Paper Info
Title
Analyzing impact of path loss models on probability characteristics of wireless network with licensed shared access framework
Abstract
In the modern world there is an intensive increasing of global mobile data traffic in multi-service mobile networks, in particular networks based on LTE technology. In 5th generation (5G) wireless network some of the key drivers of data traffic growth are machine type communications (MTC) or machine-to-machine (M2M) services. Various MTC devices such as smart meters and sensors form the basis of smart cites and homes. Expanding the range of services provided through the mobile networks leads to increasing of quality of service (QoS) requirements by the mobile operators. It is necessary to use the frequency spectrum as efficiently as possible, to provide the services with the required QoS level. Therefore, in this paper we investigate the question how to more efficiently transmit the information in particular from MTC devices via a wireless network, which is primarily used for human-to-human (H2H) communications. The efficiency of data transmission is affected by the applied radio resource management (RRM) mechanism and the selected RRM scheduler. Also, the transfer of information depends on such secondary parameters as the MTC devices positons within a cell, the uniqueness of the terrain, etc. These characteristics have a significant effect on the reduction in power density (attenuation) or so-called path loss (PL). We propose an approach for analyzing the performance measures of one of the 3GPP wireless network models by implementing different PL scenarios. For more eDcient usage of frequency spectrum we consider scheme model within licensed shared access (LSA) framework.
Year
DOI
Venue
2017
10.1109/ICUMT.2017.8255189
2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Keywords
Field
DocType
wireless network,machine-to-machine,M2M devices,round robin,path loss,queuing system,blocking probability,mean bit rate,average number of M2M devices
Mobile computing,Radio resource management,Wireless network,Data transmission,Computer science,Computer network,Quality of service,Path loss,Mobile broadband,Mobile telephony,Distributed computing
Conference
ISSN
ISBN
Citations 
2157-0221
978-1-5386-3436-3
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Ekaterina V. Markova171.65
Iliya Dzantiev210.70
Irina Gudkova36912.82
Sergey Shorgin41912.04