Research On Access Algorithm For Heterogeneous Wireless Network With High Dynamic

With the diversification of wireless services,customers' demand for quality of service has increased.As a result,a variety of wireless access technologies coexist,forming a heterogeneous wireless network environment.The coexistence of a variety of wireless networks and the roaming characteristics of terminals are bound to bring the access network environment with high dynamic.Especially with the emergence of 5G super-dense networking and mass terminals,this high dynamic will be more prominent.However,the current network access scheme is difficult to adapt to network scenario with high dynamic.Therefore,this thesis studies the influence of dynamics for network access algorithms,and proposes corresponding solutions from the two perspectives which are the number of users and the speed of movement.The main work of this thesis are as follows:1.Aiming at the future highly dynamic network environment,an adaptive access algorithm is proposed in order to increase the number of system access users,improve the network throughput and balance the network load.Firstly,the maximum transmission rate is calculated based on the received signal strength and available bandwidth.Secondly,according to allocated bandwidth and the bandwidth required by users,the number of remaining service users is deduced.Thirdly,the blocking rate is estimated based on the number of new users and the number of remaining service users.Finally,combining the maximum transmission rate and blocking rate,an adaptive access algorithm aiming at maximizing network throughput is proposed.Simulation results show that the algorithm has been improved in terms of blocking rate,number of access users,network throughput and network load,and the algorithm can adapt to network with high dynamic.2.Aiming at the future highly dynamic network environment,in order to reduce the access times and improve the network throughput,an intelligent access algorithm is proposed to maximize the long-term and short-term benefits.Firstly,the maximum transmission rate of the user is calculated based on the received signal strength and available bandwidth,and is taken as the current benefit.Secondly,according to the characteristics of the user's movement,the transmission rate of the user at the next few moments can be predicted,which can be regarded as a long-term benefit by combining a method of weight decreasing.Finally,the current benefit and the long-term benefit are combined according to the user's moving speed.Simulation results show that the algorithm has been improved in terms of access times and network throughput,and can adapt to users with different mobile speeds.