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A Simplified Realization for Data-Driven MIMO Detector With Product Quantization

IEEE WIRELESS COMMUNICATIONS LETTERS 2025年第5期14卷 1436-1440页

作者： Qian, Shuangyi Jiang, Ming Zhao, Chunming Ye, Hao Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Purple Mt Labs Pervas Commun Res Ctr Nanjing 211111 Peoples R China Univ Calif Santa Cruz Dept Elect & Comp Engn Santa Cruz CA 95064 USA

As research progresses, an increasing number of deep neural networks (DNNs) are applied to the multiple-input multiple-output (MIMO) detectors. This letter presents a simplified realization of the multi-layer perceptrons (MLPs) and convolutional neural networks (CNNs) in data-driven MIMO detectors, which are implemented in the ChannelNet detector. ChannelNet is a data-driven MIMO detector exclusively crafted from readily available DNN components, such as MLPs and CNNs. The implementation of the MLP and CNN can be converted to matrix multiplication and replaced by a series of simple operations involving comparisons, querying the lookup tables, and integer additions. By setting a target loss in advance, a sequentially iterative simplification of ChannelNet is achieved. Numerical results demonstrate that ChannelNet has superior performance, and the simplified ChannelNet reduces at least half of the computational complexity with less than 0.2 dB performance loss at the expense of acceptable storage space.

关键词： Detectors Quantization (signal) Iterative methods Convolution Vectors Training Table lookup Prototypes Program processors Computational complexity multiple-input multiple-output deep neural network data-driven detector product quantization

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A General Digital Predistortion Linearization Scheme for Hybrid Beamforming System

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2023年第1期72卷 654-663页

作者： Zhao, Linshan Wan, Shaojun Kang, Kai Feng, Weifeng Qian, Hua Chinese Acad Sci Shanghai Adv Res Inst Shanghai 201210 Peoples R China Univ Chinese Acad Sci Beijing 101408 Peoples R China

Hybrid beamforming multiple-input multiple-output (MIMO) system has attracted a lot of attention in recent years since it significantly reduces the hardware cost compared to the fully digital beamforming system. However, with hybrid beamforming, the one-to-one mapping between the radio frequency (RF) chain and the nonlinear power amplifier (PA) is destroyed. The PA nonlinearity cannot be compensated by conventional digital predistortion (DPD) algorithms. In this article, we propose a novel multiple-input DPD model for hybrid beamforming MIMO systems. An extra digital compensation block is introduced in the feedback path. With the feedback compensation block, the proposed DPD can linearize the PA output signal as well as the aggregated far-field signal. What is more, we propose a DPD estimation algorithm with much reduced complexity. Comparing to existing solutions, the proposed scheme achieves satisfactory performance for hybrid beamforming system. It does not rely on the measurement of the channel or the assumption of massive antennas. Simulation results demonstrate the effectiveness of the proposed DPD scheme.

关键词： Digital predistortion hybrid beamforming multiple-input multiple-output multiple-input nonlinear model power amplifier

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OFDM-based time-domain optical MIMO with general-numbered LED configurations

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OPTICAL AND QUANTUM ELECTRONICS 2023年第12期55卷 1-17页

作者： Al-Moliki, Yahya M. Alresheedi, Mohammed T. Abas, Ahmad Fauzi Mahdi, Mohd A. Khoon, Ng Eng King Saud Univ Dept Elect Engn Riyadh 11421 Saudi Arabia Univ Putra Malaysia Fac Engn Wireless & Photon Networks Res Ctr Serdang 43400 Selangor Malaysia Univ Cambridge Dept Engn Cambridge CB3 0FA England

For optical wireless communication systems with restricted bandwidth, combining multiple-input multiple-output (MIMO) transmission with orthogonal frequency division multiplexing (OFDM) modulation was found to be a highly effective method of boosting system capacity. This paper presents and analyzes two optical OFDM-based MIMO schemes for visible light communications, namely OFDM-based time domain general spatial modulation (TD-GSM) and OFDM-based time domain general spatial multiplexing (TD-GSMP), which utilize general-numbered MIMO configurations of light-emitting diodes (LEDs). These schemes exhibit reduced complexity and provide enhanced spectral efficiency (SE) in comparison to conventional frequency-domain (FD) GSM and GSMP schemes, achieved by transmitting twice the spatial information. Previous research in this area typically employed an even number of LEDs for spatial-based MIMO transmission, represented as 2(la), where l(a) is the number of spatial bits. However, to enhance SE, this paper introduces schemes that can accommodate a general number of LEDs without the constraint of an even-numbered LED configuration. In indoor environments, several LEDs are already used for illumination purposes, so incorporating additional LEDs for communication does not introduce complexity to the system. To detect both spatial and radiated information, a maximum-likelihood estimation algorithm is proposed. Simulation results demonstrate that, depending on the user's position, selecting the optimal MIMO configuration is crucial for achieving desired bit error rate (BER) performance and SE requirements. Moreover, as the total number of LEDs increases relative to the active number of LEDs, the modulation order required to transmit signals decreases in order to support a specified SE, resulting in improved BER performance. When all LEDs are active during communication, TD-GSMP outperforms TD-GSM in terms of BER performance. The results also show the superiority of TD schemes ov

关键词： Orthogonal frequency division multiplexing multiple-input multiple-output Visible light communications

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Secrecy Rate Maximization for STAR-RIS-Assisted MIMO Cognitive Radio Networks

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IEEE WIRELESS COMMUNICATIONS LETTERS 2025年第5期14卷 1281-1285页

作者： Huang, Zihao Lei, Xianfu Shen, Meng Wu, Mingjiang Li, Xingwang Karagiannidis, George K. Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 610031 Peoples R China Chengdu Technol Univ Sch Network & Commun Engn Chengdu 611730 Peoples R China Henan Polytech Univ Sch Phys & Elect Informat Engn Jiaozuo 454000 Peoples R China Aristotle Univ Thessaloniki Dept Elect & Comp Engn Thessaloniki 54124 Greece

In this letter, we study secure transmission in a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted multiple-input multiple-output cognitive radio network, where a secondary transmitter (ST) sends confidential information to a secondary user while sharing the same frequency band with a primary user in the presence of an eavesdropper. We aim to maximize the secrecy rate of the secondary system by jointly optimizing the transmit precoding matrices at the ST, along with the transmission and reflection coefficients of the STAR-RIS. An efficient alternating optimization algorithm based on the penalty method and the generalized S-procedure is proposed to solve the formulated non-convex problem. Simulation results show that the proposed scheme significantly outperforms the conventional RIS in improving the secrecy rate.

关键词： Cognitive radio multiple-input multiple-output multiple-input multiple-output secrecy rate secrecy rate reflecting reconfigurable intelligent surface reflecting reconfigurable intelligent surface

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Euler-Maruyama Method Based Channel Prediction: An LDE-Net Implementation and Field Evaluation

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第8期73卷 12143-12147页

作者： Wang, Tianci Wang, Xianling Shi, Yi Xin, Wenbo Jiang, Zhiyuan Gao, Ting Duan, Jinqiao Shanghai Univ Sch Commun & Informat Engn Shanghai 200444 Peoples R China Huazhong Univ Sci & Technol Ctr Math Sci Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Math & Stat Wuhan 430074 Peoples R China

Due to the advantages of beamforming technology in multi-antenna wireless communication systems, it has been widely studied and applied. However, its effectiveness in high-mobility scenarios may significantly deteriorate due to severe channel aging. In this paper, we propose an improved Levy induced stochastic differential equation network (LDE-Net) based on the Euler-Maruyama method for channel prediction. The proposed scheme captures the stochastic and rapid changes of wireless channels, by dividing the neural network into fine-grained stages while maintaining a moderate model size by parameter sharing among stages. In order to verify its performance in practice, we conduct channel measurements in Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) scenarios on our campus, respectively. In both scenarios, LDE-Net performs better than the conventional and widely-used autoregressive model, long short term memory, and recurrent reural network schemes. In the LoS scenario, its throughput is 19.615% on average higher than all other schemes at various speeds, and 10.64% for NLoS.

关键词： High mobility channel sounding machine learning channel prediction multiple-input multiple-output

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STBC-Enabled Secure Wireless Transmission With Cooperative Devices Under Imperfect CSI of Destination

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IEEE ACCESS 2023年 11卷 46804-46819页

作者： Shen, Tianji Hama, Yuto Ochiai, Hideki Yokohama Natl Univ Dept Elect & Comp Engn Yokohama 2408501 Japan

In this work, we investigate a practical secure multiple-input single-output (MISO) wireless transmission of information from a source to a destination assisted by cooperative devices. In the first phase, a space-time block code (STBC) is employed;thus, the source does not require any channel state information (CSI). In the second phase, the cooperative devices are divided into two groups, depending on whether they serve for relaying or jamming. Based on the imperfect CSI toward the destination, the devices allocated to the relay group assist the source in forwarding information, whereas those within the jamming group send artificial noise (AN) so as to prevent the eavesdropper from receiving information. Furthermore, the system utilizes two grouping strategies, referred to as random and adaptive. In the former case the role (relaying or jamming) of each device is predetermined randomly, whereas in the latter case it is determined autonomously depending on the decoding results. We analyze the outage probability of our proposed system with and without power allocation optimization under the assumption of imperfect CSI at the cooperative devices, and their accuracy is verified by Monte-Carlo simulations.

关键词： Jamming Wireless communication Relays MIMO communication Communication system security Interference Power system reliability Channel state information jamming multiple-input multiple-output physical-layer security selective relaying space-time block code

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Efficient training and data transmission for cooperative MIMO communications: Space-time coding approach

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ICT EXPRESS 2024年第5期10卷 1043-1050页

作者： Lim, Seung-Chan Kwon, Girim Joung, Jingon Sch ICT Robot & Mech Engn Anseong 17579 South Korea IITC Anseong 17579 South Korea MIT Wireless Informat & Network Sci Lab Cambridge MA 02139 USA Chung Ang Univ Dept Elect & Elect Engn Seoul 06974 South Korea

The communication performance can be restricted by inevitable training overhead for acquiring channel state information (CSI). A space- time code (STC)-based cooperative communication scheme is proposed to reduce the training overhead by employing a two-antenna relay node (RN) that broadcasts merely two orthogonal pilot sequences from the two antennas to a source node (SN) and a destination node (DN). The received signal-to-noise ratio, the achievable rate, and the bit error rate are mathematically analyzed, and numerical results confirm that the proposed STC-based relay system increases the achievable rate irrespective of the number of antennas at SN and DN. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Channel estimation overhead multiple-input multiple-output Cooperative communications Space-time code Spatial diversity gain

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A Hybrid Differential Detection Scheme for the Ultra-Wideband Orientational Beamforming System

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2023年第11期22卷 7130-7143页

作者： Han, Jiangyan Ng, Boon Poh Er, Meng Hwa Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

Differential space-time coding methods have been investigated for ultra-wideband communication systems to avoid channel estimation. However, their performance in the line-of-sight (LOS) environment is worse than the recently proposed orientational beamforming (OBF) system under low signal-to-noise ratios (SNRs). On the other hand, the OBF system cannot work well in the non-LOS (NLOS) environment. To address these issues, a hybrid differential detection (HDD) scheme is proposed in this paper, which combines the OBF system with a proposed differential OBF (DOBF) system. First, the DOBF system with a fully differential detection scheme is proposed, whose performance is almost the same as the differential space-time block coding method. However, its detection complexity only linearly increases with the number of transmitting antennas. Then, the HDD scheme is proposed, with its decision statistic being a combination of a modified OBF decision statistic and the DOBF decision statistic. In the NLOS environment, the HDD scheme is reduced to the DOBF system. In the LOS environment, a combination coefficient is obtained by mapping an SNR-related factor through a sigmoid function. The optimal parameters for the sigmoid function are determined through simulations, with which the proposed HDD scheme can achieve overall better performance than the OBF and DOBF systems.

关键词： Antenna arrays Complexity theory Transmitting antennas Receiving antennas MIMO communication Symbols Ultra wideband technology Orientational beamforming differential detection multiple-input multiple-output ultra-wideband

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A Low-Complexity Digital Predistorter for Large-Scale MIMO Systems With Crosstalk

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2023年第10期72卷 13203-13213页

作者： Zhao, Linshan Qian, Hua Feng, Weifeng Li, Mingqi Kang, Kai Chinese Acad Sci Shanghai Adv Res Inst Shanghai 201210 Peoples R China Univ Chinese Acad Sci Beijing 101408 Peoples R China Wuxi Grand Microelect Wuxi 214000 Jiangsu Peoples R China

Massive multiple-input multiple-output (MIMO) technology is a key enabler for future wireless communication systems. On the other hand, crosstalk is inevitable in the highly integrated large-scale antenna array. The nonlinearity of power amplifiers (PAs) coupled with crosstalk is much more complicated when the number of antennas is large. Digital predistortion (DPD) can compensate for the PA nonlinearity without sacrificing efficiency and is widely applied in both base stations and mobile devices. Extending existing solutions to the large-scale MIMO system usually suffers from performance degradation or greatly increased complexity. In this paper, we consider the nonlinearity with crosstalk for the large-scale MIMO scenario. A much simplified DPD model is proposed by ignoring the high-order crosstalk terms generated from the complete nonlinear model. Compared to existing solutions, the proposed DPD can compensate for both the nonlinear and linear crosstalk of the system. It achieves satisfactory linearization performance with much reduced computational complexity. The complexity of the proposed DPD is linearly related to the number of transmitter branches. Thus, it is scalable in the large-scale MIMO scenario. Moreover, the proposed DPD can be extended to the partially-connected hybrid beamforming system with crosstalk. Simulation results validate the effectiveness of the proposed DPD scheme.

关键词： multiple-input multiple-output power amplifier crosstalk digital predistortion nonlinearity

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On successive machine learning process for predicting strength and displacement of rectangular reinforced concrete columns subjected to cyclic loading

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COMPUTERS AND CONCRETE 2023年第5期32卷 513-525页

作者： Ju, Bu-seog Kwag, Shinyoung Lee, Sangwoo Kyung Hee Univ Dept Civil Engn Yongin Gyeonggi Do South Korea Hanbat Natl Univ Dept Civil & Environm Engn Daejeon South Korea

Recently, research on predicting the behavior of reinforced concrete (RC) columns using machine learning methods has been actively conducted. However, most studies have focused on predicting the ultimate strength of RC columns using a regression algorithm. Therefore, this study develops a successive machine learning process for predicting multiple nonlinear behaviors of rectangular RC columns. This process consists of three stages: single machine learning, bagging ensemble, and stacking ensemble. In the case of strength prediction, sufficient prediction accuracy is confirmed even in the first stage. In the case of displacement, although sufficient accuracy is not achieved in the first and second stages, the stacking ensemble model in the third stage performs better than the machine learning models in the first and second stages. In addition, the performance of the final prediction models is verified by comparing the backbone curves and hysteresis loops obtained from predicted outputs with actual experimental data.

关键词： bagging ensemble machine learning multiple-input multiple-output reinforced concrete column stacking

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