Preference Based Pso For Utility Optimization in Broadband Digital Economy

Efficient data transfer in broadband networks is the anchor point of digital economy in modern era. one of the most challenging issues for providing different services in broadband is the bandwidth allocation. that is a realtime multi-dimensional problem solving requiring to satisfy qos and sla constraints at the same time. this problem is economically defined as a utility optimization issue aiming to maximize user profits. in this paper, we present an adaptive framework for the problem of optimal utility optimization of bandwidth allocation to broadband services. we used first an online optimization for the allocation based on user preferences and network utility maximization. our second solution is a particle swarm optimization method in order to consider both parameters at the same time to find an optimal allocation pattern. simulation results showed satisfactory bandwidth allocation patterns in different scenarios according to the network utility and user preferences in sla.