Research On Spectrum Resource Allocation And Optimization Method For Internet Of Vehicles And Industrial Intelligent Manufacturing

Unlike previous generations of cellular communications,which focused on Human-to-Human(H2H)communication,the fifith generation(5G)plays a central role in Machine-Type communication(MTC)and Internet of Things(IoT),research on 5G enabled vertical industries has become a hot topic.However,demand differentiated communication requirements of different vertical industries’ services brings new challenges to the issue of 5G spectrum resource allocation.Therefore,this thesis focuses on spectrum resource allocation and optimization methods in two typical scenarios of internet of vehicles and industrial intelligent manufacturing,so as to meet the differentiated communication requirements of different vertical industries’ services and improve the utilization rate of spectrum resources.The main contribution of this paper is divided into two parts:(1)Due to the problems of large power consumption and serious interference between different beams in the millimeter wave(mmWave)enabled internet of vehicles,a novel swap matching based vehicle association algorithm is proposed,which can achieve the stable matching states between vehicles and base stations(BSs)with a polynomial computation complexity.Furthermore,a convex optimization theory based power allocation algorithm is proposed,the non-convex power allocation problem is transformed into a convex problem using the first order Taylor expansion,and the optimal power allocation results are achieved.Simulation verification shows that compared with the benchmark algorithms,the proposed algorithm can improve the energy efficiency of the network by 51.1%and reduce the everage interference of communication links by 86.6%.(2)In view of the joint requirements of closed-loop control services on closed-loop latency and communication reliability in industrial intelligent manufacturing scenarios,this paper proposes a subband fullduplex(SBFD)enabled industrial intelligent manufacturing network to reduce the scheduling latency at the moment of uplink(UL)and downlink(DL)switching.Furthermore,a novel SBFD based UL/DL subband resource allocation scheme is proposed to maximize the guard band interval between UL subband and DL subband,so as to reduce the cross link interference(CLI)caused by the coexistence of UL and DL resources and improve the communication reliability of closed-loop control service.Simulation verification shows that compared with the benchmark scheme,the proposed scheme can reduce the CLI of the network by 7.9 in dBm.