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Authors: Pamela Aloo ; Djouani Karim ; B. van Wyk and M. O. Odhiambo

Affiliation: French South Africa Technical Institute of Electronics, Tshwane University of Technology, South Africa

Keyword(s): Cellular networks, Fuzzy logic controller, Dynamic pricing, Quality of service (QoS), Network resources, Network status information, Network set point, Revenue.

Related Ontology Subjects/Areas/Topics: Congestion and Admission Control ; Flow and Congestion Control ; Mobile Software and Services ; Telecommunications ; WiMAX, LTE, WMANs, and New Emerging Broadband Wireless Networks ; Wireless and Mobile Technologies ; Wireless Information Networks and Systems

Abstract: Accurate forecasting of demand for cellular services is essential. The high infrastructure implementation costs involved plus overestimation of demand can be very costly. In addition the difference between peak and off-peak demands for wireless services can be very significant, both temporary and spatially. Gearing the network to meet peak demand would result in under-utilised network capacity most of the time. It has been suggested that real-time or dynamic pricing (variation of tariff according to network utilization) could provide an additional strategy for encouraging more efficient use of available resources. The aim of this research work is to investigate the implementation a Fuzzy Logic Controlled Dynamic Pricing (FLCDP) in a simulated cellular network for improved quality of service (QoS). Improvement in revenue collection is also investigated. Simulations were carried out using MATLAB. The results show that the network utilization is improved and an increase in the system av ailability and reliability: which are the two major parameters for QoS measurement. The revenue collected under FLCDP is greater than under flat rate pricing. (More)

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Paper citation in several formats:
Aloo, P.; Karim, D.; van Wyk, B. and O. Odhiambo, M. (2010). FUZZY LOGIC BASED DYNAMIC PRICING SCHEME FOR PROVISION OF QOS IN CELLULAR NETWORKS. In Proceedings of the International Conference on Wireless Information Networks and Systems (ICETE 2010) - WINSYS; ISBN 978-989-8425-24-9, SciTePress, pages 67-74. DOI: 10.5220/0002961400670074

@conference{winsys10,
author={Pamela Aloo. and Djouani Karim. and B. {van Wyk}. and M. {O. Odhiambo}.},
title={FUZZY LOGIC BASED DYNAMIC PRICING SCHEME FOR PROVISION OF QOS IN CELLULAR NETWORKS},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems (ICETE 2010) - WINSYS},
year={2010},
pages={67-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002961400670074},
isbn={978-989-8425-24-9},
}

TY - CONF

JO - Proceedings of the International Conference on Wireless Information Networks and Systems (ICETE 2010) - WINSYS
TI - FUZZY LOGIC BASED DYNAMIC PRICING SCHEME FOR PROVISION OF QOS IN CELLULAR NETWORKS
SN - 978-989-8425-24-9
AU - Aloo, P.
AU - Karim, D.
AU - van Wyk, B.
AU - O. Odhiambo, M.
PY - 2010
SP - 67
EP - 74
DO - 10.5220/0002961400670074
PB - SciTePress