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Iterative geometric mean decomposition based secure hybrid precoder design for mmWave massive MIMO communication systems

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2021年 135卷 153749-153749页

作者： Kabalci, Yasin Ali, Muhammad Nigde Omer Halisdemir Univ Dept Elect & Elect Engn TR-51240 Nigde Turkey Univ Azad Jammu & Kashmir Dept Elect Engn Muzaffarabad 13100 Pakistan

Physical layer security (PLS) is one of the major concerns in modern mobile communication systems and has got special attention in millimeter-wave (mmWave) communication systems. The principal objective of this study is to construct a hybrid precoder that can secure the mmWave communication systems by incorporating the finest techniques to obtain a secure precoder and combiner for the legitimate receiver and to ensure minimum information leakage towards illegal-user. In this context, firstly, a traditionally coordinated precoder and combiner design algorithm is exploited in the analog domain to protect the legitimate receiver, and then, iterative geometric mean decompositions (IGMD) scheme is applied to obtain a digital precoder and combiner. Moreover, artificial noise (AN) is also transmitted towards illegal-user that further alleviates the privacy of the system. Finally, we compared our results with our latest proposed algorithm for a secure hybrid precoder system based on the generalized triangular decomposition (GTD) method and a recent algorithm presented in the literature. The simulation studies confirmed that the IGMD based approach considerably degrades the eavesdropping capabilities of the undesired user and provides significantly better secrecy rate performance as much as 3.5 bps/Hz than its counterparts.

关键词： 5G GTD hybrid precoder IGMD mmWave PLS

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Secured hybrid precoder Design Based on Generalized Triangular Decomposition Method 2

Secured Hybrid Precoder Design Based on Generalized Triangul...

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IEEE 2nd Global Power, Energy and Communication Conference (GPECOM)

作者： Kabalci, Yasin Ali, Muhammad Nigde Omer Halisdemir Univ Elect & Elect Engn Nigde Turkey Univ Azad Jammu & Kashmir Dept Elect Engn Muzaffarabad Pakistan

ISBN: (纸本)9781728162645

The researchers and scientists suggest the use of millimeter-waves (mmWaves) for upcoming communication systems that can provide 200 times more bandwidth than the existing technology to meet all the challenging demands of modern mobile users. Since the demands of mobile users are exponentially increasing with the passage of time, exploiting the upper part of electromagnetic spectrum become vital to attain high data rate, broadband device connectivity, extreme capacity and nominal latency for upcoming communication systems. However, certain degradation problems are realized by the higher frequency bands. Thanks to the shorter wavelengths of mmWaves, which allow the employment of multiple-antenna technology to generate narrow and directed beam, and enhance the propagation gain. Still security is considered as one of the primary issues and has got lot of attention from the researchers in the recent times. In this study we aim to develop a hybrid precoder design that can ensure secure mmWave massive multiple-input multiple-output (MIMO) communications by exploiting generalized triangular decomposition (GTD) method in digital domain. Our simulation studies also confirms the effectiveness of GTD scheme.

关键词： 5G physical layer security hybrid precoder mmWave communication systems GTD

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hybrid precoder and Combiner Design With Low-Resolution Phase Shifters in mmWave MIMO Systems

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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2018年第2期12卷 256-269页

作者： Wang, Zihuan Li, Ming Liu, Qian Swindlehurst, A. Lee Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Dalian Univ Technol Sch Comp Sci & Technol Dalian 116024 Peoples R China Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA Tech Univ Munich Inst Adv Study D-80333 Munich Germany

Millimeter-wave (mmWave) communications have been considered as a key technology for next-generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless networks. Economical and energy-efficient analog/digital hybrid precoding and combining transceivers have been often proposed for mmWave massive multiple-input multiple-output (MIMO) systems to overcome the severe propagation loss of mm Wave channels. One major shortcoming of existing solutions lies in the assumption of infinite or high-resolution phase shifters (PSs) to realize the analog beamformers. However, low-resolution PSs are typically adopted in practice to reduce the hardware cost and power consumption. Motivated by this fact, in this paper, we investigate the practical design of hybrid precoders and combiners with low-resolution PSs in mm Wave MIMO systems. In particular, we propose an iterative algorithm which successively designs the low-resolution analog precoder and combiner pair, aiming at conditionally maximizing the spectral efficiency. Then, the digital precoder and combiner are computed based on the obtained effective baseband channel to further enhance the spectral efficiency. In an effort to achieve an even more hardware-efficient large antenna array, we also investigate the design of hybrid beamformers with one-bit resolution (binary) PSs, and present a novel binary analog precoder and combiner optimization algorithm. After analyzing the computational complexity, the proposed low-resolution hybrid beamforming design is further extended to multiuser MIMO communication systems. Simulation results demonstrate the performance advantages of the proposed algorithms compared to existing low-resolution hybrid beamforming designs, particularly for the one-bit resolution PSs scenario.

关键词： Millimeter wave (mmWave) communications hybrid precoder multiple-input multiple-output (MIMO) phase shifters one-bit quantization

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Max-min hybrid precoder design for mmWave multi-group multicasting systems

Max-min hybrid precoder design for mmWave multi-group multic...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Gui, Peng Zhao, Ming-Min Shi, Qingjiang Wu, Qihui Zhejiang Sci Tech Univ Sch Info Sci & Tech Hangzhou Peoples R China Zhejiang Univ Coll ISEE Hangzhou Peoples R China Nanjing Univ Aeronaut & Astronaut Coll EIE Nanjing Peoples R China

ISBN: (纸本)9781538645024

This paper investigates hybrid precoding for millimeter-wave (mmWave) multi-group multicasting systems with the consideration of max-min fairness. We formulate it as the optimization problem of maximizing the minimum signal-to-interference-plus-noise ratio among all users subject to a total transmit power constraint and constant modulus constraints. The problem is nonconvex and hard to solve due mainly to the nonlinear coupling of the digital precoder and the analog precoders. By resorting to the recently proposed penalty dual decomposition (PDD) method, the max-min hybrid precoding problem reduces to repeatedly solving four subproblems, each of which admits simple solution. Numerical results validate the effectiveness of the proposed max-min fairness hybrid precoding algorithm.

关键词： mmWave hybrid precoder multicasting penalty dual decomposition

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hybrid Analog-Digital precoder Design for Securing Cognitive Millimeter Wave Networks

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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2021年 16卷 4019-4034页

作者： Kong, Zhengmin Song, Jing Wang, Chao Chen, Hongyang Hanzo, Lajos Wuhan Univ Sch Elect Engn & Automat Automat Dept Wuhan 430072 Peoples R China Xidian Univ Integrated Serv Networks Lab Xian 710071 Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Zhejiang Lab Hangzhou 311121 Peoples R China Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

Millimeter wave (mmWave) communications and cognitive radio technologies constitute key technologies of improving the spectral efficiency of communications. Hence, we conceive a hybrid secure precoder for enhancing the physical layer security of a cognitive mmWave wiretap channel, where a secondary transmitter broadcasts confidential information signals to multiple secondary users under the interference temperature constraint of the primary user (PU). The optimization problem is formulated as jointly optimizing the analog and digital precoder for maximizing the minimum secrecy rate of all the secondary users under practical constraints. In particular, our design satisfies the constraint on the maximum interference power received by multiple PUs, as well as the secondary users' minimum quality-of-service (Qos), and the unit-modulus constraint on the analog precoder. Due to the non-convexity of the resultant objective function and owing to the coupling between the analog and digital precoder, the optimization problem formulated is nonconvex and nonlinear, hence it is very challenging to solve directly. Hence, we first transform it into a tractable form, and develop a penalty dual decomposition (PDD) based iterative algorithm to locate its Karush-Kuhn-Tucker (KKT) solution. Finally, we generalize the proposed PDD algorithm to a secure hybrid precoder design relying on practical finite-resolution phase shifters and show that the proposed PDD algorithm can be straightforwardly adapted to handle the scenario, where each PU is equipped with multiple antennas and the CSI of multiple eavesdroppers (Eves) is imperfectly known. Our simulation results validate the efficiency of the proposed iterative algorithm.

关键词： Optimization Couplings Heuristic algorithms Security Interference Approximation algorithms Linear programming Millimeter wave cognitive radio physical layer security hybrid precoder penalty dual decomposition

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An Efficient mmWave MIMO Transmission with hybrid Precoding

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2024年第7期18卷 2010-2026页

作者： Liu, Ying Bian, Jinhong Wang, Yuanyuan Yancheng Inst Technol Sch Informat Technol Yancheng 224051 Peoples R China

This work investigates the hybrid precoder scheme in a millimeter wave (mmWave) multi-user MIMO system. We study a sum rate maximization scheme by jointly designing the digital precoder and the analog precoder. To handle the non-convex problem, a block coordinate descent (BCD) method is formulated, where the digital precoder is solved by a bisection search and the analog precoder is addressed by the penalty dual decomposition (PDD) alternately. Then, we extend the proposed algorithm to the sub-connected schemes. Besides, the proposed algorithm enjoys lower computational complexity when compared with other benchmarks. Simulation results verify the performance of the proposed scheme and provide some meaningful insight.

关键词： hybrid precoder mmWave communications penalty dual decomposition.

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Performance evaluation of DHRR-RIS based HP design using machine learning algorithms

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Intelligent and Converged Networks 2023年第3期4卷 237-260页

作者： Girish Kumar N G Sree Ranga Raju M N the Department of Electronics and Telecommunication Engineering Bangalore Institute of TechnologyVisvesvaraya Technological UniversityBangalore 560004India the Department of Electronics and Communication Engineering Bangalore Institute of TechnologyVisvesvaraya Technological UniversityBangalore 560004India

Reconfigurable Intelligent Surfaces(RIS)have emerged as a promising technology for improving the reliability of massive MIMO communication ***,conventional RIS suffer from poor Spectral Efficiency(SE)and high energy consumption,leading to complex hybrid Precoding(HP)*** address these issues,we propose a new low-complexity HP model,named Dynamic hybrid Relay Reflecting RIS based hybrid Precoding(DHRR-RIS-HP).Our approach combines active and passive elements to cancel out the downsides of both conventional *** first design a DHRR-RIS and optimize the pilot and Channel State Information(CSI)estimation using an adaptive threshold method and Adaptive Back Propagation Neural Network(ABPNN)algorithm,respectively,to reduce the Bit Error Rate(BER)and energy *** optimize the data stream,we cluster them into private and public streams using Enhanced Fuzzy C-Means(EFCM)algorithm,and schedule them based on priority and emergency *** maximize the sum rate and SE,we perform digital precoder optimization at the Base Station(BS)side using Deep Deterministic Policy Gradient(DDPG)algorithm and analog precoder optimization at the DHRR-RIS using Fire Hawk Optimization(FHO)*** implement our proposed work using MATLAB R2020a and compare it with existing works using several validation *** results show that our proposed work outperforms existing works in terms of SE,Weighted Sum Rate(WSR),and BER.

关键词： Reconfigurable Intelligent Surfaces(RIS) Dynamic hybrid Relay Reflecting(DHRR)-RIS Multi User Multiple Input Multiple Output(MU-MIMO) hybrid precoder machine learning and deep learning algorithms channel state estimation

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Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway

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IEEE TRANSACTIONS ON COMMUNICATIONS 2022年第1期70卷 693-706页

作者： Meng, Fan Liu, Shengheng Huang, Yongming Lu, Zhaohua Purple Mt Labs Nanjing 211111 Peoples R China Southeast Univ Sch Informat Sci & Engn Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China ZTE Corp Shenzhen 518057 Peoples R China State Key Lab Mobile Network & Mobile Multimedia Shenzhen 518057 Peoples R China

The problem of beam alignment and tracking in high mobility scenarios such as high-speed railway(HSR) becomes extremely challenging, since large overhead cost and significant time delay are introduced for fast time-varying channel estimation. To tackle this challenge, we propose a learning-aided beam prediction scheme for HSR networks, which predicts the beam directions and the channel amplitudes within a period of future time with fine time granularity, using a group of observations. Concretely, we transform the problem of high-dimensional beam prediction into a two-stage task, i.e., a low-dimensional parameter estimation and a cascaded hybrid beamforming operation. In the first stage, the location and speed of a certain terminal are estimated by maximum likelihood criterion, and a data-driven data fusion module is designed to improve the final estimation accuracy and robustness. Then, the probable future beam directions and channel amplitudes are predicted, based on the HSR scenario priors including deterministic trajectory, motion model, and channel model. Furthermore, we incorporate a learnable non-linear mapping module into the overall beam prediction to allow non-linear tracks. Both of the proposed learnable modules are model-based and have a good interpretability. Compared to the existing beam management scheme, the proposed beam prediction has (near) zero overhead cost and time delay. Simulation results verify the effectiveness of the proposed scheme.

关键词： Radio frequency Array signal processing Training Predictive models Maximum likelihood estimation Parameter estimation Data integration Beam prediction parameter estimation high-speed railway maximum likelihood estimation alternating optimization data fusion hybrid precoder

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Energy efficiency maximization of massive MIMO systems using RF chain selection and hybrid precoding

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TELECOMMUNICATION SYSTEMS 2022年第2期80卷 251-261页

作者： Khalid, Salman Mehmood, Rashid bin Abbas, Waqas Khalid, Farhan Naeem, Muhammad Natl Univ Comp & Emerging Sci NUCES Islamabad Pakistan COMSATS Univ Wah Campus Islamabad Pakistan

Modern day millimeter wave communication systems prefer hybrid precoding architecture over digital architecture due to higher energy efficiency, lower power consumption and comparable spectral efficiency. Both energy efficiency and spectral efficiency defines the system performance of a hybrid precoder and are dependent on the number of available active RF chains. The aim to maximize energy efficiency without any obvious performance degradation in terms of spectral efficiency has created a tradeoff due to dependency of energy and spectral efficiency on RF chains. This tradeoff is being investigated in this paper by performing RF chain selection using evolutionary algorithms. We present a hybrid heuristic approach comprising of low computationally complex evolutionary algorithms for RF chain selection and successive interference cancellation for precoding. Furthermore, we have shown that for low SNR regime the analog percoding is optimal in terms of energy efficiency and for high SNR regime we can adopt the RF chain selection procedure to maximize the energy efficiency. Moreover, the channel irregularities do not effect our proposed scheme.

关键词： hybrid precoder Millimeter wave communication hybrid heuristic Achievable sum rate Energy efficiency RF chain selection

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Double Deep Reinforcement Learning for Fairness-Aware Sum-Rate Optimization in UxV-Enabled Multi-User Communication Systems 28

Double Deep Reinforcement Learning for Fairness-Aware Sum-Ra...

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28th Asia-Pacific Conference on Communications (APCC)

作者： Silvirianti Shin, Soo Young Kumoh Natl Inst Technol Dept IT Convergence Engn Gumi South Korea

ISBN: (纸本)9798350382617

This study proposes a double deep reinforcement learning (D-DRL) to improve an index of rate fairness and sum-rate in UxV-enabled multi-user communication systems. In this study, a UxV-assisted multi-user communications scenario is considered. By taking into account the tradeoff between the two objectives and the time-sequential movement of the UxV, two DRL-based actor-critic networks are integrated to solve the designated problem. In the first actor-critic network, the rate fairness is maximized by jointly optimizing a hybrid precoder with a UxV trajectory. Subsequently, considering the rate fairness as a learning reward of the first network, sum-rate is maximized in the second network under the consideration of transmission power budgets, limited UxV battery capacity, and quality of service (QoS) constraints. The results show that the D-DRL which considered rate fairness outperformed DRL which did not by achieving maximum rate fairness and a higher sum-rate.

关键词： Double deep reinforcement learning Fairness hybrid precoder Sum-rate UxV trajectory

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