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On the construction of high-rate quasi-orthogonal STBC for MIMO QR demodulation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2005年第7期E88D卷 1417-1429页

作者： Le, MT Pham, VS Mai, L Yoon, G Informat & Commun Univ Sch Engn Taejon 305714 South Korea

Orthogonal space-time block codes (STBCs) [1], [2] appear to be a very fascinating means of enhancing reception quality in quasistatic MIMO channels due to their full diversity, and especially their simple maximum-likelihood (ML) decoders. However, full-rate full-diversity orthogonal STBCs do not exist for more than two transmit antennas. Vertical layered space-time architecture (so-called the V-BLAST) [3] with a nulling- and cancelling-based detection algorithm, in contrast, has an ability of achieving high transmission rates at the cost of having very low diversity gain, an undesirable consequence caused by the interference nulling and cancelling processes. The uncoded V-BLAST system is able to reach its ML performance with the aid of the sphere decoder algorithm [4] at the expense of higher detection complexity. Undoubtedly, the tradeoff between transmission rates, diversity, and complexity is inherent in designing space-time codes. This paper investigates a method to increase the "nulling diversity gains" for a general high-rate space-time code and introduces a new design strategy for high-rate space-time codes detected based on interference nulling and cancelling processes, thanks to which high-rate quasi-orthogonal space-time codes for MIMO applications are proposed. We show that when n(T) transmit and n(R) = n(T) receive antennas are deployed, the first code offers a transmission rate of (n(T) - 1) with a minimum nulling diversity order of 3, whereas the second one offers a transmission rate of (n(T) - 2) with a minimum nulling diversity order of 5. Therefore, the proposed codes significantly outperform the V-BLAST as n(R) = n(T). Simulation results and discussions on the performance of the proposed codes are provided.

关键词： space-time coding multiple-input multiple-output maximum likelihood detection diversity wireless communication multipath channels

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Analysis of MRT/MRC diversity techniques to enhance the detection performance for MIMO signals in full-duplex wireless relay networks with transceiver hardware impairment

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PHYSICAL COMMUNICATION 2020年 42卷 101132-101132页

作者： Ba Cao Nguyen Nguyen-Kieu, Tam Tran Manh Hoang Tran, Phuong T. Voznak, Miroslav Telecommun Univ Nhatrang Vietnam VSB Tech Univ Ostrava 17 Listopadu 15-2172 Ostrava 70833 Czech Republic Ton Duc Thang Univ Fac Elect & Elect Engn Wireless Commun Res Grp Ho Chi Minh City Vietnam

In this paper, we investigate the detection performance for MIMO signals in a wireless full-duplex (FD) relaying network, in which the diversity techniques, including maximal ratio transmission (MRT) at source and maximal ratio combining (MRC) at destination, are applied. Especially, we rigorously study the impact of hardware impairment (HI) at all nodes and the residual self-interference (RSI) at the FD relay (FDR), which have not mentioned in previous works. Here, the closed-form expressions of key performance factors such as outage probability (OP), throughput, and symbol error rate (SER) of the considered MIMO-FDR system with HI are derived mathematically. All analytical expressions are validated by Monte Carlo simulations. Numerical results demonstrate a strong impact of HI on OP, throughput, and SER of the MIMO-FDR system in comparison with the ideal (ID) MIMO-FDR system, especially at high data rate. The combination of HI and RSI prevents OP and SER of the MIMO-FDR system from going lower than some error floors even at high signal-to-noise ratio (SNR) regime. However, by using MRT/MRC techniques with larger number of transmit antennas at source than the number of receive antennas at destination, the OP and SER performance in HI condition can be significantly improved. (C) 2020 Elsevier B.V. All rights reserved.

关键词： multiple-input multiple-output Full-duplex Hardware impairment MRT/MRC Self-interference cancellation Outage probability Symbol error rate

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Demonstration of 144-Gbps Photonics-Assisted THz Wireless Transmission at 500 GHz Enabled by Joint DBN Equalizer

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MICROMACHINES 2022年第10期13卷 1617-1617页

作者： Liu, Xiang Zhang, Jiao Gao, Shuang Tong, Weidong Wang, Yunwu Lei, Mingzheng Hua, Bingchang Cai, Yuancheng Zou, Yucong Zhu, Min Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211111 Peoples R China

The THz wireless transmission system based on photonics has been a promising candidate for further 6G communication, which can provide hundreds of Gbps or even Tbps data capacity. In this paper, 144-Gbps dual polarization quadrature-phase-shift-keying (DP-QPSK) signal generation and transmission over a 20-km SSMF and 3-m wireless 2 x 2 multiple-input multiple-output (MIMO) link at 500 GHz have been demonstrated. To further compensate for the linear and nonlinear distortions during the fiber-wireless transmission, a novel joint Deep Belief Network (J-DBN) equalizer is proposed. Our proposed J-DBN-based schemes are mainly optimized based upon the constant modulus algorithm (CMA) and direct-detection least mean square (DD-LMS) equalization. The results indicate that the J-DBN equalizer has better bit error rate (BER) performance in receiver sensitivity. In addition, the computational complexity of the J-DBN-based equalizer can be approximately 46% lower than that of conventional equalizers with similar performance. To our knowledge, this is the first time that a novel joint DBN equalizer has been proposed based on classical algorithms. It is a promising scheme to meet the demands of future fiber-wireless integration communication for low power consumption, low cost, and high capacity.

关键词： Terahertz-band multiple-input multiple-output polarization multiplexing seamless integration Deep Belief Network

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Close-formed bound on generalized distributed antenna system capacity

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Journal of Southeast University(English Edition) 2007年第4期23卷 479-483页

作者：孙欢王新宇尤肖虎东南大学移动通信国家重点实验室南京210096

The composite channel models of the generalized distributed antenna system （GDAS） such as Rayleigh-lognormal fading are studied. Then comparisons are performed between the GDAS and the traditional multiple-input multiple-output （MIMO） system to analyze the ergodic capacity of the GDAS and make conclusions that it is impossible to achieve an analytical expression for the ergodic capacity of the GDAS. Moreover, in order to evaluate the performance of the ergodic capacity of the GDAS conveniently, the analytical lower bound and upper bound of the ergodic capacity of the GDAS are derived by using the results from multivariate statistics and matrix inequalities, under the scenarios of Rayleigh-lognormal fading and equal power allocation scheme at transmitter. Finally, the analytical bounds are verified by comparisons with the numerical results.

关键词： generalized distributed antenna system ergodic capacity multiple-input multiple-output Rayleighlognormal fading

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Design of Reconfigurable SDR Platform for Antenna Selection Aided MIMO Communication System

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IEEE ACCESS 2019年 7卷 169267-169280页

作者： Zhang, Peichang Xu, Jiajun Zhong, Shida Feng, Haogang Huang, Lei Yuan, Tao Zhang, Jiankang Shenzhen Univ Coll Elect & Informat Engn Shenzhen 518060 Peoples R China Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

In recent years, antenna selection (AS) has become one of the most popular research topics for massive multiple-input multiple-output (MIMO) system due to its capability of reducing the number of radio frequency chains utilized for MIMO communications, while remaining the MIMO advantages, such as increased bandwidth efficiency and reliability. In this paper, an efficient norm-based AS (NBAS) algorithm is investigated and implemented in the software defined radio (SDR) MIMO communication platform, which consists of field-programmable gate arrays (FPGAs). Owing to the high freedom and fast reconfigurable FPGA hardware, the SDR MIMO communication platform is capable of developing prototype of NBAS-aided MIMO system. More specifically, the implemented NBAS aided SDR MIMO system is capable of achieving uplink communication from users to the base station via time division duplex (TDD). A time-varying fading channel generation model is designed for SDR MIMO platform to enrich our experimental results. Additionally, a novel multiplexer (MUX) circuit module is designed and implemented to enhance the hardware performance of the FPGA in term of delay and resource usage. The results show that by implementing the low-complexity NBAS, the channel capacity performance of the SDR MIMO system can be significantly improved by around 15%. It is also showed that our proposed optimized MUX circuit intellectual property may reduce the critical path delay by about 2.16 ns, and save at lease 3% hardware resources in SDR FPGA.

关键词： multiple-input multiple-output antenna selection software defined radio FPGA

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Evolutionary generative adversarial network based end-to-end learning for MIMO molecular communication with drift system

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NANO COMMUNICATION NETWORKS 2023年 37卷

作者： Zhu, Jiarui Bai, Chenyao Zhu, Yunlong Lu, Xiwen Wang, Kezhi Fudan Univ Acad Engn & Technol Shanghai 200433 Peoples R China Brunel Univ London Dept Comp Sci Kingston Lane Uxbridge UB8 3PH England

Molecular communication (MC) is a novel paradigm for nano-communication networks. Compared with diffusion-based single-input single-out (SISO) systems, multiple-input multiple-output (MIMO) MC with drift systems can effectively mitigate the negative effects of inter symbol interference (ISI), inter link interference (ILI) and noise, further improving transmission efficiency. The modeling complexity of MIMO MC systems inspires the application of deep learning (DL) techniques to establish end-to-end architectures for signal recovery. However, training of the entire end-to-end system is limited by the unknown channel and small training sample size. In this paper, aiming at signal recovery of the newly developed mathematical MIMO MC with drift system model, a Kullback-Leibler divergence (KLD) evolutionary generative adversarial network (EGAN)-based end-to-end learning method is proposed. The end-to-end architecture can be trained offline with both the sampled and fake signals generated by KLD EGAN, even with a small training sample size, and then used to recover online transmitted signals directly. Besides, two traditional detection algorithms denoted as the maximum a posterior (MAP) detector and fixed threshold (FT) detector, are proposed as well for theoretical comparison. Experiments of the effect of different model parameters on the system performance have been carried out. Results validate the effectiveness and robustness of our proposed method compared to other DL-based methods, including the deep neural networks (DNN)-based, the original GAN-based, and the original EGAN-based, in terms of transmission accuracy. (c) 2023 Elsevier B.V. All rights reserved.

关键词： End-to-end learning Evolutionary computation Generative adversarial network Molecular communication multiple-input multiple-output

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Secure MIMO communication in energy harvesting-assisted NOMA Cognitive Radio Network with jamming under hardware impairment

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PHYSICAL COMMUNICATION 2024年 66卷

作者： Le-Thanh, Toi Ho-Van, Khuong HCMC Univ Ind & Trade Ho Chi Minh City Vietnam Ho Chi Minh City Univ Technol HCMUT Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Ho Chi Minh City Vietnam

Energy harvesting (EH)-assisted non-orthogonal multiple access (NOMA) cognitive radio (CR) networks allow simultaneous transmission of multiple secondary user signals on primary frequency bands with harvested energy, enhancing spectral, spectrum utilization, and energy efficiencies. Although multiple antennas are used for efficient energy transfer and signal transceiving, multiple-input multiple-output (MIMO) communication in these networks is facing reliability/security performance degradation due to nonlinear EH, hardware impairment (HWi), and wire-tapping. The paper aims to numerically evaluate the security and reliability of MIMO communication in EH-assisted NOMA CR networks with jamming (MehNOwJ) under such effects. The results indicate that MehNOwJ prevents full outage and achieves optimum performance with proper parameter selection of preset spectral efficiency, power saturation threshold, EH duration, number of antennas of jammer. In addition, the performance improves with an accreting quantity of antennas but experiences saturation. Moreover, MehNOwJ drastically outperforms alternative approaches (MIMO communication in EH-assisted orthogonal multiple access CR network with jamming and MIMO communication in EH-assisted NOMA CR network without jamming), offering insights into the benefits of combining NOMA and jamming techniques.

关键词： Hardware impairment Non-orthogonal multiple access Reliability Security multiple-input multiple-output Jamming Nonlinear energy harvesting

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Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions

IEEE PHOTONICS JOURNAL

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IEEE PHOTONICS JOURNAL 2022年第1期14卷 1页

作者： Krohn, Adrian Pachnicke, Stephan Hoeher, Peter Univ Kiel Commun D-24143 Kiel Germany Univ Kiel Informat & Coding D-24143 Kiel Germany

Optical channel decorrelation is a key aspect in designing a multi-user visible light communication system. As light-emitting diodes (LEDs) are commonly used for illumination and data transmission in such a system simultaneously, the interference between them is a major problem for suitable modulation schemes. We have proposed to position liquid-crystal (LC) matrix elements in front of the receivers in order to block unwanted light - so effectively acting as filter and reducing the interference. To do so, the appropriate pixels of the LC filter are switched either to a transmissive state or to an opaque state. The selection of the correct pixel patterns is a high-order optimization problem, which makes it challenging for classic algorithms. In this paper, we suggest applying a genetic optimization to find suitable pixel patterns. We combine this kind of receiver-side optimization with conventional convex precoding at the transmitter side in an iterative manner. The overall optimization goal is to maximize the sum rate over all users. To prove the effectiveness, we use a numeric ray-tracing simulation with different settings. Also we analyze the impact of the main parameters for the genetic algorithm.

关键词： Optimization Precoding Receivers Genetics Lighting Reflection Light sources Visible light communication optical communication free-space optical communication multiple-input multiple-output

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A Compact High-Isolation Four-Element MIMO Antenna with Asymptote-Shaped Structure

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SENSORS 2023年第5期23卷 2484页

作者： Wu, Aiting Tao, Yingxiang Zhang, Pengquan Zhang, Zhonghai Fang, Zhihua Hangzhou Dianzi Univ Sch Elect & Informat Hangzhou 310018 Peoples R China

The demand for high-speed wireless communication systems has led to the development of ultrawide-band (UWB) antennas with a compact size and high performance. In this paper, we propose a novel four-port multiple-input multiple-output (MIMO) antenna with an asymptote-shaped structure that overcomes the limitations of existing designs for UWB applications. The antenna elements are placed orthogonally to each other for polarization diversity, and each element features a stepped rectangular patch with a tapered microstrip feedline. The unique structure of the antenna significantly reduces its dimensions to 42 x 42 mm(2) (0.43 lambda x0.43 lambda@ 3.09GHz), making it highly desirable for use in small wireless devices. To further enhance the antenna's performance, we use two parasitic tapes on the ground plane at the back as decoupling structures between adjacent elements. The tapes are designed in a windmill shape and a rotating extended cross shape, respectively, to further improve the isolation. We fabricated and measured the proposed antenna design on a single-layer substrate (FR4) with a dielectric constant of 4.4 and a thickness of 1 mm. The measured results show that the impedance bandwidth of the antenna is 3.09-12 GHz, with an isolation of -16.4 dB, an envelope correlation coefficient (ECC) of 0.02, a diversity gain (DG) of 9.991 dB, an average total effective reflection coefficient (TARC) of -20 dB, an overall group delay value less than 1.4 ns, and a peak gain of 5.1 dBi. Although there may be some antennas that have better performance in one or two specific aspects, our proposed antenna has an excellent trade-off among all the antenna characteristics including bandwidth, size, and isolation. The proposed antenna also exhibits good quasi-omnidirectional radiation properties, making it well-suited for a range of emerging UWB-MIMO communication systems, particularly in small wireless devices. In summary, the compact size and ultrawide-band capabilities of the pro

关键词： UWB antenna multiple-input multiple-output high isolation asymptote-shaped polarization diversity

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Optimized wireless communication for 6G signal processing using memory-augmented deep unfolding network

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2024年第11期37卷 e5796-e5796页

作者： Eswaramoorthi, R. Prasad, M. Rama, Senthil R. Maheswari, V. Uma KSR Coll Engn Dept Elect & Commun Engn Tiruchengode Tamil Nadu India Vellore Inst Technol Chennai Sch Comp Sci & Engn Chennai Tamil Nadu India DMI Coll Engn Dept Elect & Elect Engn Chennai Tamil Nadu India Anna Univ Dept Informat & Commun Engn Chennai Tamil Nadu India

In this manuscript, optimized wireless communication for 6G signals processing using memory-augmented deep unfolding network (WC-6G-SP-MADUN) is proposed. The aim of this work is to give a memory-augmented deep unfolding network approach with a focus on belief propagation decoding of error correction codes and multiple-input multiple-output (MIMO) wireless systems. In contrast, compares and tabulates the performance of memory-augmented deep unfolding methodologies with classic principled procedures, which could potentially enable 6G. Here, the wireless communication for 6G signal processing methods was used for a variety of receiver functions, including self-interference cancelation, signal estimation and detection using memory-augmented deep unfolding Network (MADUN), and advanced error correction by clouded leopard optimization algorithm (CLOA). Furthermore, outline the general framework of memory-augmented deep unfolding method for any kind of signal processing application and talk about cutting edge research paths that will make it possible to build communication networks in the future. The proposed approach is implemented in MATLAB;the performance is analyzed with performance metrics such as reliability, complexity, SNR gain, convergence rate, hardware efficiency, and quantization bit width. The proposed approach attains higher SNR gain 17.96%, 24.75%, and 30.09%;lower complexity 17.92%, 23.41%, and 30.13%;and higher convergence 18.01%, 25.41%, and 31.39% when analyzed with existing techniques such as redefined wireless communication for 6G: signal processing meets deep learning and deep unfolding (RWC-6G-SP-DU), lower complication deep unfolded neural network receiver for MIMO under probability data association detector (LC-DUNN-MIMO-PDAD), and deep learning in physical layer communications: evolution with prospects on 5G and 6G networks (DL-PLC-6G), respectively. In this manuscript, optimized wireless communication for 6G signals processing using memory-augme

关键词： clouded leopard optimization algorithm memory-augmented deep unfolding network multiple-input multiple-output signal processing and signal noise ratio

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