the system is guaranteed by using para-virtualized Network Interface Cards (NICs) which are not limited in number. Furthermore, to be able to allocate the corresponding bandwidth according to the VM’s network workload, we hierarchically divide the VF’s network bandwidth, and dynamically switch between VF and para-virtualized NICs through the active backup strategy of Bonding Drive and ACPI Hotplug technology to ensure the dynamic allocation of VF. Experiments show that the allocation framework can effectively improve system network performance, in which the average request delay can be reduced by more than 26%, and the system bandwidth throughput rate can be improved by about 5%.

Period-Varying Sampling Scheme for Networked Control Systems

2011 ◽  
Vol 279 ◽  
pp. 445-450
Author(s):  
Yan Shen ◽  
Bing Guo
Keyword(s):  
Control Systems ◽  
Bp Neural Network ◽  
Network Performance ◽  
Networked Control Systems ◽  
Sampling Period ◽  
Data Packet ◽  
Networked Control ◽  
Sampling Scheme ◽  
Network Resources ◽  
Current Sampling

In the networked control systems, control performance and network performance are closely related to the sampling period influenced by the network-induced delay. So in order to improve the network performance by adjusting the current sampling period, a period-vary sampling scheme is proposed based on an adjuster for the sampling period designed. In this scheme, the adjuster consists of a monitor, which acquires network resources utilization and the executive time of data packet, and a predictor, which uses BP neural network to predict the next sampling period by utilizing network resources utilization and data packet executive time. The simulation results show that the proposed scheme can alleviate the influence of time delay and improve the performance of the networked control systems.

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