Optimizing the handover call blocking probability in cellular networks with high speed moving terminals

In this paper, in order to balance the network load and make a part of the stations into the sleep mode, we adopted a load balancing scheme in relay-assisted cellular networks. In the proposed distributed algorithm, relay station only needs to exchange information with its neighboring which bases stations and makes a re-association decision by itself. So it can balance the load and decrease the call blocking probability, and then reduce the network energy consumption. According to the approach of tabu search, we can find the optimal mode combination and ensure the Qos (quality of service) which is presented.

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Modeling and Performance Analysis for Cell Access and Handoff Schemes in Two-Tier Cellular Networks

Mathematical Problems in Engineering ◽

10.1155/2014/860729 ◽

2014 ◽

Vol 2014 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Kyungkoo Jun ◽

Sijung Kim

Keyword(s):

Cellular Networks ◽

Performance Metrics ◽

Blocking Probability ◽

Analytical Models ◽

Call Blocking ◽

Call Blocking Probability ◽

Mobile Stations ◽

And Performance ◽

Drop Rate ◽

Handoff Schemes

We investigate the effects of handoff on system performance in two-tier cellular networks. Two of the main performance metrics are new call blocking probability and handoff drop rate. We develop analytical models to evaluate the performance of two different handoff schemes. One scheme considers only femto-to-macrocell handoff while the other is bidirectional including macro-to-femtocell handoff. Our model is more elaborate than existing ones which have not considered the mobility of mobile stations. Numerical results show that the bidirectional scheme performs better than the femto-to-macrocell handoff as it achieves lower blocking probability and drop rate.

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Analysis of channel allocation and management using tlbo, ga & de algorithms in cellular networks

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.17.11555 ◽

2018 ◽

Vol 7 (2.17) ◽

pp. 40

Author(s):

M Mounika ◽

Md Sharmila ◽

M Prasanna Gowri ◽

K Tejasvi ◽

M Siva Ganga Prasad

Keyword(s):

Cellular Networks ◽

Mobile Networks ◽

Error Probability ◽

Channel Allocation ◽

Blocking Probability ◽

Network Throughput ◽

Project Work ◽

Call Blocking ◽

Call Blocking Probability ◽

Teaching Learning

Accuracy of spectrum sensing in cellular mobile networks can be increased by reducing the sensing error probability, call blocking probability & by increasing network throughput. In our Project work, an advanced algorithms like Teaching Learning Based Optimization (TLBO), Genetic (GA) and Differential Evaluation (DE) Algorithms are used to analyze the sensing error probability, call blocking probability and network throughput. We will propose a channel allocation and management scheme with the above mentioned algorithms for supporting mobile users. With the help of these algorithms, sensing error and call blocking probabilities are analyzed to find out an optimal value for reducing the errors to some extent and improving network throughput. Channel Allocation in cellular networks is a key aspect with channel impairments and non-ideal antenna patterns. Finally, performance analysis is done through comparison of simulation results.

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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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