Spatial Dynamic Wideband Modeling of the MIMO Satellite-to-Earth Channel by Andreas Lehner, Alexander Steingaß

“…A novel MIMO (multiple input multiple output) satellite channel model that allows the generation of associated channel impulse response (CIR) time series depending on the movement profile of a land mobile terminal is presented in this paper. …”
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Detector Dead Time Determination and Optimal Counting Rate for a Detector Near a Spallation Source or a Subcritical Multiplying System by V. Bécares, J. Blázquez

“…For the case of a spallation source, counting rates do not follow Poisson's statistics because of the multiplicity of the number of neutrons emitted by incident proton. …”
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Application of Vibrational Power Flow to a Passenger Car for Reduction of Interior Noise by S.K. Lee

“…Transfer path analysis using the vibroacoustic reciprocity technique or multiple path decomposition method has generally been used for structure-borne noise path analysis. …”
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An overview of the CSI feedback based on deep learning for massive MIMO systems by Muhan CHEN, Jiajia GUO, Xiao LI, Shi JIN

“…The massive multiple-input multiple-output (MIMO) technology is considered to be one of the core technologies of the next generation communication system.To fully utilize the potential gains of MIMO systems,the base station should accurately acquire the channel state information (CSI).Due to the significant increase in the number of antennas,the traditional feedback schemes based on the codebook or vector quantization are faced with great technical challenges.Recently,deep learning (DL) has provided a new idea for solving CSI feedback problems in massive MIMO systems.It was focused on the key technologies of the CSI feedback for massive MIMO systems.Firstly,the background and significance of the CSI feedback were expounded.Then,a model for the massive MIMO system was established and the sparse nature of CSI was analyzed.Several schemes of introducing DL into the CSI feedback mechanism were introduced and compared in detail.Finally,a further prospect on the development trend of the CSI feedback based on DL was made.…”
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PROBABILISTIC FATIGUE LIFE PREDICTION APPROACH FOR MULTI-SITE DAMAGE COMPONENTS by XIE LiYang, MA YuanYuan, LIU JianZhong, WU NingXiang, CHEN Bo

“…Fatigue is a phenomenon of high uncertainty,especially for components with multiple damage sites.The fatigue life（ either mean value or probability distribution of the random variable） of a complex component with multiple damage sites is not equal to that of a simple component with only one damage site.A multi-site damage component is a series system with many weak links（ damage sites） in probability sense.A probabilistic fatigue life prediction model for multi-site damage component is presented based on a systematic thought,as well as the order statistics and extreme statistics concept.Such developed model can naturally reflect the effect of the dependence among different damage sites.Experimental result and the example on multi-site damage component fatigue life prediction shows that the fatigue life of a multi-site damage component is much lower than that of a single site damage component.…”
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Joint power control for untrusted relay cooperation-based confidential communication by Wen-jiang FENG, Wei-heng JIANG, Yi-na DENG, Yang YUAN

“…The scenario that multiple cell-edge mobile stations (MS) all without direct-links to the base station (BS) but have confidential messages in the uplink in the presence of untrusted relay (UR) cooperation was considered.In order to implement the secure communication between BS and multiple MS，destination-based jamming (DBJ) scheme was adopted.With the assumption that all MS had fixed transmit power，the joint UR and BS power control which aims at maximizing system sum secrecy rate was discussed.For this problem，analysis indicated that it was equivalent to joint access control and power allocation problem thus its NP-hard.Through problem relaxation，a suboptimal MS access control and alternatively power allocation algorithm was provided.This algorithm is proved to have polynomial complexity and can converge to at least a suboptimal solution for original problem.Simulation results show that compared with the benchmark algorithms，the proposed suboptimal algorithm is better in the achievable secrecy rate performance.…”
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Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication by Ji Won Jung, Ki Man Kim

“…Furthermore, we expand iterative turbo equalizer techniques for single-input-single-output (SISO) system to multiple-input-multiple-output (MIMO) system in order to increase data rates for underwater sensor communication channel. …”
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Use and scope of ultrasonography in rheumatology in India by Parasar Ghosh, Prasan Deep Rath

“…US can be performed readily in the clinic, with an assessment of multiple joints at the same appointment, providing a “one-stop” answer to many MS problems. …”
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Superconducting quantum computing optimization based on multi-objective deep reinforcement learning by Yangting Liu

“…More precise measurements require simulation control at multiple experimental stages. Based on this, we improved a multi-objective deep reinforcement learning method in mathematical convex optimization theory for multi-process quantum optimal control optimization. …”
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Delay Analysis of Networked Control Systems Based on 100 M Switched Ethernet by Ming Li

“…According to the working principle of Ethernet switch, the formulas of the upper bound delay of the single-level switched Ethernet and the multiple-level switched Ethernet are deduced by the timing diagram method, and the values of the upper bound delay are also given. …”
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Coordinated air-ground scheduling for UAV-assisted cell-free massive MIMO by Danhao DENG, Chaowei WANG, Fan JIANG, Weidong WANG

“…Cell-free massive multiple-input multiple-output (MIMO) technology uses a large number of access points (AP) to provide efficient communication services for terrestrial users.However, massive APs and users increase the demand for channel state information detection, especially for users with high moving speeds.In order to reduce the consumption of pilot resources, a dual system architecture that integrates unmanned aerial vehicle-assisted (UAV-assisted) communications and cell-free massive MIMO communications was proposed.The architecture was able to predict the movement trajectories of high-speed users and use UAVs to provide them with reliable communications.A UAV trajectory design and user scheduling scheme based on deep reinforcement learning (DRL) was further proposed, which maximized the system sum rate under the premise of satisfying various constraints.Simulation results demonstrate that the proposed scheme is able to predict user trajectories and improve system sum rate compared with existing schemes.…”
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ROLLING BEARING FAULT DIAGNOSIS BASED ON VMD-CWT-CNN by CHEN DaiJun, CHEN LiLi, DONG ShaoJiang

“…Firstly, the bearing vibration signal is decomposed into multiple modal components with different center frequencies by VMD. …”
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Multi-objective data collecting strategies for wireless sensor network based on the time variable multi-salesman problem and genetic algorithm by Hao FENG, Lei LUO, Yong WANG, Miao YE

“…Comparing to the traditional data collecting method with data route,the technology of wireless mobile nodes has gradually became a new technique in the wireless sensor network.As the solution to the visiting order of the static nodes was an intrinsic NP-hard problem,a more general multi-objective data colleting strategies based on multi-mobile nodes was proposed.The proposed data collecting technique was abstracted as a model of time variable multiple traveling salesman problem.Belonging to a discrete optimal problem,the proposed model was solved by with a proposed hybrid genetic algorithm to determine the paths of the multi-mobile nodes.The convergence analysis of the proposed algorithm was given.With the experiment of open dataset,the proposed model based on the time variable multiple traveling salesman problem and the proposed hybrid genetic algorithm certify a certain improvement to the efficiency and real-time ability.…”
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A peak-to-average power ratio reduction method for mixed-numerology multi-carrier systems by Nan SHI, Xiaoran LIU, Jun XIONG, Xiaoying ZHANG, Jibo WEI

“…In order to support diverse service demands of communication scenarios, 5G adopts the mixed-numerology system based on orthogonal frequency division multiplexing (OFDM).The mixed-numerology systems still have the problem of high peak-to-average power ratio (PAPR).Furthermore, its design structure makes it difficult to apply traditional PAPR suppression methods straight forwardly, in which mixed signals are generated by superimposing multiple sub-signals with different parameters.An optimization model for minimizing PAPR in mixed-numerology systems was established based on tone reservation method.Utilizing the characteristic of single-peak of time-domain kernel, the multiple copies were generated in different numerologies based on the peak position of the mixed signal.The mixed time-domain kernel was then superimposed to reduce the peaks of the mixed signal.Since the proposed algorithm didn’t require inverse fast Fourier transform (IFFT)/ fast Fourier transform (FFT) operations during iteration, it had relatively low computational complexity.Simulation results show that the proposed algorithm effectively reduces the PAPR of mixed signals.…”
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A massive MIMO-OTFS robust transmission scheme for vehicular networks using sensing-assisted communication by Weidong WANG, Hui GAO, Xin SU, Limin XIAO, Shiqiang SUO, Qiusha GONG

“…For a multi-user integrated sensing and communication system in the network of vehicles, a robust sensing-assisted communication massive multiple-input multiple-output (MIMO) orthogonal time frequency space (OTFS) transmission scheme was proposed.Due to the limited sensing accuracy of the radar, errors existed in the channel state information (CSI) reconstructed based on sensing parameters.The transmission performance decreased as a result.To address this issue, the CSI in the delay doppler domain was reconstructed based on the sensing parameters by the transmitter firstly.And a robust beam forming scheme was designed considering the CSI error.Secondly, the channel estimation error and inter user interference were perceived by receivers based on sensing parameters.Then the robust receiver was designed by incorporating the perceived interference errors into the signal detector in an analytical way.Finally, numerical simulation results show that the proposed method effectively reduces the system bit error rate and increases the data reception rate of users.The proposed method improves the overall system performance in this situation.…”
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AOA, Delay, and Complex Propagation Factor Estimation for the Monostatic MIMO Radar System by Saleh O. Al-Jazzar, Sami Aldalahmeh

“…In this paper, we propose a solution to find the angle of arrival (AOA), delay, and the complex propagation factor for the monostatic multiple-input multiple-output (MIMO) radar system. …”
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Innovative IaaS Management System for Sensor Devices and IT Resources by Hitomi Takahashi, Takayuki Kushida

“…This ad hoc method of using sensor networks has many limitations. First, multiple users cannot share a sensor device at the same time. …”
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TOPOLOGY OPTIMIZATION DESIGN OF AN ELECTRIC EXCAVATOR FALLING OBJECT PROTECTIVE STRUCTURES by MA Chao, LU PengCheng, ZHAO YueHe, ZHANG Xing, QIU WenNing

“…Firstly, the dynamic and nonlinear crush process is simplified into multiple static and nonlinear deformation processes based on equivalent displacement. …”
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Intelligent CSI feedback method for fast time-varying FDD massive MIMO system by Yong LIAO, Shuai WANG, Ning SUN

“…In the frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system, the channel state information (CSI) matrix existed noise caused by the wireless channel interference and the time correlation caused by Doppler shift.Because of these effects, the communication system couldn’t guarantee the requirements of reliability and low delay.An intelligent CSI feedback method was adopted.The convolutional neural network (CNN) and batch normalization (BN) network was used to extract the noise in the CSI matrix and learned the spatial structure of the channel.The time correlation between the CSI matrices through the attention mechanism was extracted to improve the accuracy of CSI reconstruction.The data was generated by the standard fast time-varying channel model simulation to train the network offline.System simulation and analysis show that the proposed method can effectively suppress the influence of noise and extract the time correlation caused by Doppler.Compared with the traditional CSI compression feedback algorithm and CsiNet algorithm, the proposed method has better NMSE and cosine similarity performance.…”
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Research on Random Access Technology of Inter-Frame Interference Cancellation for 6G Satellite Internet of Things by Yu XU, Qing GUO

“…In 6G, one of the important application scenarios is ultra-massive machinetype communications, which is mainly oriented to the application scenarios of concurrent access of massive terminals such as the satellite Internet of Things.How to design an access mechanism that can meet the concurrent access service requirements of large-scale users in machine communication scenarios for the future 6G satellite communication network is an important problem to be solved.A random access protocol based on intra-frame interference cancellation was proposed.In this protocol, each access user who needs to transmit data sends multiple packet copies in one frame, and the receiver can successfully receive packets from multiple users in confl icting time slots by using interference cancellation algorithms in the frame.Compared with the traditional random access mechanism, this mechanism can greatly improve the throughput performance in the scenario of multi-user concurrent access.…”
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