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

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

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.

scholarly journals An Improved Handover Algorithm for LTE-A Femtocell Network

2020 ◽  
pp. 558-565
Author(s):  
Olusegun O. Omitola ◽  
◽  
Viranjay M. Srivastava
Keyword(s):  
Quality Of Service ◽  
Urban Area ◽  
Cellular Networks ◽  
Low Cost ◽  
Mobile Cellular ◽  
Femtocell Network ◽  
Mobile Cellular Networks ◽  
And Performance ◽  
Handover Algorithm

Femtocells have been regarded as low-power and low cost devices for enhancing the capacity and performance of mobile cellular networks. Apart from forming a two-tier network with the macrocell to offload traffic from the macrocell, femtocells can be deployed in an urban area to achieve more data rate with better Quality of Service (QoS). However, this is at the expense of increased frequency of the handover of the UEs from one femtocell to another femtocell. Selecting a particular femtocell for handover is a serious challenge in a femtocell/macrocell deployment environment. Similarly, managing the resulting handovers can be extremely difficult. Thus, this study presents an algorithm to improve handover in LTE-A femtocell network. The complexity of the algorithm was determined and the performance by comparing it with existing algorithm in terms of number of handovers and the ratio of target femtocells. The results have shown that the proposed algorithm outperformed the existing algorithm.

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