2026 No. 01

Publish Date：2026-01-06
Aiming at VLIW DSP compiler defect and exception handling method
Research on data encryption method based on UltraScale architecture
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Review and Comment

Survey and analysis of the integration of Wi-Fi and machine learning

DOI：10.16157/j.issn.0258-7998.256943

Author：Cheng Gang1，Luo Ye2

Author Affilications：1.Nokia Shanghai Bell Co.， Ltd.；2.Nokia Shanghai Bell Software Ltd.

Abstract：This paper conducts a survey and analysis of Wi-Fi solutions that incorporate AI/ML technologies. Firstly, it outlines the challenges associated with Wi-Fi technology characteristics and the evolution of the latest specifications. Secondly, it examines the feasibility of using AI/ML to improve Wi-Fi performance and user experience, along with the AI/ML use cases defined by the IEEE 802.11 TIG. Afterwards, the paper proposes system architecture for integrating AI/ML into Wi-Fi networks and analyzes typical use cases for practical Wi-Fi deployments. Finally, it presents an overview of the current constraints in applying AI/ML to Wi-Fi systems and discusses potential directions for future technological development.
Key word：
Wi-Fi 7
artificial intelligence
machine learning
IEEE 802.11bn
Wi-Fi 8
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Research progress of direct current micro-current standard sources

DOI：10.16157/j.issn.0258-7998.256787

Author：Li Zezhong，Feng Rongwei，Wan Bile

Author Affilications：Beijing Orient Institute of Measurement and Test

Abstract：The direct current micro-current standard source is widely used in fields such as calibration of electrical instruments, semiconductor testing, and electrostatic detection, involving key technologies like current negative feedback regulation and equipotential shielding. There are mainly three basic implementation methods for the direct current micro-current standard source: resistive, capacitive, and ionization. Each technology has its own unique advantages and limitations. This paper reviews the research status of domestic and foreign direct current micro-current standard sources in recent years, investigates the current situation of domestic and foreign direct current micro-current standard sources, and points out that China started relatively late in this field and there is a gap compared with the international advanced level.
Key word：
weak current
current source
semiconductor testing
View(1748) pdf(189)

Artificial Intelligence

Research on UAV highway slope fire detection algorithm based on improved YOLOv12

DOI：10.16157/j.issn.0258-7998.257060

Author：Cui Peiqiang1，Luo Mengqi1，Liu Shida2，Ouyang Yibo1，Guo Jian1，Chen Shaokun3

Author Affilications：1.Gezhouba Group Transportation Investment Co.， Ltd.；2.North China University of Technology；3.Henghua Digital Technology （Tianjin） Co.， Ltd.

Abstract：Aiming at the key problems of high missed detection rate of initial fire, significant interference of complex background and difficult balance between edge equipment deployment accuracy and real-time performance in UAV highway slope fire detection, this study proposes a lightweight visible light fire detection algorithm based on the improved YOLOv12 framework. The algorithm accurately extracts slope and road areas through instance segmentation technology to eliminate background interference. A small target enhancement feature pyramid ( SOPAN ) including high-resolution P2 layer and multi-path downsampling mechanism is designed to improve the detection ability of small targets, and a lightweight detection head ( LSCD ) based on shared convolution is constructed to achieve model complexity compression. The experimental results show that on the fusion UAV inspection data set, the proposed model achieves 92.5 % mAP detection accuracy with only 1.8M parameters, which is 28.3 % lower than the benchmark model YOLOv12n parameters. It provides an efficient solution for real-time and high-precision fire warning at the UAV side.
Key word：
YOLOv12
small target enhancement feature pyramid
lightweight detection
slope fire detection
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Region of interest guided variable-rate compression method for satellite remote sensing images

DOI：10.16157/j.issn.0258-7998.257032

Author：Xiao Fei，Sun Zhensheng，Jin Junjie

Author Affilications：China Satellite Network Digital Technology Co.， Ltd.

Abstract：With the increasing number of remote sensing satellites and higher imaging resolution, the data volume of remote sensing images has surged dramatically. Under limited transmission bandwidth, maintaining the reconstruction quality of target regions becomes a critical challenge. To address this issue, this paper proposes a region of interest (ROI)-guided variable-rate compression method for satellite remote sensing images. Firstly, an ROI-guided importance map module is designed, where a general object detection network is deployed at the front-end of the compression network to generate ROI masks. These masks dynamically guide bitrate allocation between ROIs and background regions. Secondly, a variable-rate compression strategy is developed to enable flexible bitrate control during satellite remote sensing image compression. Experimental results demonstrate that the proposed method outperforms traditional approaches in both subjective and objective evaluations. Notably it achieves comparable performance to existing image compression methods under low bitrate conditions.
Key word：
remote sensing image compression
deep learning
region of interest
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Integrated Circuits and Its Applications

Research on quality evaluation method of smart chip IP soft core

DOI：10.16157/j.issn.0258-7998.256805

Author：Chen Rong1，Chen Lan1，Li Kun2，Li Miao3，Wen Xiaoqian2，Lu Renjie1，Qin Zhaohui1，Wang Yali1

Author Affilications：1.Institute of Microelectronics of the Chinese Academy of Sciences；2.China Electronics Standardization Institute （CESI）；3.Information Science Academy of China Electronics Technology Group Corporation

Abstract：In response to the quality control challenges brought about by the widespread reuse of IP (Intellectual Property) soft cores, this article started from the existing quality evaluation of IP core delivery items, targeted the special needs of smart chips, and constructed a detailed and comprehensive IP soft core quality evaluation system, taking into account both subjective and objective quality. The mainstream neural network processor unit soft core was selected for empirical analysis and verification of the proposed evaluation strategy. The results showed that the evaluation system can effectively identify the advantages and disadvantages of IP soft cores, providing important reference for the design, optimization, delivery, and selection of smart chip IP soft cores.
Key word：
smart chip
intellectual property soft core
quality evaluation
integrated circuit
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Power-efficient mapping for multi-chiplet NoC using enhanced genetic algorithm

DOI：10.16157/j.issn.0258-7998.256828

Author：Pan Fuyue1，Yan Junqi2，Zheng Lihua1，Xu Xiaobin2

Author Affilications：1.No.58 Research Institute of China Electronics Technology Group Corporation；2.College of Mechanical and Electrical Engineering， Hohai University

Abstract：This paper addresses the power-efficient mapping problem in multi-chiplet Networks-on-Chip (NoC) by proposing an improved Adaptive Genetic Algorithm (AGA). By introducing permutation encoding, a partial-mapping crossover operator, an adaptive swap mutation strategy, and a hybrid selection mechanism, the algorithm effectively resolves issues such as constraint conflicts, local optima, and solution space explosion that exist in traditional genetic algorithms for NoC mapping. Experiments were conducted on a 36-node 2D-Mesh topology with randomly generated communication task graphs, comparing the performance of AGA, Ant Colony Optimization (ACO), and Grey Wolf Optimizer (GWO). The results demonstrate that AGA significantly outperforms other algorithms in communication energy optimization, reducing total power consumption by 32.0% and 26.2% compared to GWO and ACO, respectively. Additionally, AGA exhibits superior global search capability and convergence stability. This research provides an efficient optimization method for power-efficient NoC design.
Key word：
network-on-chip
power-efficient
genetic algorithm
optimal transmission path
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Research on data encryption method based on UltraScale architecture

DOI：10.16157/j.issn.0258-7998.256794

Author：Tang Liyang

Author Affilications：Southwest China Institute of Electronic Technology

Abstract：This article studies and proposes a data encryption method based on the UltraScale architecture for the protection of core functions and intellectual property rights of aviation communication airborne equipment, combined with the architectural characteristics of the UltraScale chip. This method jointly encrypts the DNA sequence numbers of UltraScale chips' PS and PL, as well as user-defined information, and designs a plaintext information verification format that uses offline encryption and online decryption to complete device encryption and decryption functions. The experimental results show that the design method proposed in this article is effective and feasible, the encryption and decryption functions of the device are normal, the security of the device is improved, and the user's intellectual property is effectively protected. At present, this technology has been applied in various types of aviation communication equipment and has strong practicality.
Key word：
UltraScale architecture
data encryption
DNA acquisition
key storage
encryption and decryption algorithm
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Simulation study on high-linearity GaN HEMT featuring graded-composition composite channel

DOI：10.16157/j.issn.0258-7998.256874

Author：Li Shiquan，Cai Likang，Lin Gang，Zhang Junyun

Author Affilications：Nanjing Institute of Electronic Devices

Abstract：This work proposes and simulates a high-linearity GaN HEMT device using Technology Computer Aided Design (TCAD). The device features a composite channel based on graded-composite AlGaN and InGaN layers. This composite channel forms a dual-channel distribution consisting of both a three-dimensional electron gas (3DEG) and a two-dimensional electron gas (2DEG). The device achieves a large gate voltage swing (GVS) of 4.1 V, which is 2.2 V higher than that of a conventional abrupt heterojunction HEMT. The peak value of the second derivative of transconductance is 56% lower than that of the conventional device, demonstrating superior suppression of third-order intermodulation distortion (IMD3). Furthermore, the impact of self-heating effects on device linearity is investigated. The proposed device structure holds promise for high-linearity applications.
Key word：
linearity
graded channel
gate voltage swing
GaN HEMT
transconductance
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Design of L-band dual channel high integration frequency conversion SiP Module

DOI：10.16157/j.issn.0258-7998.256892

Author：Du Zebao1，2，Kong Xiaoxue2，Wang Xiaoqing2，Zhang Shupeng2

Author Affilications：1.Tianjin 712 Communication & Broadcasting Co.， Ltd.；2.Beijing HUALONGTONG Science and Technology Co.， Ltd.

Abstract：In order to meet the requirements of system lightweighting, miniaturization, and integration, a highly integrated L-band dual channel frequency conversion System-in-Package (SiP) module has been implemented based on 3D stacking technology. The SiP module adopts a multi-layer organic composite substrate stack, integrating two frequency conversion channels, a frequency source, and a microcontroller. It is sealed with a ceramic tube shell and has a size of only 21 mm×16 mm×4.3 mm. The test results show that the module has a typical frequency conversion gain of 43.5 dB, a gain flatness of less than 0.7 dB, out of band spurious suppression greater than 60 dBc, and channel isolation greater than 50 dB, meeting the system′s usage requirements.
Key word：
3D stack
SiP module
frequency conversion
composite substrate
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Communication and Network

Research on spatiotemporal evolution and hierarchical dependencies of domain name system servers

DOI：10.16157/j.issn.0258-7998.256814

Author：Bao Zhengjing，Sun Che，Dong Wei，Liu Hong，Yan Xin，Zhang Haoyu，Liu Xiaohuan

Author Affilications：National Computer System Engineering Research Institute of China

Abstract：With the rapid development of the Internet and the widespread deployment of network infrastructure, the number of domain name servers (DNS) has continued to grow, accompanied by their expanding geographical scope. This expansion is characterized by imbalanced regional distribution, complex service hierarchies, and dynamic operational changes, which exacerbate security risks within the DNS ecosystem and create challenges for comprehensive oversight. To address these issues, this study establishes a large-scale DNS discovery system and conducts an in-depth analysis of the spatiotemporal evolutionary patterns and hierarchical dependencies among domain name servers. The findings reveal critical insights into the topological evolution of DNS infrastructure, offering actionable support for enhancing cybersecurity governance and optimizing the strategic deployment of next-generation digital infrastructure.
Key word：
DNS servers
hierarchical dependencies
spatiotemporal evolution
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Traffic scheduling method for time-sensitive networks in distributed power generation scenarios

DOI：10.16157/j.issn.0258-7998.256775

Author：Wu Haiyang1，Li Wei2，Li Jingwei2，Sha Zhou3，Lu Min2

Author Affilications：1.State Grid Jiangsu Electric Power Co.， Ltd.；2.State Grid Jiangsu Electric Power Co.， Ltd.， Nanjing Power Supply Company；3.China Electric Power Research Institute

Abstract：As power network control systems become more and more intelligent, the same switching device must support the mixed transmission of multiple streams in order to ensure system security and flexibility, and the current mixed-traffic transmission mechanism is still insufficient in scheduling success rate and scheduling speed when facing a large number of mixed streams. To this end, this paper proposes a BTCO hybrid traffic co-optimization framework based on a meta-heuristic approach to jointly optimize the scheduling order and transmission time to solve the hybrid traffic problem in TSNs. This research simulated and validated BTCO, and the results show that compared with existing constraint-based planning methods and heuristics, BTCO has a higher scheduling success rate, as well as faster scheduling speed, lower overall delay and jitter, and achieves efficient scheduling of hybrid flows.
Key word：
time-sensitive networks
time-aware shaping
cyclic queuing and forwarding
traffic scheduling
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Method for optimizing and improving communication petformance of distributed power service based on 5G NR-U

DOI：10.16157/j.issn.0258-7998.256776

Author：Jiang Chengling1，Lu Min2，Yang Linqing2，Shi Xiaowei3

Author Affilications：1.State Grid Jiangsu Electric Power Co.， Ltd.， Nanjing 210000， China；2.State Grid Jiangsu Electric Power Co.， Ltd.， Nanjing Power Supply Company；3.China Electric Power Research Institute

Abstract：With the extensive access of distributed power sources to the power grid, 5G licensed spectrum resources are becoming more and more scarce. It has become an important research hotspot to establish power radio network by using 5G new radio in unlicensed spectrum (5G NR-U) technology. There is still a great challenge of how to reasonably allocate the network resources in the electric power wireless private network. In this paper, the transmission mechanism of power terminals in 5G NR-U power private network is designed, and on this basis, the Dynamic Priority Resource Allocation Algorithm Based on Proximity Policy. Optimization,(DPRA-PPO) is proposed, which first calculates the dynamic priority for distributed power services, and then uses proximal policy optimization (PPO) algorithm to select subcarriers for distributed power services. Simulation results show that compared with three existing algorithms, including TTSA， Random， and DPRA-DQN， DPRA-PPO has excellent performance in optimizing both service transmission rate and transmission delay.
Key word：
distributed power
NR-U
near-end policy optimization
resource allocation
performance improvement
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Computer Technology

Histogram-guided adaptive fusion of bright and dark channel priors for single image dehazing

DOI：10.16157/j.issn.0258-7998.256538

Author：Li Xu，Mo Di，Deng Shanjing，Jiang Xianyang

Author Affilications：School of Physics and Technology， Wuhan University

Abstract：Suspended atmospheric particles significantly impair light scattering, leading to a noticeable decline in image quality captured by high-quality sensors, especially under hazy conditions. This paper introduces the Histogram-based Adaptive Hybrid Channel Prior (HAHCP) method to address this issue. By integrating parameters from the bright channel prior, HAHCP mitigates limitations of the dark channel prior, such as its ineffectiveness in sky regions and bright areas, and the low contrast in restored images. Additionally, optimized transmission estimation minimizes halo artifacts at object edges. Experimental results on the O-Haze dataset demonstrate that the proposed method outperforms traditional algorithms in restoration performance and image quality.
Key word：
image dehazing
bright channel prior
dark channel prior
histogram statistics
adaptive fusion
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Multi modal magnetic resonance image super-resolution reconstruction algorithm based on dual domain collaboration

DOI：10.16157/j.issn.0258-7998.256492

Author：Wang Lulu，Yang Yujie，Liu Siyi

Author Affilications：Faculty of Information Engineering and Automation， Kunming University of Science and Technology

Abstract：The images reconstructed from single image domains suffer from structural and non-local aliasing artefacts, and the multimodal super-resolution reconstruction network ignores irrational feature fusion due to modality-specific differences. To address this problem, a multimodal magnetic resonance image super-resolution reconstruction algorithm based on dual-domain synergy is proposed in this paper. By means of dual-domain synergy, local features in the image domain containing structural information and global features in the frequency domain containing frequency distributions are combined to eliminate the effects of misalignment relationships between different modalities. The deformable cross-modal attention module is designed to adaptively migrate the high-frequency complementary information in T1 modality to T2 modality; the implicit attention mechanism achieves the super-resolution reconstruction at arbitrary scales. The experimental results show that DDCMC has better visual quality than other single-domain reconstructed images.
Key word：
magnetic resonance imaging
super-resolution reconstruction
attention
dual-domain learning
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Die layout technique

DOI：10.16157/j.issn.0258-7998.256477

Author：Kong Yurong，Ma Xieli，Wu Yugang

Author Affilications：The 55th Research Institute of China Electronics Technology Group Corporation

Abstract：This paper utilizes the user programming interface(UPI) of L-edit,through the secondary development and function expansion of L-edit using C++,in the process of mask data preparation, die layout technique is quickly processed.Through the application of actual production,it has been proved that this technique can not only reduce the risk of manual arrangement and deletion of main graphics errors,it can also reduce the task of arranging the main graphics and improve the work efficiency.
Key word：
mask
mask data preparation
die
layout technique
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Aiming at VLIW DSP compiler defect and exception handling method

DOI：10.16157/j.issn.0258-7998.256429

Author：Wei Kai，Hong Ze

Author Affilications：The 58th Research Institute China Electronics Technology Group Corporation

Abstract：With the increasing parallelism requirements of high-performance processors, the disadvantages of VLIW compilers have gradually emerged. How to balance the correctness and performance of the code has become the primary goal. The VLIW compiler cannot use limited code information to deeply mine instruction parallelism, causing problems such as instruction resource conflicts. Therefore, a kernel-based exception handling scheme is proposed to improve the parallelism of instructions while ensuring the correctness of code execution. Taking the C6000 series DSP as an example, in view of the shortcomings of the C6000 compiler, a kernel exception handling scheme is developed to ensure the correctness of code optimization through kernel exception interrupts. Finally, through a typical case of C66x kernel resource conflict, the practicability of the exception handling solution is verified, providing a direction for VLIW architecture processor program optimization.
Key word：
VLIW
compiler
resource conflicts
C6000
exception handling
View(2156) pdf(63)

RF and Microwave

Study on a novel graphene-FSS composite electromagnetic metamaterial with single transparent and dual-absorptive-bands

DOI：10.16157/j.issn.0258-7998.256921

Author：Liu Boyuan，Wei Lihao，Zhang Haifu，Song Qinghui

Author Affilications：The 54th Research Institute of China Electronics Technology Group Corporation

Abstract：Graphene is a new kind of ultra-thin two-dimensional material, which has become a new hotspot in the field of electromagnetism because of its controllable electromagnetic properties. At the same time, frequency-selective surface (FSS) has always been a research hotspot in artificial periodic materials. In this paper, a composite electromagnetic metamaterial periodic structure with a graphene-FSS is proposed. The transmission band of the structure is 34.45 GHz~36.98 GHz (absolute bandwidth is 2.53 GHz). The absorption bands are 31.18 GHz~32.95 GHz (the absolute bandwidth is 1.77 GHz) and 38.17 GHz~39.52 GHz (the absolute bandwidth is 1.35 GHz), respectively. Based on the study, a single-layer graphene periodic structure without FSS part is fabricated and tested. It can be concluded that the grapheme periodic structure has good absorption characteristic in the whole measured microwave and millimeter wave frequency band (8 GHz~40 GHz). The composite electromagnetic metamaterial structure made of graphene and FSS structures is a good new candidate to realize a new metamaterial stealth radome.
Key word：
graphene
frequency-selective surface （FSS）
absorption characteristic
wave transparent characteristic
metamaterials
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A design of low-power portable broadband radio frequency signal detection pen

DOI：10.16157/j.issn.0258-7998.256975

Author：Jia Bo，Zhang Runlin

Author Affilications：China KEY SYSTEM & Integrated Circuit Co.， Ltd.

Abstract：This paper, prioritizing portability and low power consumption, innovatively proposes a pen-shaped portable RF signal detection pen for the first time. It aims to address the challenges of inspecting and repairing communication equipment in extreme environments such as high-cold, high-altitude, high-temperature, or high-latitude regions, where carrying conventional laboratory equipment is inconvenient, hazardous, and difficult to power. The proposed detection pen not only significantly reduces the burden of carrying complex detection instruments in harsh environments but also allows for the conservation of space and energy for carrying other essential items. Experimental tests demonstrate that the detection pen can effectively detect RF signals within the frequency range of 1~23 GHz and power range of -45 dBm to +3 dBm. The experimental results are consistent with the theoretical design, thereby validating the feasibility and efficiency of the proposed method.
Key word：
environment
portable
low-power
broadband detection
View(1558) pdf(42)

Radar and Navigation

OFDM radar signal recognition based on FCBF and AdaBoost algorithm

DOI：10.16157/j.issn.0258-7998.256673

Author：Guo Jian，Chen Hong

Author Affilications：No.58 Research Institute of China Electronics Technology Group Corporation

Abstract：In order to identify the OFDM radar signals of complex new systems, a united algorithm based on Fast Correlation-Based Filter Adaptive Boosting (FCBF-AdaBoost) and a radar signal identification method based on frequency domain analysis are constructed. After discretizing the frequency domain amplitude attribute set, the joint algorithm firstly filters and rejects the redundant and uncorrelated amplitude data of the input frequency domain data to form a frequency-domain subset after dimension reduction. Then, the data feature learning is carried out through the algorithm of weak classifier integration, and finally the model is trained through a large amount of radar data to realize the classification of the radar signals. The feasibility of the algorithm is verified by theoretical analysis. It is shown by simulation experiments at various SNR that the proposed algorithm can significantly improve the accuracy of OFDM radar signal recognition with the increase of SNR. The accuracy of recognition can reach more than 94%.
Key word：
OFDM radar signal recognition
fast correlation-based filter （FCBF）
weak classifier
adaptive boosting （AdaBoost）
frequency domain analysis
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Enhancing the detection capability of secondary radar for dense targets

DOI：10.16157/j.issn.0258-7998.256737

Author：Yang Jie，Lai Jiaqing

Author Affilications：Sichuan Jiuzhou Electric Group Co.， Ltd.

Abstract：Secondary radar systems primarily detect cooperative targets through an interrogation-response mechanism and are extensively applied in fields such as air traffic control. To address the issue of declining detection probability for dense targets in traditional secondary radar systems, this pager analyzes the mechanism by which random response delay enhances the detection probability for dense targets, formulates the underlying mathematical problems, and validates the findings through theoretical derivations, calculations, and Monte Carlo simulations. The results demonstrate that the random response delay technique can effectively improve the detection performance of secondary radar systems for dense targets. Furthermore, under the premise of meeting detection probability requirements, the number of detectable dense targets exhibits a linear step-like relationship with the number of response positions.
Key word：
secondary radar system
dense targets
random response delay
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Equivalence analysis of spaceborne SAR based on airborne experiments

DOI：10.16157/j.issn.0258-7998.256758

Author：Yu Chunhui，Zhang Shiwei，Liu Yuanlou，Xing Sirui，Xu Jing

Author Affilications：Chang Guang Satellite Technology Co.， Ltd.

Abstract：To address technical challenges in engineering verification of spaceborne Synthetic Aperture Radar (SAR) systems, this study designs a complete airborne experiment equivalence analysis scheme. Guided by SAR system similarity theory, the scheme establishes equivalence design principles, constructs an experimental framework covering flight platform configuration, radar parameter matching, and scenario design, and introduces an innovative multi-dimensional equivalence analysis method. By cross-validating measured data with theoretical designs, it enables effective inversion of spaceborne SAR performance indicators from airborne test results based on the Strip mode. Measured data show errors within 2% for 2D resolution, 6% for range beamwidth, and 1.06 dB for Noise Equivalent Sigma Zero (NESZ). The proposed approach provides a critical technical path for spaceborne SAR engineering verification. Airborne experiment equivalence analysis and index inversion reduce R&D risks significantly, offering practical guidance for advancing spaceborne SAR technology engineering applications.
Key word：
spaceborne synthetic aperture radar
airborne test platform
equivalence analysis
engineering verification
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Special Column

High Performance Computing

Analysis and Application of Marine Target Characteristics

FPGA and Artificial Intelligence

Key Radio Frequency Technologies in Radio Transceiver

Industrial Software and New Quality Productive Forces

5G-Advanced and 6G

High Speed Wired Communication Chip

Information Flow and Energy Flow in Industrial Digital Transformation

Special Antenna and Radio Frequency Front End

Radar Target Tracking Technology

Key Technologies of 5G-A and 6G

Key Technologies of 5G and Its Evolution

Key Technologies of 5G and Its Evolution

Processing and Application of Marine Target Characteristic Data

Smart Power

Antenna Technology and Its Applications

Smart Agriculture

5G-Advanced and 6G

5G Vertical Industry Application

Microelectronics in Medical and Healthcare

Key Technologies for 6G

Application of Edge Computing in IIoT

Deep Learning and Image Recognization

6G Microwave Millimeter-wave Technology

Radar Processing Technology and Evaluation

Space-Ground Integrated Technology

Industrial Ethernet Network

5G Vertical Industry Application

Innovation and Application of PKS System

FPGA and Artificial Intelligence

5G Network Construction and Optimization

RF and Microwave

Edge Computing

Network and Business Requirements for 6G

5G and Intelligent Transportation

5G R16 Core Network Evolution Technology

Satellite Nevigation Technology

5G R16 Evolution Technology

5G Wireless Network Evolution Technology

5G Network Planning Technology

5G Indoor Coverage Technology

5G MEC and Its Applications

5G Co-construction and Sharing Technology

Expert Forum

5G and Emergency Communication

5G Slicing Technology and Its Applications

Industrial Internet

5G Terminal Key Realization Technology

5G and Artificial Intelligence

5G and Internet of Vehicles

Terahertz Technology and Its Application

Signal and Information Processing

Artificial Intelligence

5G Communication

Internet of Things and the Industrial Big Data

Electronic Techniques of UAV System

Power Electronic Technology

Medical Electronics

Aerospace Electronic Technology

Robot and Industrial Automation

ADAS Technique and Its Implementation

Heterogeneous Computing

2016 IEEE International Conference on Integrated Circuits and Microsystems

ARINC859 Bus Technology

FC Network Technology

Measurement and Control Technology of Bus Network

GJB288A Bus

Key Techniques of 5G and Algorthm Implement

IEEE-1394 Bus

Signal Conditioning Technology of Sensors

AFDX Network Technology

Discrete Signal Processing

Energy-Efficient Computing

Motor control

2012 Altera Electronic Design Article Contest

WeChat shop

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