Predictive Methods of Always Best-Connected Networks in Heterogeneous Environment

2019 ◽  
pp. 48-64
Author(s):  
Bhuvaneswari Mariappan
Keyword(s):  
Heterogeneous Network ◽  
Blocking Probability ◽  
Base Stations ◽  
Design Parameters ◽  
Delivery Ratio ◽  
Heterogeneous Environment ◽  
Bandwidth Utilization ◽  
Call Blocking Probability ◽  
Always Best Connected ◽  
Interactive Classroom

Heterogeneous networks are comprised of dense deployments of pico (small cell) base stations (BSs) overlaid with traditional macro BSs, thus allowing them to communicate with each other. The internet itself is an example of a heterogeneous network. Presently, the emergence of 4G and 5G heterogeneous network has attracted most of the user-centric applications like video chatting, online mobile interactive classroom, and 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 chapter, all the above-mentioned design parameters are considered to evaluate the performance of always best-connected network under heterogeneous environment for mobile users.

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

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.

scholarly journals CAC DPLB MCN: A Distributed Load Balancing Scheme in Multimedia Mobile Cellular Networks

2016 ◽  
Vol 41 (4) ◽  
pp. 261-296
Author(s):  
Abhijit Sharma ◽  
Arvind Shah ◽  
Monish Chatterjee ◽  
Uma Bhattacharya
Keyword(s):  
Load Balancing ◽  
Dynamic Pricing ◽  
Service Providers ◽  
Blocking Probability ◽  
Fractional Frequency Reuse ◽  
Bandwidth Utilization ◽  
Best Interest ◽  
Call Blocking ◽  
Traffic Demand ◽  
Call Blocking Probability

Abstract The problem of non-uniform traffic demand in different cells of a cellular network may lead to a gross imbalance in the system performance. Thus, the users in hot cells may suffer from low throughput. In this paper, an effective and simple load balancing scheme CAC_DPLB_MCN is proposed that can effectively reduce the overall call blocking. This model considers dealing with multi-media traffic as well as time-varying geographical traffic distribution. The proposed scheme uses the concept of cell-tiering thereby creating fractional frequency reuse environment. A message exchange based distributed scheme instead of centralized one is used which help the proposed scheme be implemented in a multiple hot cell environment also. Furthermore, concept of dynamic pricing is used to serve the best interest of the users as well as for the service providers. The performance of the proposed scheme is compared with two other existing schemes in terms of call blocking probability and bandwidth utilization. Simulation results show that the proposed scheme can reduce the call blocking significantly in highly congested cell with highest bandwidth utilization. Use of dynamic pricing also makes the scheme useful to increase revenue of the service providers in contrast with compared schemes.

Call Admission Control Algorithm with Efficient Handoff for Both 4G and 5G Networks

2021 ◽  
Vol 13 (2) ◽  
pp. 1-08
Author(s):  
Maharazu Mamman ◽  
Zurina Mohd Hanapi
Keyword(s):  
Admission Control ◽  
Mobile Networks ◽  
Call Admission Control ◽  
Blocking Probability ◽  
Health Sector ◽  
5G Networks ◽  
Transportation Energy ◽  
Call Blocking Probability ◽  
Call Admission ◽  
Performance Challenges

Recently, many generations of mobile networks have changed from one transition to another transition. The mode of transition from the first generation (1G) to the fifth generation (5G) is characterized by a lot of performance challenges such as delay, speed of the users, mobility, and variety of services. Currently, different from prior generations, 5G is not only concerned with the mobile networks but also, with various applications and different services such as health sector, transportation, energy consumption, safety well as Smart City. All these services are incorporated by 5G. In this paper, we proposed a call admission control (CAC) algorithm with an efficient handoff for both 4G and 5G networks. Simulation is used to evaluate the effectiveness of the proposed algorithm, and the obtained results indicate it considerably performs better than do other algorithms based on valuable metrics such as data throughput, call blocking probability (CBP), and call dropping probability (CDP).

Minimization of Call Blocking Probability using Auxiliary Stations

2011 ◽  
Vol 25 (7) ◽  
pp. 50-56
Author(s):  
Debabrata Sarddar ◽  
Shubhajeet Chatterjee ◽  
Pulak Mazumder ◽  
Mandovi Mukherjee ◽  
Sreya Mallik ◽  
...  
Keyword(s):  
Blocking Probability ◽  
Call Blocking ◽  
Call Blocking Probability
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