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作 者:Jyoti P.Patra Bibhuti Bhusan Pradhan Ranjan Kumar Mahapatra Sankata Bhanjan Prusty
机构地区:[1]Department of Electronics and Communication Engineering,C.V.Raman Global University,Bhubaneswar Odisha-752054,India [2]Department of Electronics and Communication Engineering,Malla Reddy Engineering College,Hyderabad Telegana-500100,India [3]Department of Electronics and Communication Engineering,Koneru Lakshmaiah Education Foundation,Green Fields,Vaddeswaram,A.P.-522302,India [4]School of Electronics and Communication Engineering,REVA University,Bengaluru,Karnataka-560064,India
出 处:《Journal of Communications and Information Networks》2025年第1期81-86,共6页通信与信息网络学报(英文)
摘 要:Signal detection in massive multiple-input multiple-output(m-MIMO)is a challenging task due to high computational complexity.Although,the minimum mean square error(MMSE)method is a popular signal detection,however it involves matrix inversion with complexity of cubic order.Therefore,several linear signal detection methods were developed such as Gauss-Seidel,successive over relaxation,Jacobi method,and Richardson methods to provide a trade-off between performance and complexity.These methods are developed for flat fading scenario,however in practice,the channel is frequency selective rather flat fading.In this paper,we have proposed an efficient signal detection technique based on iterative parallel multistage detection with decision statistics combiner(IPMD-DSC)for uplink m-MIMO-orthogonal frequency division multiplexing(mMIMO-OFDM)system over frequency selective channel.Finally,the proposed method is compared with several convention methods with respect to bit error rate(BER)and complexity.Simulation results demonstrate that the proposed method outperforms the MMSE method with lower complexity.
关 键 词:massive MIMO OFDM signal detection IPMD-DSC frequency selective channel
分 类 号:TN929.5[电子电信—通信与信息系统]
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