A Performance Evaluation of a Grid-Enabled Object-Oriented Parallel Outdoor Ray Launching for Wireless Network Coverage Prediction

Author(s):  
Zhihua Lai ◽  
Nik Bessis ◽  
Pierre Kuonen ◽  
Guillaume de la Roche ◽  
Jie Zhang ◽  
...  
Author(s):  
Noha Saeed Alhomrani, Sarra Al Habib Ouerghi

Communication systems depend on cell tower signals which affect the quality and efficiency of communications networks. In this paper, a prediction network coverage of 4G wireless network for operator “A” in Al Nuzhah city has been elaborated. The main objective is, firstly, to come up with prediction network maps showing the quality of communication networks in the study area and to identify areas with good and bad coverage, in order to maintain and improve coverage through relocating cell towers and antennas, increasing their number, or through installing new ones in bad coverage areas. Another objective is to compare this output with actual network coverage efficiency. In this study, GIS programs were adopted to handle, manage, process and analyze spatial and attribute data. GIS extensions were used to design communication networks such as the Mentum-Planet program through which prediction network coverage was calculated and represented. Cell towers and sectors data was first collected and then processed to generate the 4G coverage network prediction for operator "A" based on propagation model (Q9). Results were later compared to the network efficiency generated by the Drive Test. It was found that the signal strength was between -95 and -75 db. About 24.2% and 75.8% of the studied area had medium and excellent network coverage, respectively. The Drive Test showed areas of poor network coverage distributed throughout the study area. This research concluded that use of GIS in communications reduces cost and time of implementation. It is highly recommended to include building heights in the propagation model as it affects the spread of communication waves, to increase cell towers in poor coverage areas, and to modify the propagation model to ensure quality of service and efficient coverage.


2017 ◽  
Vol 5 (2) ◽  
pp. 55-69
Author(s):  
Daisuke Fujishima ◽  
Tomio Kamada

The field of parallel computing has experienced an increase in the number of computing nodes, allowing broader applications, including computations that have irregular features. Some parallel programming languages handle object data structures and offer marshaling/unmarshaling mechanisms to transpose them. To manage data elements across computing nodes, some research on distributed collections has been conducted. This study proposes a distributed collection library that can handle multiple collections of object elements and change their distributions while maintaining associativity between their elements. This library is implemented on an object-oriented parallel programming language, X10. The authors assume pairs of associative collections such as vehicles and streets in a traffic simulation. When many vehicles are concentrated on streets assigned to certain computing nodes, some of these streets should be moved to other nodes. The authors' library assists the programmer in easily distributing the associative collections over the computing nodes and collectively relocating elements while maintaining the data sharing relationship among associative elements. The programmer can describe the associativity between objects by using both declarative and procedural methods. They show a preliminary performance evaluation of their library on a Linux cluster and the K computer.


2021 ◽  
pp. 381-390
Author(s):  
Mustafa Sabah Noori ◽  
Ratna Kalos Zakiah Sahbudin ◽  
Mohammed Salah Abood ◽  
Mustafa Maad Hamdi

Waterlines ◽  
1993 ◽  
Vol 12 (2) ◽  
pp. 29-31 ◽  
Author(s):  
Vinay Pratap Singh ◽  
Malay Chaudhuri

Sign in / Sign up

Export Citation Format

Share Document