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Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing

Includes bibliographical references.

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Main Author: Orimolade, Samson Oluwashina
Other Authors: Falowo, Olabisi E
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2015
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access_status_str Open Access
author Orimolade, Samson Oluwashina
author2 Falowo, Olabisi E
author_browse Falowo, Olabisi E
Orimolade, Samson Oluwashina
author_facet Falowo, Olabisi E
Orimolade, Samson Oluwashina
author_sort Orimolade, Samson Oluwashina
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/12940
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:38.153Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/12940 Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing Orimolade, Samson Oluwashina Falowo, Olabisi E Electrical Engineering Includes bibliographical references. Service providers, (or operators) employ pricing schemes to help provide desired QoS to subscribers and to maintain profitability among competitors. An economically efficient pricing scheme, which will seamlessly integrate users’ preferences as well as service providers’ preferences, is therefore needed. Else, pricing schemes can be viewed as promoting social unfairness in the dynamically priced network. However, earlier investigations have shown that the existing dynamic pricing schemes do not consider the users’ willingness to pay (WTP) before the price of services is determined. WTP is the amount a user is willing to pay based on the worth attached to the service requested. There are different WTP levels for different subscribers due to the differences in the value attached to the services requested and demographics. This research has addressed congestion control in the heterogeneous wireless network (HWN) by developing a dynamic pricing scheme that efficiently incentivises users to utilize radio resources. The proposed Collaborative Dynamic Pricing Scheme (CDPS), which identifies the users and operators’ preference in determining the price of services, uses an intelligent approach for controlling congestion and enhancing both the users’ and operators’ utility. Thus, the CDPS addresses the congestion problem by firstly obtaining the users WTP from users’ historical response to price changes and incorporating the WTP factor to evaluate the service price. Secondly, it uses a reinforcement learning technique to illustrate how a price policy can be obtained for the enhancement of both users and operators’ utility, as total utility reward obtained increases towards a defined ‘goal state’. 2015-05-28T04:08:47Z 2015-05-28T04:08:47Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/12940 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Orimolade, Samson Oluwashina
Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
thesis_degree_str Master's
title Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
title_full Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
title_fullStr Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
title_full_unstemmed Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
title_short Congestion control in multi-serviced heterogeneous wireless networks using dynamic pricing
title_sort congestion control in multi serviced heterogeneous wireless networks using dynamic pricing
topic Electrical Engineering
url http://hdl.handle.net/11427/12940
work_keys_str_mv AT orimoladesamsonoluwashina congestioncontrolinmultiservicedheterogeneouswirelessnetworksusingdynamicpricing