Quality of Service and Differentiated Service in Cellular Networks

2005 ◽  
Vol 5 (9) ◽  
pp. 1523-1527 ◽  
Author(s):  
Mohammod Shamim Hos ◽  
M. Anwar Hossain .
Keyword(s):  
Quality Of Service ◽  
Cellular Networks ◽  
Differentiated Service

An adaptive quality of service channel borrowing algorithm for cellular networks

2003 ◽  
Vol 16 (8) ◽  
pp. 759-777 ◽  
Author(s):  
Ibrahim Habib ◽  
Mahmoud Sherif ◽  
Mahmoud Naghshineh ◽  
Parviz Kermani
Keyword(s):  
Quality Of Service ◽  
Cellular Networks ◽  
Service Channel ◽  
Channel Borrowing

Experimental Research on Diffserv-Aware MPLS Traffic Engineering

2012 ◽  
Vol 263-266 ◽  
pp. 1858-1863
Author(s):  
Jin He Zhou ◽  
Guo Min Xia
Keyword(s):  
Quality Of Service ◽  
Experimental Research ◽  
Packet Loss ◽  
Traffic Engineering ◽  
High Performance ◽  
Loss Rate ◽  
Differentiated Services ◽  
Packet Loss Rate ◽  
Differentiated Service

Diffserv-aware and Traffic Engineering combine the advantages of MPLS, Traffic Engineering (TE) and Differentiated Services (Diffserv, DS) to provide high performance and Quality of Service(QoS) in networks. We have designed three scenarios on Juniper Networks platforms to analyze the packet loss rate and delay for video, voice and data. The results show that MPLS DS-TE can improve the QoS for differentiated service effectively. The research has practical value for the development of DS-TE based on MPLS.

scholarly journals Quality of Service Concerns in Wireless and Cellular Networks

2013 ◽  
pp. 1-15 ◽  
Author(s):  
Farnaz Farid ◽  
Seyed Shahrestani ◽  
Chun Ruan
Keyword(s):  
Quality Of Service ◽  
Cellular Networks

scholarly journals Reducing the Frequent Switch Over between the Base Stations through Continuous Analysis of Signal Strength

2018 ◽  
Vol 7 (1) ◽  
pp. 99-103
Author(s):  
M. R. Regitha ◽  
Varghese Paul
Keyword(s):  
Quality Of Service ◽  
Cellular Networks ◽  
Mobile Networks ◽  
New Technologies ◽  
Mobile Station ◽  
Movement Pattern ◽  
Signal Strength ◽  
Base Stations ◽  
Continuous Analysis

As the increase in the number of mobiles and mobile networks, the existing standards and technologies face several issues and challenges. In the mobility management of cellular networks, HO is the important parameter on which these issues and challenges affect drastically. Several research papers have proposed many ideas and schemes to reduce HO latency. As the increase in the number new technologies and networks, the existing ideas are no longer supported efficiently. So a continuous analysis on handover (HO) procedure is required. Signal strength (SS) and quality of service (QoS) are measured at particular time intervals in cellular networks. Results show that the highest value of signal strength has the best quality of service. In this paper, a continuous analysis on signal strength received by the mobile station (MS) is used to monitor the HO process to reduce the HO delay. In this analysis, the parameters user movement pattern, topological position, signal strength and time are used which will be helpful to forecast the HO in advance. Using HO forecast minimum number of frequent switch over between the base stations (BSs) reduces the HO latency in mobile networks.

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