Handoff Control in Satellite Communication Applying Multi Billboard Manager Method

LEO satellites play an important role in global communication system. LEO satellites have some advantages over GEO and MEO satellites, in respect of power requirement, end-to-end delay & more efficient frequency spectrum. But the main problem of LEO satellite, is that they have large relative speed than the speed of mobile nodes (MN) and earth, so that the handover occurrence is more. As a result, the call blocking probability (Pb ) and force call termination probability (Pf ) is higher. To overcome this problem, Billboard manager based handover (BMBHO) was introduced to reduce the scanning time significantly and also to reduce the Pf . But the main problem of single billboard manager (BM) is that, since all handover requests have to be processed from a single point. In this paper, we have proposed the concept of multi-billboard manager based handover (MBMHO) method to resolve this problem. Thus, handover request will be served more efficiently so that both Pb and Pf are minimized than the BMBHO method.

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Performance analysis of call blocking probability in LEO satellite networks

2008 International Conference on Information and Automation ◽

10.1109/icinfa.2008.4608255 ◽

2008 ◽

Author(s):

Zhiguo Hong ◽

Yongbin Wang ◽

Minyong Shi

Keyword(s):

Performance Analysis ◽

Blocking Probability ◽

Satellite Networks ◽

Call Blocking ◽

Call Blocking Probability ◽

Leo Satellite Networks ◽

Leo Satellite

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Modeling the Behavior of IPTV Users with Application to Call Blocking Probability Analysis

PIK - Praxis der Informationsverarbeitung und Kommunikation ◽

10.1515/pik-2012-0014 ◽

2012 ◽

Vol 35 (2) ◽

Cited By ~ 3

Author(s):

Alireza Abdollahpouri ◽

Bernd E. Wolfinger ◽

Junyu Lai ◽

Catalin Vinti

Keyword(s):

Blocking Probability ◽

Probability Analysis ◽

Call Blocking ◽

Call Blocking Probability

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REDUCING CALL BLOCKING PROBABILITY IN HYBRID MULTICAST WAVELENGTH DIVISION MULTIPLEXING NETWORKS USING WEIGHTED ROUTING AND WAVELENGTH ASSIGNMENT ALGORITHM

Journal of Computer Science ◽

10.3844/jcssp.2014.224.232 ◽

2014 ◽

Vol 10 (2) ◽

pp. 224-232

Author(s):

Sankar

Keyword(s):

Wavelength Division Multiplexing ◽

Blocking Probability ◽

Routing And Wavelength Assignment ◽

Wavelength Assignment ◽

Call Blocking ◽

Call Blocking Probability ◽

Wavelength Division ◽

Assignment Algorithm ◽

Wavelength Division Multiplexing Networks

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Estimation of Always Best Connected Network in Heterogeneous Environment Based on Prediction of Recent Call History and Call Blocking Probability

International Journal of Mobile Computing and Multimedia Communications ◽

10.4018/ijmcmc.2013100101 ◽

2013 ◽

Vol 5 (4) ◽

pp. 1-14

Author(s):

Bhuvaneswari Mariappan ◽

Shanmugalakshmi Ramachandran

Keyword(s):

Heterogeneous Network ◽

Blocking Probability ◽

Design Parameters ◽

Heterogeneous Environment ◽

Bandwidth Utilization ◽

Call Blocking ◽

Call Blocking Probability ◽

Connected Network ◽

Always Best Connected ◽

User Centric

Presently, the emergence of 4G heterogeneous network has attracted most of the user centric applications like video chatting, online mobile interactive classroom besides voice services. To facilitate such bandwidth hungry multimedia applications and to ensure QoS (Quality of Service), Always Best Connected (ABC) network is to be selected among available heterogeneous network. The selection of the ABC network is based on certain design parameters such as cost factor, bandwidth utilization, packet delivery ratio, security, throughput, delay, packet loss ratio and call blocking probability. In this paper, all the above mentioned design parameters are considered to evaluate the performance of Always Best Connected network under heterogeneous environment for mobile users. In addition, to select Always Best Connected network in a heterogeneous environment, a novel parameter namely recent call history-‘rch' is proposed to predict the call blocking probability (Cbp) of a network.The estimation of ‘rch' parameter in terms of Cbp avoids unnecessary hand-off and enhances the effective bandwidth utilization of a cellular network under heavy load condition.A QoS mapper submodule is proposed in the QoS broker module to predict the ‘rch' parameter of a network to select an optimum network. Further, a statistcal model based on Bayesian network using the data on recent call history is applied for Cbp estimation and simulated over various heterogeneous environment condition. The simulated results show improved performance of user centric applications when compared with non-predictive methods.

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