Diagnosis And Optimization Of Millimeter Wave Network Transmission System's Performance

With the rapid development of network technology,network equipment is becoming more and more popular.The increasing number of network equipment has caused the wireless communication spectrum resources to become more and more tight.The demand for communication data transmission rates is increasing gradually.The 60 GHz millimeter wave has an unlicensed bandwidth of approximately 7 GHz(57-64)and can provide transmission rates on the order of Gb/s.However,the directivity and channel sparsity make communication systems prone to misalignment of clients or beams when network failures occur,such as movement or obstruction,leading to link interruptions or degradation of link quality.Recent studies have shown that commercial millimeter-wave radios can produce imperfect beam patterns,which can cause non-negligible interference.At the same time,the irregular beam pattern can cause non-negligible interference,especially for dense networks with multiple APs and multiple clients.This article implements a multi-AP multi-client 60GHz millimeter wave transmission system for a specific indoor environment.In actual scenarios,when a network fault occurs is uncertain,and the problem of waste of resources and untimely optimization will be caused too early or too late.The timing of network optimization is very important.Therefore,this paper proposes a fault-based adaptive network optimization mechanism,that is,to optimize the system when the network detects a fault.This paper uses machine learning to learn a large number of hidden information from data,learns the specific environment in which the system is located,and implements a machine learning-based network fault detection framework.In addition,the traditional 60GHz beam alignment strategy is exhaustive,which will increase time complexity.Using beamforming technology,this paper proposes a greedy iterative client-beam joint network optimization strategy.This strategy has less time overhead than the exhaustive method.At the same time,due to the influence of interference,the overall throughput is also better than the traditional method Greater improvement.The multi-AP and multi-client millimeter-wave transmission system designed in this paper has both network diagnosis and optimization functions.The network diagnosis results are used for network optimization.This strategy is used to optimize and improve transmission performance.Experimental results show that the strategy improves the system.Overall throughput and reduced complexity.Through simulation,the results also prove that the strategy greatly reduces the time overhead of beam pairing between the sender and receiver.