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A Model-Driven Network Based on ISTA for Massive MIMO Signal Detection

A Model-Driven Network Based on ISTA for Massive MIMO Signal...

引用

international conference on Wireless communications and Signal Processing (WCSP)

作者： Hanying Zheng Yiqing Zhang Zhengyang Hu Rongchao Sun Jiang Xue Mathematics and Statistics Xi’ an Jiaotong University Xi'an China

ISBN: (纸本)9781665450867

Massive multiple-input multiple-output (MIMO) is a key technology in the fifth-generation (5G) wireless communication, and signal detection is a crucial module in the physical layer. However, signal detection for massive MIMO system suffers from high computational complexity due to its large scale. To address this problem, a model-driven neural network based on the iterative soft-thresholding algorithm (ISTA) called detection ISTA (DISTA) is proposed. We reformulate the MIMO detection problem into a least absolute shrinkage and selection operator (LASSO) problem and solve it by DISTA effectively. In the proposed approach, all the hyper-parameters are adaptively learnable and a convolutional neural network (CNN) is used as a sparse operator to transform the transmitted signals into sparse vectors. Simulation results demonstrate that the proposed approach can achieve near-optimal performance. Moreover, compared with other state-of-art deep learning based model-driven methods, DISTA has much lower computational complexity.

关键词： Wireless communication Deep learning Adaptation models Computational modeling Massive MIMO Transforms Convolutional neural networks

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Joint Sensor Localization and Data Collection in UAV-Assisted Wireless Sensor Network

Joint Sensor Localization and Data Collection in UAV-Assiste...

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international conference on Wireless communications and Signal Processing (WCSP)

作者： Mingyue Zhu Wenyan Xu Ningyan Guo Zhiqing Wei School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665450867

Wireless sensor network (WSN) has been widely applied in the civil and military domains due to its wide coverage and remote monitoring capabilities. With high mobility and flexible deployment, unmanned aerial vehicles (UAVs) provide opportunities for efficient data collection and precise sensor localization of WSN. In this paper, we divide the WSN into regular hexagonal network cells (NCs) and apply a UAV for sensor localization and data collection. A sensor localization scheme based on received signal strength (RSS) is proposed. Further, Cramer-Rao lower bound (CRLB) of the sensor coordinates and the per-node capacity of WSN are derived. the simulation results show that there is a trade-off between the localization error of sensors and per-node capacity of WSN. this paper hopefully provides some guidelines and insights for joint sensor localization and data collection in UAV-assisted WSN.

关键词： Location awareness Wireless communication Wireless sensor networks Simulation Data collection Signal processing Autonomous aerial vehicles

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DRL-based Joint Beamforming Design for RIS-assisted mmWave MU-MISO system

DRL-based Joint Beamforming Design for RIS-assisted mmWave M...

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international conference on Wireless communications and Signal Processing (WCSP)

作者： Ken Long Jinsong Lin Guifang Zhao Yunhong Zhou Yangzhou Mei School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chong Qing China

ISBN: (纸本)9781665450867

Reconfigurable intelligence surface (RIS) is an emerging technology based on digital metamaterials, which can improve the transmission performance of wireless communication systems by controlling the incident signal beam by changing the electromagnetic properties of its reflecting elements. In this paper, a RIS-assisted millimeter-wave (mmWave) multi-user multiple input single output (MU-MISO) communication system is first designed, then the active hybrid precoding matrix at the base station (BS) and the shift matrix at the RIS are jointly optimized to maximize the user sum-rate. Finally, the deep deterministic policy gradient with prioritized experience replay (PER-DDPG) algorithm is proposed to solve the nonconvex problem arising from the joint optimization. Experimental results show that the proposed joint beamforming algorithm based on PER-DDPG has a higher average reward, faster convergence, and more stable training process than the traditional alternating iteration algorithm and the classical deep reinforcement learning (DRL) algorithm.

关键词： Wireless communication Training Array signal processing Precoding Millimeter wave technology Signal processing algorithms Reinforcement learning

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Social, Cultural, and Behavioral Modeling 1

引用

丛书名： Lecture Notes in Computer Science

2021年

作者： Robert thomson Aryn Pyke Muhammad Nihal Hussain Christopher Dancy

this book constitutes the proceedings of the 14th international conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2021, which was held online during July 6–9, 2021.

ISBN: (数字)9783030803872

ISBN: (纸本)9783030803865

this book constitutes the proceedings of the 14th international conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2021, which was held online during July 6–9, 2021.

关键词： Computer Application in Social and Behavioral Sciences Computer communication networks Computer and Information systems Applications Machine Learning Database Management

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Ergodic Capacity and Outage Probability Analysis of RIS-Aided Hybrid Satellite-Terrestrial networks

Ergodic Capacity and Outage Probability Analysis of RIS-Aide...

引用

international conference on Wireless communications and Signal Processing (WCSP)

作者： Yin Ding Yulong Zou Bin Li School of Telecomm. and Inform. Eng. Nanjing Univ. Posts & Telecomm. Nanjing P. R. China

ISBN: (纸本)9781665450867

Using satellites to provide services with ubiquitous coverage is considered as an indispensable part of 6G era. communication between the satellite and terrestrial user may be interrupted due to the presence of obstacles or deep shadowing, which can be improved by deploying reconfigurable intelligent surfaces (RIS). In this paper, we consider a hybrid satellite-terrestrial network (HSTN) consisting of one satellite, one terrestrial user, and a RIS which is employed to improve the reliability of wireless transmissions between the satellite and the terrestrial user. Performance analysis of the RIS-aided HSTN is carried out by deriving the upper bound of ergodic capacity and approximation of outage probability, respectively. Numerical results show that increasing the number of reflecting elements significantly improves both the ergodic capacity and outage performance of the system. Moreover, improved channel conditions between the satellite and the terrestrial user also contribute to the capacity and reliability of the system.

关键词： Wireless communication Satellites Upper bound Probability Signal processing Power system reliability Reliability

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Malicious Models-based Federated Learning in Fog Computing networks

Malicious Models-based Federated Learning in Fog Computing N...

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international conference on Wireless communications and Signal Processing (WCSP)

作者： Xiaoge Huang Yang Ren Yong He Qianbin Chen School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9781665450867

In the fog computing network (FCN), due to the characteristics of user dispersion and real-time data, the user privacy is an urgent issue to be solved. Federated learning is considered as a potential solution to avoid data leakage between fog nodes and remote clouds. In this paper, a malicious models-based federated learning framework is proposed, in which the dual-layer blockchain contains the main-blockchain and the directed acyclic graph chain is enabled in the network structure to ensure the data security. Moreover, in federated learning, the reliability of local models cannot be guaranteed, when there are malicious models, the global model accuracy will be decreased. An isolation forest-based malicious model detection algorithm is proposed, which could filter malicious local models and perform global aggregation through the Stochastic Gradient Descent algorithm to ensure the security of the global model. Finally, the simulation results show the effectiveness of the proposed algorithm.

关键词： Wireless communication Federated learning Computational modeling Simulation Signal processing algorithms Stochastic processes Forestry

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Energy-Efficient Optimization for Multi-cell Distributed Massive MIMO URLLC systems

Energy-Efficient Optimization for Multi-cell Distributed Mas...

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international conference on Wireless communications and Signal Processing (WCSP)

作者： Xiaoyue Zhu Bo Liu Pengcheng Zhu Jiamin Li Yan Wang National Mobile Communications Research Laboratory Southeast University Nanjing P. R. China

ISBN: (纸本)9781665450867

One of the most critical services in the fifth generation (5G) mobile communication is ultra-reliable and low-latency communication (URLLC). In this paper, we investigate the energy efficiency (EE) maximization problem of URLLC for the multi-cell distributed massive MIMO (DM-MIMO) system through a joint optimization of beamforming and remote radio unit (RRU) selection. the formulated problem is a mixed integer nonlinear program (MINLP) and then we solve it by applying efficient approaches, including the Dinkelbach method, semidefinite relaxation (SDR), reweighted ℓ 1 -norm and auxiliary variable approximation. By combining these measures in one iteration, an energy-efficient optimization algorithm is proposed to find the suboptimal solution of the problem. Simulation results show that the proposed algorithm converges fast and significantly improves the EE of the multi-cell DM-MIMO URLLC system.

关键词： Wireless communication Array signal processing Simulation Signal processing algorithms Massive MIMO Quality of service Ultra reliable low latency communication

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Joint Radar Node Scheduling and Resource Assignment in Radar Network for Multi-Target Tracking Under Spectrum Coexistence

Joint Radar Node Scheduling and Resource Assignment in Radar...

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international conference on Signal Processing systems, ICSPS

作者： Jing Dong Chenguang Shi Wangyang Yu Jianjiang Zhou Junkun Yan Key Laboratory of Radar Imaging and Microwave Photonics Nanjing Univ. Aeronaut. Astronaut Nanjing China Wuhan Maritime Communication Research Institute Wuhan China National Laboratory of Radar Signal Processing Xidian University Xian China

this paper proposes a joint radar node scheduling and resource assignment (JRNSRA) strategy in radar network for multi-target tracking under spectrum coexistence. the main purpose of this strategy is to minimize the multi-target tracking error under several transmit resource budgets of radar network. the expression of the predicted Bayesian Cramer-Rao lower bound (BCRLB) is derived and used to measure the target tracking performance. Since the JRNSRA strategy is a non-convex optimization problem, we propose a two-step solution algorithm to solve the resulting problem. Simulation results show that the JRNSRA strategy can achieve lower multi-target tracking error compared with other strategies under the same spectrum coexistence environment.

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Initial Development of Ground Robot-based Launching Device for Volcano Lake pH and Temperature Measurement

Initial Development of Ground Robot-based Launching Device f...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Kate Ira B. Augusto Charles Alver G. Banglos Jim David D. Ang Carl John O. Salaan Department of Electrical Engineering and Technology College of Engineering and Technology Mindanao State University-Iligan Institute of Technology Iligan City Philippines

Sampling or monitoring crater lakes is a meaningful way to determine volcanic emissions composition. However, close in situ monitoring exposes volcanologists to volcanic chemicals and eruption danger. A robotic remote monitoring system significantly reduces volcanologists’ risk during eruptive phenomena. But, ground robots generally still have difficulties performing crater lake monitoring; it is beyond its immediate vicinity.A capsule launching device from a mobile robot allows for obtaining information on the crater lake conditions. thus, this paper proposes using a tethered-capsule launching robot for volcano lake monitoring. this capsule contains pH and temperature sensors, as suggested by the Philippine Institute of Volcanology and Seismology (PHIVOLCS). It is also equipped with a wireless transmission module. A unique control technique for the launching and retrieval mechanism of the capsule is also presented. the launching and retrieval mechanism is tested by its ability to launch the capsule by 3 meters and its capability to retrieve it. Testing the pH sensor in three different pH solutions yielded an average error of 1.23 percent. On the other hand, the average difference of the readings from the thermocouple and the laboratory thermometer was 1.03 percent.

关键词： Temperature measurement Meters Wireless sensor networks thermometers thermocouples Lakes Robot sensing systems

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Selecting a Receiver for Wideband Spectrum Sensing in Cognitive Radio systems Based on an Assessment of the Signal Environment Complexity 21st

Selecting a Receiver for Wideband Spectrum Sensing in Cognit...

引用

21st international conference on Next Generation Teletraffic and Wired/Wireless Advanced networks and systems, NEW2AN 2021 and 14th conference on Internet of things and Smart Spaces, ruSMART 2021

作者： Podstrigaev, Alexey S. Smolyakov, Andrey V. Likhachev, Vladimir P. Efimov, Sergei E. Davydov, Vadim V. Saint Petersburg Electrotechnical University "LETI" St. Petersburg Russia Zhukovsky-Gagarin Air Force Academy Voronezh Russia Saint Petersburg State University of Aerospace Instrumentation Saint Petersburg Russia Peter the Great Saint Petersburg Polytechnic University St. Petersburg195251 Russia The Bonch-Bruevich Saint - Petersburg State University of Telecommunications Saint Petersburg193232 Russia

ISBN: (纸本)9783030977764

A matrix receiver and a sub-Nyquist receiver are shown to provide the processing of the largest number of time-superimposed pulses. In practice, still, the number of pulses’ overlaps depends on the signal environment complexity. Besides, from the point of view of the wideband analyzer, random factors determine this environment. therefore, to select the receiver type suitable for the developed wideband analyzer (WBA), a quantitative indicator of the signal environment complexity is required. In this paper, the probability of overlap not less than M pulses is proposed as such an indicator. the expressions obtained for calculating this probability allowed to plot the probability of overlapping in time of M and more pulses against the number of radio emission sources at different duty-off factors of the pulse sequences emitted the sources. To ease the attribution of obtained probabilities to actual operating conditions of the WBA, the paper provides the numbers of radars of various purposes which can form a signal environment with given complexity. the paper also gives recommendations on selecting an optimal receiver for the developed wideband analyzer considering implementation complexity and the desired ratio overlapped pulses processing efficiency. the latter is understood to be a ration of successfully processed overlapped pulses under predicted analyzer’s operational conditions characterized by types and numbers of radio emission sources. To summarize, the presented results make it possible to select a receiver for the wideband spectrum sensing depending on the potential complexity of the signal environment. © 2022, Springer Nature Switzerland AG.

关键词： Cognitive radio

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