Integration Of Perception And Communication Aided By Intelligent Reflective Surfaces

With the rapid iteration of information and communication technology,the next generation of communication technology will enable the interconnection of all things,realize perceivable,identifiable,calculable,controllable,and manageable,and meet the application needs of various industries.The communication network of the future will be a network of collaborative integration of perception,communication,and computing.This article focuses on the research on the fusion of perception and communication,and combines some existing technologies to explore some problems in the combination of microwave imaging and millimeter wave communication.The main contents are as follows:First,this paper proposes a new centralized intelligent reflective surface-assisted millimeter wave computational imaging scheme based on pixel block division and block sparse signal recovery.First,the target space is divided into pixel blocks similar to point clouds,and the problem of target reconstruction is discretized into the judgment problem of pixel blocks.And use the characteristic that each microsurface of the intelligent reflecting surface can reflect the signal independently,and increase the observation channel of the signal to assist imaging.Propose and analyze the influence of the two working modes of centralized intelligent reflecting surface and distributed intelligent reflecting surface on imaging.Using the special block sparsity of the target space information vector,a fast block sparse Bayesian learning algorithm is proposed,combined with a generalized approximate message passing algorithm,which can achieve much lower computational complexity than traditional block sparse Bayesian learning algorithms.Down,get similar performance.Finally,the performance of the proposed imaging scheme and the proposed algorithm is analyzed through simulation.Then,this paper proposes a three-dimensional deterministic channel reconstruction scheme based on environmental perception,which uses microwave imaging in millimeter wave communications.Because the millimeter wave attenuates quickly in the atmosphere,it usually uses multiple input multiple output technology to transmit narrow beams for communication.This leads to a very important problem that once the beam direction is not aligned with the user,it will cause a serious degradation of communication quality.For beam alignment,frequent channel estimation is required,which brings a huge burden.This paper proposes a deterministic channel reconstruction scheme based on millimeter wave computational imaging assisted by intelligent reflector.Based on the detected environmental information,the best transmission path is found,and a single beamforming algorithm based on channel reconstruction is designed.In order to accomplish this task,this paper proposes a physical reflection model on the millimeter wave band.By dividing the reflected signal into mirror reflection and diffuse reflection,the relationship between the reflected signal and the incident signal is constructed for channel reconstruction.Finally,the performance of the proposed channel reconstruction scheme and single-beam transmission scheme are analyzed through simulation experiments.Finally,this paper proposes a joint multi-user communication and environment awareness scheme,which combines communication and awareness.On the basis of the sparse code division multiple access system assisted by the intelligent reflector,in the uplink communication,the task of sensing the reflector information in the environment is completed while the multi-user information is reliably accessed.The message passing algorithm decoder is used to obtain the codewords transmitted by all users in the uplink,and the method of computational imaging is used for environmental perception.The mutual iteration between the multi-user information obtained by decoding and the environmental information obtained by environmental perception finally achieves the goal of completing two tasks at the same time.Finally,simulations verify the performance of the proposed SCMA-IRSbased joint communication and environment awareness scheme.