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In the next Generation Networks like 4G, it is highly essential to create a market mechanism that... more In the next Generation Networks like 4G, it is highly essential to create a market mechanism that would allow the customer to communicate with network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical model that study the effect of pricing incentives as an additional strategy that optimally shapes the users’ traffic in terms of delay, service class partitioning, and prioritization for wireless users in Mobile WiMAX network. The percentage improvement of the Cumulative Revenue (CR) generated by the proposed model over Yaipairoj model ranges between 25 % and 100 %. The proposed model is able to reduce congestion by 21 %.
International Journal of Computer Applications, 2014
In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mech... more In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mechanism that would allow the customer to communicate with Network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical model that study the effect of pricing incentives as an additional strategy for encouraging a more efficient usage of limited network resources. A modified efficient dynamic pricing scheme for optimal network resource utilization in Mobile WiMAX network has been developed and validated. The percentage improvement of the Cumulative Revenue (CR) generated by the proposed model over the existing model ranges between 25% and 150% depending on the values of the Price Leveling Factor (PLF). The percentage improvement of the Cumulative Resource Efficiency Index (CREI) generated by the proposed model over the existing model ranges between 6% and 7.1% depending on the values of the Price Leveling Factor (PLF). The proposed scheme proved to generate more revenue per Bandwidth Utilization than the existing model.
In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mech... more In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mechanism that would allow the customer to communicate with Network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical model that study the effect of pricing incentives as an additional strategy for encouraging a more efficient usage of limited network resources. An efficient dynamic pricing scheme for optimal network resource utilization in Mobile WiMAX network has been developed and validated. The percentage improvement of the Cumulative Revenue (CR) generated by the proposed model over the existing model ranges between 25 % and 150 ...
International Journal of Computer Applications, Oct 18, 2014
In the Next Generation Networks like 4G, it is highly essential to create a market mechanism that... more In the Next Generation Networks like 4G, it is highly essential to create a market mechanism that would allow the customer to communicate with network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical models that study the effect of pricing incentives as an additional strategy for encouraging a more efficient usage of limited network resources. This paper has examined a real-time resource trading between the customers and network providers based on principles of economic utility, pricing and QOS. A price and utility-based CAC scheme using combined concepts from network, engineering design, concepts from economics and user behavior has been mathematically formulated to provide an overall call admission strategy that simultaneously alleviates the network congestion, meets the QoS requirements of users, increases the network operator revenue and uses the network resources efficiently. The parameterized utility and acceptance probability functions that explicitly represent the interactions and negotiations of resource allocations between a Next Generation Network and its wireless users have been developed and validated. The performance of the proposed integrated approach has been compared with the existing model. The Cumulative Resource Efficiency (CRE) index in the proposed pricing and utility scheme has outperformed the existing model by 6%.
In the next Generation Networks like 4G, it is highly essential to create a market mechanism that... more In the next Generation Networks like 4G, it is highly essential to create a market mechanism that would allow the customer to communicate with network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical model that study the effect of pricing incentives as an additional strategy that optimally shapes the users’ traffic in terms of delay, service class partitioning, and prioritization for wireless users in Mobile WiMAX network. The percentage improvement of the Cumulative Revenue (CR) generated by the proposed model over Yaipairoj model ranges between 25 % and 100 %. The proposed model is able to reduce congestion by 21 %.
International Journal of Computer Applications, 2014
In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mech... more In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mechanism that would allow the customer to communicate with Network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical model that study the effect of pricing incentives as an additional strategy for encouraging a more efficient usage of limited network resources. A modified efficient dynamic pricing scheme for optimal network resource utilization in Mobile WiMAX network has been developed and validated. The percentage improvement of the Cumulative Revenue (CR) generated by the proposed model over the existing model ranges between 25% and 150% depending on the values of the Price Leveling Factor (PLF). The percentage improvement of the Cumulative Resource Efficiency Index (CREI) generated by the proposed model over the existing model ranges between 6% and 7.1% depending on the values of the Price Leveling Factor (PLF). The proposed scheme proved to generate more revenue per Bandwidth Utilization than the existing model.
In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mech... more In the next Generation Networks like Mobile WiMAX, it is highly essential to create a market mechanism that would allow the customer to communicate with Network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical model that study the effect of pricing incentives as an additional strategy for encouraging a more efficient usage of limited network resources. An efficient dynamic pricing scheme for optimal network resource utilization in Mobile WiMAX network has been developed and validated. The percentage improvement of the Cumulative Revenue (CR) generated by the proposed model over the existing model ranges between 25 % and 150 ...
International Journal of Computer Applications, Oct 18, 2014
In the Next Generation Networks like 4G, it is highly essential to create a market mechanism that... more In the Next Generation Networks like 4G, it is highly essential to create a market mechanism that would allow the customer to communicate with network and negotiate a contract based on some QoS parameters like blocking probability, delay, arrival rate, spectral efficiency, resource allocation and price. However, the mechanisms, rather than technical-oriented scheme, that involve the use of economic theories may provide better solutions to accommodate the high demand of mobile services. The purpose of this research work is to propose and validate mathematical models that study the effect of pricing incentives as an additional strategy for encouraging a more efficient usage of limited network resources. This paper has examined a real-time resource trading between the customers and network providers based on principles of economic utility, pricing and QOS. A price and utility-based CAC scheme using combined concepts from network, engineering design, concepts from economics and user behavior has been mathematically formulated to provide an overall call admission strategy that simultaneously alleviates the network congestion, meets the QoS requirements of users, increases the network operator revenue and uses the network resources efficiently. The parameterized utility and acceptance probability functions that explicitly represent the interactions and negotiations of resource allocations between a Next Generation Network and its wireless users have been developed and validated. The performance of the proposed integrated approach has been compared with the existing model. The Cumulative Resource Efficiency (CRE) index in the proposed pricing and utility scheme has outperformed the existing model by 6%.