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

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

Bhuvaneswari Mariappan (Electronics & Communication Engineering, Bharathidasan Institute of Technology, Anna University Chennai, Chennai, Tamil Nadu, India) and Shanmugalakshmi Ramachandran (Government College of Technology, Coimbatore, Tamil Nadu, India)
DOI: 10.4018/ijmcmc.2013100101
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Abstract

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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1. Introduction

The advent of telecommunication has greatly reduced the communication distance between users. However, the emergence of cellular generations from 1G to present 4G has attracted a large number of users to enjoy many value added services like mobile multimedia applications, videoconferencing, online classroom besides voice services. The main challenge is to provide seamless and always best connected services to the demanding mobile user in hostile environments (Marques V., et al., 2003). However, the trade- off between bandwidth and delay of Always Best Connected network for bandwidth hungry applications in the vicinity of heterogeneous network is still a research issue.

In a wireless network, mobile multimedia users face challenges when the user is handed over to an entirely different wireless network from the recently served network. This is due to the incompatibility of the architectural and technical specification of different networks. For instance, consider a mobile user roaming between networks such as 3G cellular and WLAN during an ongoing video streaming session. Here, the most critical parameters of interest for seamless service to the user are minimum delay, efficient bandwidth utilization factor, low call blocking probability and minimum cost factor.

In any wireless network, minimum delay for real time applications is obtained by using a higher data rate interface, merging of network elements to reduce the hop distance and reserving the resources along the shortest path. However as in Xiao, Chen, and Wang (2000) by carefully rearranging the scheduling access of non-real time applications and also by bandwidth upgradation and degradation methods, bandwidth could be efficiently utilized in wireless networks.A network can have low call blocking probability by using load balancing concept.Lastly, the cost of the service could be reduced by proper network planning and management process.

In the proposed approach, the behavior of network is predicted based on novel parameter namely recent call history-‘rch’.The estimation of ‘rch’ reflects the call blocking probability of networks.This anticipation of wireless network status are more pronounceable during handover situations besides conventional channel borrowing strategy. So, by estimating the ‘rch’ of a network, the future behavior of the network is predicted and the prediction is utilized for further planning to achieve the performance evaluation parameters of Always Best Connected networks.As far as heterogeneous network is concerned,the optimal network selection is itself is a research issue (Sehgal & Agrawal, 2010) .The authors Sehgal and Agrawal (2010), Lahby, Mohammedia, Morocco and Adib (2013), Shen and Zeng (2008) selected the optimal network based on user preference and QoS parameters such as cost, bandwidth, distance and security but,however the network is not studied over long term/average period similar to Malanchini, Cesana and Gatti (2012) and Jiang, Li, Hou, et al. (2013).

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