Research On Iinterference Suppression And Spatital Multiplexing Of Millimeter Wave Communication Network

With the emergence of new intensive applications,better service quality and user experience become more and more important.Millimeter wave(mm Wave)communication can meet the wireless needs of bandwidth-intensive multimedia applications and it has become one of the most promising technologies in the fifth-generation cellular network.However,millimeter waves have high path loss.In order to compensate for the propagation loss of the communication link,directional antennas and Beamforming(BF)technology are usually used.The directional beam formed by BF technology provides the possibility for spatial reuse(SR)between devices.In addition,the characteristics of high loss make millimeter waves can only be transmitted within the short-distance with line of sight in most cases.In the densely deployed environment,the multiple BSSs formed by multiple APs are very close.If the links in these BSSs cannot be properly scheduled,they may cause the communication links in adjacent BSSs to interfere with each other,affecting the communication quality of the link and the overall network performance.Therefore,this thesis studies the SR technology under the BPAC(BSS PCP/AP cluster,basic service set control point/access point cluster scenario)millimeter wave network architecture.This thesis first introduces the BPAC millimeter wave network architecture and gives the channel measurement mechanism based on BF training under the network.The channel measurement is combined with the BF training mechanism in traditional IEEE 802.11ad/ay,and the C-AP in the network coordinates the STAs under each M-AP to perform directional channel interference measurement while performing BF training,which can not only reduce the burden of the C-AP,but also ensure the stability of training.Finally,C-AP can perform reasonable scheduling on network resources by collecting link training results and channel information.Subsequently,this thesis studies the SR scheme of dense BPAC networks.By establishing the physical interference model of the dense BPAC network,aiming at the shortcomings of classic scheduling schemes such as MSDN,an SR scheduling algorithm based on the maximum throughput of the BPAC network is proposed,and the SR mechanism suggestions used in the dense BPAC network is given.C-AP uses the interference information obtained by the above channel measurement method to schedule links for SR.The simulation results show that the proposed scheduling algorithm has better performance than the MSDN and Blind algorithms.Finally,this thesis proposes an SR scheme based on centralized control and optimal scheduling in dense BPAC networks,which allows simultaneous transmission of interfered and non-interfered links.Specifically,non-interfered links transmit at the maximum transmission power,and interfered links achieve the best transmission power under the adjustment of C-AP.To a certain extent,our scheduling scheme is able to improve the resource utilization and network throughput.The simulation results show that the proposed algorithm has better performance than the MSDN and Blind algorithms.