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作 者:Nidhi Gour Rajneesh Pareek Karthikeyan Rajagopal Himanshu Sharma Mrim M.Alnfiai Mohammed A.AlZain Mehedi Masud Arun Kumar
机构地区:[1]Department of Computer Science&Engineering,JECRC University,Jaipur,India [2]Centre for Nonlinear Systems,Chennai Institute of Technology,Chennai,India [3]Department of Electronics and Communication Engineering and University Centre for Research&Development,Chandigarh University,Mohali,India [4]Department of Information Technology,College of Computer and Information Technology,Taif University,P.O.Box 11099,Taif,21994,Saudi Arabia [5]Department of Computer Science,College of Computers and Information Technology,Taif University,P.O.Box 11099,Taif,Saudi Arabia [6]Department of Electronics and Communication Engineering,JECRC University,Jaipur,India
出 处:《Computer Systems Science & Engineering》2023年第6期2827-2835,共9页计算机系统科学与工程(英文)
基 金:supported by Taif University Researchers Supporting Project Number(TURSP-2020/98)Taif University,Taif,Saudi Arabia.
摘 要:Massive-Multiple Inputs and Multiple Outputs(M-MIMO)is considered as one of the standard techniques in improving the performance of Fifth Generation(5G)radio.5G signal detection with low propagation delay and high throughput with minimum computational intricacy are some of the serious concerns in the deployment of 5G.The evaluation of 5G promises a high quality of service(QoS),a high data rate,low latency,and spectral efficiency,ensuring several applications that will improve the services in every sector.The existing detection techniques cannot be utilised in 5G and beyond 5G due to the high complexity issues in their implementation.In the proposed article,the Approximation Message Passing(AMP)is implemented and compared with the existing Minimum Mean Square Error(MMSE)and Message Passing Detector(MPD)algorithms.The outcomes of the work show that the performance of Bit Error Rate(BER)is improved with minimal complexity.
分 类 号:TN929.5[电子电信—通信与信息系统]
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