Research On Access Point Selection Strategy And Resource Allocation Algorithm Of LWA System

Wireless heterogeneous network is becoming one of the key evolution paths for wireless communication networks in the future,where the integration of various wireless networks may be viewed as a major trend.The LWA(LTE WLAN AGGREGATION)system plays an important role in improving system spectrum efficiency,energy efficiency,network system capacity,and data transmission rate.However,with the large-scale deployment and use of LWA systems,LWA network technology not only brings the above advantages,but also gives rise to some unique problems and technical challenges,such as network access point selection and resource allocation.In this regard,this thesis focuses on the above two issues:In the LWA network,the large number of users accessing LTE network results in the overload of LTE network,and therefore it is not always possible to guarantee the user's QoS requirements.This thesis presents an optimal weighted multi-attribute decision,OWMAD,based algorithm for UEs to select their access point in the network.The proposed scheme obtains the total weighting value of the candidate access point by using the optimal weight and the attribute value of the multi-attribute decision scheme,and selects the network access point with the smallest weighting value to connect.The proposed network access point selection algorithm can not only effectively improve the overall throughput of the LWA network and the UE throughput in the cell edge area,but also reduce the data delay and improve the spectrum efficiency.In LWA network,resource allocation is a particularly prominent topic.It mainly refers to the problem of the distribution of protocol data unit.This thesis,a data classification and minimum delay(DCMD)baesd PDU redirecting algorithm,which can not ameliorate the LWA network throughput and the fairness of resource allocation,but also alleviate the data transmission delay and the amount of system overhead that UE feedbacks in the whole procedure.According to different delay evaluation criteria,the proposed algorithm classifies the transmission data and selects the delay-sensitive network to transmit the data with less delay,and the network with relaytively large transmission delay to convey the delay-insensitive data.Simulation results show that the proposed algorithm can effectively improve the throughput of the system,UE throughput in the cell edge area and the user energy efficiency as well.