Connection Admission Control Reward Optimization for Different Priority Classes in Homogeneous Wireless Network

Nowadays, Connection Admission Control (CAC) reward optimization for a service with different priority classes in a homogeneous wireless network has become one of the most important issues. In this paper, a novel expansion for the Guard Channel Based Incremental and Dynamic Optimization algorithm is presented. GUIDO will be used to analyze a reward scheme that correlates service demand with weights on pricing, after which optimal weights are deduced for maximum system reward, taking into consideration QoS for the different priority classes. An analytical model is presented based upon Lagrangian Optimization criterion and is used to verify the optimal weights. The paper thus, suggests the optimal weights on pricing for maximum system reward and offers an analytical derivation for them.