5G Scenarios-oriented Research On The Mobile Communication And Networks Optimization

High quality communication experience is always the pursuit of the field of mobile communication technology.With the especially rapid development of information technology,mobile Internet and internet of things have become the two major driving forces in the future of mobile communication,and then the four main research directions of the fifth generation mobile communication technology(5G)are summed up,which are continuous wide area coverage,hotspot with high capacity,low power consumption with massive connections,low latency with high reliability.This paper will carry out research on the above requirements.Firstly,according to the requirement of high-speed mobile environment for 5G system,the factors that affect the quality of communication and their relationship and the method of reducing time delay are studied.On the basis of this,centering on information content transmission and distribution,the 5G mobile communication network architecture,which is based on the content center network technology,is proposed.By use of ndnSIM 2.0 platform,this paper simulates the performance characteristics of the network architecture,and compares it with the high-speed mobile communication system(GSM-R)network.The results show that compared with the traditional TCP/IP architecture of mobile communication network,the network architecture proposed in this paper can effectively reduce the transmission delay and forward delay,and improve the reliability of the system.Improving spectrum utilization efficiency and increasing the density of base stations are the theoretical and engineering issues of network design and deployment,and relative technologies are becoming a hot research topic in the field of mobile communication technology for a long term.In order to improve the precision of measure of wireless network noise and interference,A kind of parallel detection technique based on timeslot sliding window of training sequence code is proposed,which can achieve the full band(including broadcast channel and dedicated traffic channel)frequency measurement of each slot power and C/I in complete frame period,and can effectively distinguish idle or busy state of slot in the timeslot scanning process,and can precisely identify and locate both co-frequency and adjacent frequency interference signal from different cells.The results have been applied in practical engineering,and it is of practical value for network planning and network optimization.At the same time,according to the acquisition of massive wireless network testing data,this paper puts forward a kind of convergent slide-window model correction method of air interface data to calibrate the propagation model with fine granularity,and combined with the center of gravity polygon positioning algorithm realizes base station sites optimization in complicated deployment scenarios.On this basis,with the introduction of cloud computing,GIS,big data processing technology,the mobile communication network structure and characteristics can be acquired and analyzed,which lays a foundation for the further optimization of the network.The results have been applied in practical engineering.The results show that the proposed method can reduce the complexity and cost of the ultra dense network deployment,and has great practical value for the sites optimization and network planning in need of the continuous wide area coverage and hotspot with high capacity.Besides,for secure application scenarios of self-organizing sensor networks,this paper studies the trust model of cluster head election,and proposes a new cluster head selection algorithm based on fuzzy logic,which considers the security characteristics of nodes.As simulation results show,the algorithm calculates trust value of node and detects malicious nodes by use of trust management scheme based on beta distribution.This scheme can not only effectively prevent malicious nodes to be selected as the cluster head,but also optimize the cluster head distribution.The algorithm has more excellent energy efficiency and practical application value for IOT(internet of things)scenarios of low power consumption with massive connections.