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International Conference on Computer and Communications (ICCC)

作者： Huameng Tao Nan Ma Xiaoqi Qin Baoling Liu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi’an China

ISBN: (纸本)9781665409513

In this paper, we propose a joint communication and computing resource allocation scheme in mobile edge computing (MEC) networks aided by non-orthogonal multiple access (NOMA) device-to-device (D2D) technology, in which users are allowed to offload computing tasks to edge servers or D2D receivers. In this case, our optimization goal is to minimize the system delay under consideration of imperfect channel state information (CSI), which results in a multivariate coupled mixed-fraction non-linear programming problem being formulated. To solve this problem, we firstly decouple it into two sub-phases, namely the communication stage and the computing stage, and derive the closed-form expression of the power allocation coefficients without perfect CSI simultaneously. Then a spectrum resource allocation algorithm based on KM (KM-SRA) and a computing resource allocation algorithm based on maximum gain (MG-CRA) are proposed. Finally, by balancing the transmission delay and the computing delay, we propose an iterative algorithm to optimize the system delay according to KM-SRA and MG-CRA. The simulations illustrate that the proposed scheme can reduce the system delay and degrade communication interruption.

关键词： NOMA Closed-form solutions Computational modeling Programming Delays Device-to-device communication Resource management

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Edge-cloud cooperation driven surface roughness classification method for selective laser melting

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Advanced Engineering Informatics 2025年 66卷

作者： Ma, Shuaiyin Huang, Yuming Liu, Yang Yan, Zhiqiang Lv, Jingxiang Cai, Wei School of Computer Science and Technology Xi'an University of Posts and Telecommunications Xi'an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Xi'an710121 China Xi'an Key Laboratory of Big Data and Intelligent Computing Xi'an710121 China Shaanxi Union Research Centre of University and Enterprise for 5G+ Industrial Internet Communication Terminal Technology Xi'an University of Posts and Telecommunications Xi'an710121 China Department of Management and Engineering Linköping University LinköpingSE-581 83 Sweden Industrial Engineering and Management University of Oulu Oulu90570 Finland Key Laboratory of Road Construction Technology and Equipment of MOE Chang'an University Xi'an710064 China College of Engineering and Technology Southwest University Chongqing400715 China

Additive manufacturing (AM) technology is extensively utilized in aerospace and industrial manufacturing. However, parts built using AM are susceptible to spheroidization, porosity, cracks, and poor surface quality, making it difficult to establish an actionable product quality degree. Hence, developing a reasonable method to equate product quality with a new degree and further analyzing the product quality based on these standards has proven effective for enhancing part quality in AM. To achieve this goal, this paper proposes a surface roughness classification method that utilizes surface roughness analysis and sample enhancement. This method leverages edge cloud cooperation to efficiently analyze and integrate data from different sensors, enabling real-time monitoring and adjustment of the manufacturing process. Subsequently, the quality degree analysis system was developed utilizing matter-element extension cloud model. Furthermore, a bidirectional-gated recurrent unit (Bi-GRU) based model for quality classification and recognition has been established, with Wasserstein generative adversarial network (WGAN) employed for sample enhancement to address the issue of imbalanced column classification and to enhance the accuracy of both classification and recognition. Finally, the results obtained from this case study demonstrate through comparative experiments that the proposed method for classifying surface roughness can accurately identify 98% of prepared samples. © 2025 The Authors

关键词： Inspection

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NB-IoT Estrus Detection System of Dairy Cows Based on LSTM Networks

NB-IoT Estrus Detection System of Dairy Cows Based on LSTM N...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Nan Ma Lin Pan Shihao Chen Baoling Liu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi’an China

ISBN: (数字)9781728144900

ISBN: (纸本)9781728144917

To improve the revenue of dairy farms, cow estrus must be accurately monitored to track mating time. Narrow Band Internet of Things (NB-IoT) is considered as a promising technology to realize cost-effective detection system attributing to its wide coverage and low power consumption. To increase the success rate of real-time detection, machine learning based algorithms have been applied to extract patterns from estrus data. However, due to the lack of multivariate time series data, most previous studies do not consider using the time correlation to guide estrus detection. In this paper, we present a NB-IoT based solution framework where multivariate behavioral time series data collected by neck-mounted sensors and then uploaded to a cloud data center for further analysis through NB-IoT network. Based on the collected data, we propose an estrus prediction algorithm which gives estrus alert by exploiting Long-Short Term Memory (LSTM) and Convolution Neural Network (CNN). Through numerical studies conducted using real data set from the pasture, we show that our proposed solution outperforms exiting detection algorithms in terms of accuracy and efficiency.

关键词： Cows Logic gates Monitoring Temperature sensors Indexes Machine learning algorithms

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AoI optimal dynamic power control for IoT networks: A DRDPG approach 4

AoI optimal dynamic power control for IoT networks: A DRDPG ...

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4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Chi, Kai Wu, Mengjie Chen, Yiqing Xu, Chao State Key Laboratory of Integrated Service Networks Xidian University Shaanxi Xi’an China CETC Key Laboratory of Data Link Technology Shaanxi Xi’an China School of Information Engineering Northwest A&F University Shaanxi Yangling China AVIC Computing Technique Research Institute Shaanxi Xi’an China

ISBN: (纸本)9781665432030

Information freshness is crucial for time-critical IoT applications, since stale information will significantly affect the reliability and accuracy of decisions. This paper investigates the dynamic power control policy for IoT networks to optimize the information freshness, in terms of age of information (AoI), where the status update arrivals at source nodes (SNs) are stochastic. To reduce signaling overheads, the BS can observe the information freshness of the update packets stored at SNs only when the packets have been successfully delivered. To this end, we first formulate the AoI optimal dynamic power control problem as a Partially Observable Markov Decision Process (POMDP) with the continuous action space, where neither the instantaneous AoI at SNs nor channel power gains are known to the BS at the time of decision making. Then, we have proposed a deep recurrent deterministic policy gradient (DRDPG)-based power control (DRPC) algorithm to minimize the weighted average AoI at the BS. Finally, simulations are conducted to validate the effectiveness of our proposed algorithm by comparing it with baseline algorithms. ©2021 IEEE

关键词： Reinforcement learning

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A Novel 3D Non-stationary Channel Model with UPA for Massive MIMO V2V Communication in Crossroads Scattering Environments

A Novel 3D Non-stationary Channel Model with UPA for Massive...

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IEEE International Conference on Communications in China (ICCC)

作者： Fan Liu Nan Ma Jianqiao Chen Lulu Gu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi'an China

ISBN: (数字)9781728173276

ISBN: (纸本)9781728173283

In this paper, we propose a novel three-dimensional (3D) non-stationary geometry-based channel model with a uniform planar antenna array (UPA) for massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communication in crossroads scattering environments. Considering the nearfield effect, we first calculate the received phases and Doppler frequency variations caused by movements under the spherical wavefront assumption. In this case, we adopt a two-ring and four-quarter-cylinder model to characterize the moving vehicles and static scatterers on the building, respectively. Then, we derive the closed-form expressions of channel impulse responses (CIRs) of the proposed model and discuss statistical properties in detail, e.g., temporal auto-correlation function (ACF) and spatial crosscorrelation function (CCF). Furthermore, the impacts of the movements, distribution of scatterers and setting of UPA on channel statistical properties are studied. Finally, our numerical and simulation results show that our proposed model with limited scatterers can capture the characteristics of massive MIMO V2V communication in crossroads scattering environments while agreeing well with the theoretical model, thereby demonstrating the efficiency of our model.

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Multiple Basic Proposal Distributions Model Based Sampling Particle Filter

Multiple Basic Proposal Distributions Model Based Sampling P...

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International Conference on Information Fusion

作者： Lihong Shi Feng Yang Litao Zheng Xiaoxu Wang Liang Chen School of Automation Northwestern Polytechnical University Xi'an China CETC Key Laboratory of Data Link Technology Xi'an China

ISBN: (数字)9780578647098

ISBN: (纸本)9781728168302

A hybrid sampling strategy is considered in multimode sampling based particle filter to alleviate the degeneracy as one of the most typical problems in the particle filter. However, to achieve high accuracy, expensive computation cost is inevitable when generating the hybrid distribution. To overcome this problem, a novel framework of particle filter is proposed in this paper with an improved hybrid sampling strategy. The main novelty is that this framework can simplify the generation of the hybrid distribution and makes the selection of particles more reasonable, in which the likelihood of particle is used to select the particles and determine the weights of multiple basic proposal distributions. Two simulation examples are implemented to test performances of the proposed filter algorithm. The obtained results show that the proposed framework has several superior performances in comparison with the standard particle filter, the unscented particle filter and the multimode sampling based particle filter.

关键词： Proposals Probability density function Estimation Automation Monte Carlo methods Hybrid power systems Atmospheric measurements

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A Novel Non-Stationary Cylinder Model for Massive MIMO Air-To-Ground (A2G) Channels

A Novel Non-Stationary Cylinder Model for Massive MIMO Air-T...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Shihao Chen Nan Ma Jianqiao Chen Xiaoli Yang Baoling Liu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi’an China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

In this paper, we propose a novel single-hop cylinder-based channel model for massive multiple-input multiple-output (MIMO) air-to-ground (A2G) communication systems. With employing a uniform planar array (UPA) at the ground station (GS), we first characterize the geometrical relationships between transmitter and receiver through vectors in detail. Then, to describe the spatial non-stationary properties of clusters along the UPA, we propose a novel scatterer update process, which keeps the number of visible scatterers of different antenna elements constant. It also solves the high spatial-correlation problem, which results from the survival probability of the scatterer not tending to zero with the increase of distance. Moreover, we discuss the impacts of the spatial non-stationary properties on channel statistical characteristics, i.e., the spatial correlation function. Finally, our numerical and simulation results show that compared with other models, our proposed channel model can capture the spatial non-stationary properties of massive MIMO A2G channels observed in channel measurements well.

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A Novel 3D Wideband Geometry-Based Channel Model for 5G Massive MIMO Vehicle-to-Vehicle Communications in Urban Merging Areas

A Novel 3D Wideband Geometry-Based Channel Model for 5G Mass...

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IEEE International Conference on Communications Workshops, ICC

作者： Lulu Gu Nan Ma Jianqiao Chen Lingfeng Wang Baoling Liu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi'an China

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

In this paper, a novel three-dimensional (3D) wideband geometry-based stochastic model (GBSM) is developed for the fifth-Generation (5G) massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels in urban merging areas. Our proposed model consists of a semi-circle and multi-confocal semi-ellipsoids, which is the first GBSM that is capable of modeling the blocking effect of the sound barrier equipped in the merging area. Under the spherical wavefront assumption, we first derive the channel impulse responses (CIRs) of the proposed model in detail. Then we further generate the corresponding simulation model by using a ray selection algorithm with considering the influence of the sound barrier. Moreover, the impacts of the height of the sound barrier and the velocity of the vehicle on the statistical characteristics of the proposed model are discussed. Finally, our numerical and simulation results indicate that our proposed model can capture characteristics of massive MIMO V2V channels in a merging area, thereby demonstrating the efficiency of our proposed model.

关键词： Merging Channel models MIMO communication Numerical models Roads Computational modeling Wideband

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Joint Channel Assignment and Power Allocation for NOMA-based D2D Communications with Imperfect CSI

Joint Channel Assignment and Power Allocation for NOMA-based...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Tianqi Xing Nan Ma Ping Zhang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi'an China

In this paper, we propose a channel assignment and power allocation sheme for non-orthogonal multiple access (NOMA) device-to-device (D2D) communications. Our optimization goal is to maximize the sum rate of the D2D system, and considering the fairness factor simultaneously. Importantly, we innovatively consider the impact of imperfect channel state information (CSI) in our system, which makes our proposed algorithm more realistic and effective. We split the problem into two sub-problems: 1) one-to-one matching for the cellular user and D2D transmitter and finding the appropriate receivers for the D2D transmitter to form the D2D group; 2) power allocation for each D2D group. For the channel assignment, we derive a closed form expression of the scheduled data rate of D2D link with considering imperfect CSI by using mathematical approximation methods. And we transform the power allocation subproblem from a non-convex problem to convex one and use the Lagrangian multiplier method to get the optimal power allocation coefficients, considering the sensitivity of the successive interference cancellation (SIC) receiver. Moreover, the theoretical analysis and simulation results are presented to evaluate our proposed scheme for the NOMA-based D2D communications.

关键词： Device-to-device communication Receivers Resource management NOMA Transmitters Interference Channel allocation

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Modeling and Interoperability Testing of data link Based on DEVS

Modeling and Interoperability Testing of Data Link Based on ...

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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Wanyong Tian Chilian Chen Lulu Zhao Key Laboratory of Technology on Data link China Electronics Technology Group Corporation (CETC) 20th Institute Xi'an China

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

As a key information technique, data link plays an important role in modern information-based warfare. Compared to traditional communication systems, data link has better interoperability and hence could promote the cooperation of all combat units. Interoperability is based on exchanging and utilizing data with the purpose of realizing tactical functions. Modeling and interoperability testing of data link have always been a great challenge. Taking protocol rules and tactical functions as testing objects, data link models are expressed in Discrete Event System (DEVS) Specification in this paper. Simulations show that the proposed methodology could perform typical rule and function test. Besides, it provides good effectiveness and scalability.

关键词： Protocols Semantics Tools data models Interoperability Standards Testing

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