Research On Resource Allocation And Energy Efficiency Optimization In Millimeter Wave Massive MIMO Networks

With the development of the Internet and communications industry has matured,due to the current shortage of available communication spectrum,and the high frequency band of millimeter wave can not reach a reasonable utilization rate,in order to solve the problem of insufficient spectrum,increase the utilization rate of resources in this frequency band,while It also needs to meet the high-speed transmission requirements for future massive data and improve the transmission efficiency of the network.In addition,the intensive deployment of wireless networks has caused huge energy consumption,as well as the contradiction between spectrum improvement and energy efficiency reduction caused by the intensive network deployment.Based on various considerations,energy-saving design of wireless networks has become an inevitable trend.Considering the problems faced above,according to the situation of different communication systems,so as to carry out system energy efficiency analysis,the main content of this article has the following points.First,for the power allocation of multi-band massive MIMO heterogeneous networks in the millimeter wave band and the traditional cellular band,an efficient resource allocation algorithm that optimizes the system’s energy efficiency is proposed.Considering the use of millimeter wave frequency and macro base station(MBS)Traditional low-cell frequency bands and ultra-dense deployments of small cell base stations(SBS)with orthogonal frequency division multiple access(OFDMA).In this paper,in addition to adjusting the power distribution on all sub-channels,the total transmit power can also be adjusted according to the state of all sub-channels to maximize energy efficiency.Linearizing the problem into a convex optimization framework is mainly aimed at the spectrum and energy efficiency issues,and achieves the goal of optimizing the energy efficiency of the system.Secondly,considering energy efficiency maximization,power allocation,wireless backhaul bandwidth allocation,and user service quality requirements,a resource allocation scheme with optimal energy efficiency is proposed,which is different from the existing resource allocation schemes.Information and circuit power consumption The MBS transmit power is allocated to SBS and MU and the millimeter wave band bandwidth is divided into bandwidth for access and backhaul,and then SBS allocates its transmit power to users and backhaul bandwidth to maximize energy effectiveness.Since the formulation problem is non-convex,it is transformed into a convex problem by appropriate approximation.This problem is first expressed as a non-convex non-linear fractional programming,then it is decomposed into two convex problems,and Dinkelback method is used to convert it into a DCP problem.First-order Taylor linearizes the problem into a convex optimization framework,and finally finds the optimal solution through the KKT condition.The optimization problem is solved by these two sub-problems.Finally,an extensive simulation study on the millimeter-wave heterogeneous network resource allocation proposed in this paper to prove the effectiveness of the proposed scheme,and to compare,verify and analyze the experimental data to verify our The effectiveness of the plan.