Dynamic congestion control based on delay, service partitioning and prioritization in mobile WiMAX IEEE802.16e

Abstract

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 %.