Research On Wireless Network Joint Communication And Computing Resource Allocation Strategy Based On Interference Management

The rise of emerging mobile services with intensive computing and strict latency requirements brings two major challenges to the Sixth Generation Mobile Networks(6G),one is massive data,and the other is strict latency requirement.To meet these challenges,efficient joint communication and computing resource allocation schemes need to be developed.Due to limited resources,it is necessary to reuse communication resources for transmission,but it will cause a lot of interference in the network and affect the network performance.Interference alignment as an interference management technology,compresses the space occupied by interference by designing the precoding matrix at the transmitter and the decoding matrix at the receiver.As another interference management technology,interference neutralization can eliminate the same interference at the receiver without occupying the space of the receiver by designing the precoding matrix at the transmitter.Therefore,in order to efficiently allocate communication and computing resources,this paper studies a communication and computing resource allocation scheme based on joint interference neutralization and interference alignment,which improves system performance by eliminating interference,and then allocates communication and computing resources efficiently.Firstly,for the Multiple Input Multiple Output(MIMO)wireless full-duplex network,this thesis proposes an interference management scheme of joint interference neutralization and interference alignment to eliminate the interference in the full-duplex network and improve the degree of freedom of the system,thereby improving the utilization of communication resources.In this thesis,it is proposed to let base stations transmit data cooperatively,so as to achieve interference neutralization at the user.The specific implementation should be divided into two categories according to the odd and even numbers of base stations and users.According to the design selection principle,base stations are selected to transmit data cooperatively to the corresponding users.At the same time,the interference alignment is used to align different interference at the receiver into the same space to eliminate interference.The simulation results show that the combined interference neutralization and interference alignment in this scheme can obtain higher degrees of freedom than only using the interference alignment,so the scheme proposed in this thesis has a higher utilization rate of communication resources.Secondly,for the MIMO mobile edge computing network with multi-user and multi-edge nodes,this thesis proposes a communication and computing resource allocation scheme based on joint interference neutralization and interference alignment,which reduces the communication delay and improves the utilization of communication and computing resources.In this paper,the computing load is obtained according to the assignment of tasks,and then the user equipments upload the tasks to multiple edge nodes for computing.After the computing is completed,the multiple edge nodes cooperate to download the results to the user equipment.Therefore,it is possible to use interference management to eliminate interference during transmission.The schemes designed in this thesis include the task upload phase scheme of the joint computational load and interference alignment,and the result download phase scheme of the joint computational load,interference neutralization and interference alignment.And it is proved that compared with the existing asymptotic interference alignment scheme,this scheme can obtain lower communication latency in the limited time slots,and it is verified by simulation.Finally,the simulation results show that this scheme can effectively reduce the communication latency,and explore the influence of the number of antennas configured by the edge node,the number of antennas configured by the user equipment,and the computing load on the communication latency in this scheme.