Resource Allocation In 5G And Wifi Coexistence Network Of Millimeter Wave Unlicensed Band

The wireless transmission demand for 5G and future communication networks is expected to show explosive growth.However,communication resources are extremely limited,and how to meet the transmission speed requirements of more services in a limited resource situation,as well as solving network congestion to improve the overall data transmission rate,has always been the research core and focus of the academic field.Currently,massive MIMO technology,non-orthogonal multiple access technology(NOMA),and the use of high-frequency bands such as millimeter waves and terahertz bands,are being widely studied as key technologies for 5G.In addition,the coexistence of WiFi and cellular networks in unlicensed frequency bands also has great potential in improving spectrum utilization.This thesis focuses on communication hotspots,which uses the 60GHz unlicensed frequency band to carry out the bidirectional data unloading of WiFi and 5G,and adds the aggregation node(AN)to alleviate the congestion and collision in the WiFi network.On this basis,the research on the uplink resource management technology based on the millimeter wave broadband hybrid beamforming system is carried out.First of all,this thesis proposes a heuristic,dual-network multidimensional resource allocation algorithm(MDRA)based on traffic aggregation,which considers user association,spectrum allocation,and power allocation.Specifically,the received signal strength indicator(RSSI)is firstly used as the user association standard for multi-to-one association between users and cellular base stations and aggregation nodes(ANs).Secondly,a multi-stage KM(Kuhn-Munkres)matching algorithm is used to achieve multi-to-one matching between users and spectrum.Finally,the successive convex approximation(SCA)algorithm is used to allocate power to users.Simulation results show that compared with other baseline algorithms,the multidimensional resource joint allocation algorithm proposed in this thesis has certain performance improvements of nearly 3.6%～22%for the uplink system throughput of 5G/WiFi coexisting networks.Further,considering the insufficient optimization of MDRA algorithm for user association and beam management,this thesis constructs a throughput maximization problem for jointly optimizing user association,beamforming and spectrum allocation based on a broadband hybrid beamforming architecture,and proposes a multi-dimensional resource allocation iterative algorithm based on traffic aggregation and beam management.In particular,the original problem is divided into three subproblems:user association,beamforming and spectrum allocation,and the final solution is obtained by alternating iterative optimization of the three sub-problems.For the association between users and service nodes,the exchange matching algorithm aiming at maximizing throughput is used to optimize;For beamforming design,firstly,the analog beamforming matrix is optimized based on SLNR-SINR dual-criteria iterative algorithm,and then the digital beamforming matrix is optimized based on the generalized Rayleigh quotient maximization criterion;For spectrum allocation,it is optimized based on multi-stage KM matching algorithm.The simulation results show that the algorithm can achieve convergence after a small number of iterations,and has a performance improvement of nearly 6.88%～19.76%compared with other baseline algorithms.