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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%. General Terms: Price and Utility based Congestion Control, Multi-Criteria-Multi-Quadrant (MCMQ) approach, Total Revenue Generated, Total Allocated Resources, and Cumulative Resource Allocated (CRA).

Efficient Price and Utility based Congestion Control in the Next Generation Networks 4G