Research Of Wireless Resource Allocation Algorithm Based On BLUF

In recent years, wireless mobile communication is developing fleetly and wireless mobile users are growing rapidly. Wireless mobile communication system is required to provide more data, image, video and other multimedia information for users. These requirements lead more wireless resources occupied. The conflicts between Quality of Service and scarce resources let what kind of approach should be made to allocate limited wireless resources efficiently and support more users and a variety of businesses become an important research topic.Resource scheduling algorithm is used to allocate system resource, including resource allocation, power control and allocation, switching and call admission control, which algorithm improves efficiency of mobile communication system through managing usage situation of wireless channel and power. Resource scheduling stands data in a line at the arrived node, is a method of allocating wireless resource of mobile communication according as given regulation. The main function of resource scheduling is enhancing system efficiency and guaranteeing Quality of Service (QoS) requirements, in mobile communication system.Results of simulations are given to demonstrate that the proposed algorithm can give considerable throughput gains without compromising fairness. Designing effective algorithm to satisfy QoS and fineness of users is an important problem in resource allocation for multi-user of wireless networks, while making full use of the limited resource. In this paper, we propose a multi-user wireless packet scheduling algorithm based on buffer-length-utility function (BLUF) that is able to schedule real-time (RT) voice traffics and RT video traffics at the same time while supporting multiple users simultaneously at any given scheduling time instant., namely BLUF algorithm. The algorithm uses the BLUF as a scheduling urgency factor and the relative status of the current channel to the average channel status as an efficiency indicator of resource usage and fineness by taking channel's time-varying property into full consideration, denote diverse and unstable channel model by using four-state Markov model, and simulate Markov model and all algorithms in OPNET environment. The simulation study shows that the algorithm is able to give better throughput and fairness than existing algorithms such as proportional fair scheduling (PFS), while satisfying the QoS requirements of RT traffics such as average delay and packet loss rate under various traffic loads.