2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第2页

Semantic Integrity Measurement of Industrial Control Embedded Devices Based on National Secret Algorithm 基于国家秘密算法的工业控制嵌入式设备语义完整性测量

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233798

Xiao Zhang, Longyun Qi, Xiaolei Ma, Wei Liu, Lianwen Sun, Xiang Li, Binbin Duan, Siyuan Zhang, Xin Che

{"title":"Semantic Integrity Measurement of Industrial Control Embedded Devices Based on National Secret Algorithm","authors":"Xiao Zhang, Longyun Qi, Xiaolei Ma, Wei Liu, Lianwen Sun, Xiang Li, Binbin Duan, Siyuan Zhang, Xin Che","doi":"10.1109/ICCCWorkshops57813.2023.10233798","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233798","url":null,"abstract":"In the age of 6G and AI, industrial control embedded devices can understand and follow instructions automatically. The key is to properly understand the meaning of tasks rather than just focusing on tiny details. Semantic communication will be widely used in industries. These industrial control embedded devices are crucial for controlling and monitoring industrial processes and any tampering with them could lead to disastrous consequences. Thus, it becomes increasingly important to protect the integrity of these devices semantically. However, existing research in this field either focuses on specific devices or fails to utilize national secret algorithms. To address this issue, we propose an algorithm to measure the semantic integrity of key files that are essential for system startup and control programs based on national secret algorithms. The proposed algorithm uses a unique encryption method to protect key files from unauthorized access and tampering. To validate the effectiveness and applicability of the proposed algorithm, extensive tests were conducted. The test results show that the proposed algorithm is fast and efficient, making it suitable for measuring the integrity of industrial control devices. The development of this algorithm is a significant step towards securing industrial control devices.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131033051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A GNSS Positioning Algorithm Assisted by LSTM Neural Network and EKF 基于LSTM神经网络和EKF的GNSS定位算法

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233728

Jin Wang, Doudou Tang, Shaoqing Lv, Pengwu Wan, Xiyi Dong

{"title":"A GNSS Positioning Algorithm Assisted by LSTM Neural Network and EKF","authors":"Jin Wang, Doudou Tang, Shaoqing Lv, Pengwu Wan, Xiyi Dong","doi":"10.1109/ICCCWorkshops57813.2023.10233728","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233728","url":null,"abstract":"In Global Navigation Satellite System (GNSS) positioning, the Kalman filter algorithm can effectively utilize the dynamic model characteristics and observation data of the mobile carrier to estimate the dynamic characteristics of the mobile carrier. However, due to the constantly changing motion state of the carrier, there is a mismatch between the preset dynamic model and the actual motion model, resulting in some deviation between the model and the real motion state. To address this issue, this paper proposes a GNSS positioning algorithm based on a Long Short-Term Memory (LSTM) neural network-assisted Extended Kalman Filter (EKF). The LSTM neural network tracks and learns the change in dynamic model error in the Kalman filter. The predicted error is used to correct the Kalman filter in order to improve its performance and achieve higher positioning accuracy. Simulation results show that compared with the algorithm using only the Kalman filter for positioning, the proposed algorithm improves the accuracy of the x, y and z directions by 48%, 13% and 34% respectively. In addition, the positioning results are more stable, having effectively suppressed the error divergence caused by the Kalman filter and significantly improved the positioning accuracy.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130835454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning-Assisted Target Classification Using OTFS Signaling 基于OTFS信令的深度学习辅助目标分类

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233827

Ziyu Yan, Long Tan, Xiaoqi Zhang, Kecheng Zhang, Ruoyu Zhou

引用次数: 0

A Review of Mission Critical Service over Proximity based Service 基于邻近服务的关键任务服务综述

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233815

Zhe Zhou, Mingxue Li, Biao Long

引用次数: 0

Downlink HMIMO Beamforming for Maximizing the Weighted Geometric Mean of SE 最大化SE加权几何均值的下行HMIMO波束形成

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233808

Jiading He, Long Zhao, Yanning Cui, Pengzun Gao

引用次数: 0

Survey on Dynamic Routing Networking Methods in Integrated Satellite-Terrestrial Network 星地一体化网络中动态路由组网方法研究

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233772

Heng Wang, Jianxiu Wang, Wen Qi, Chengli Mei, Xu Xia

引用次数: 0

A Raptor Code Based Unsourced Random Access with Coordinated Tree-Raptor Decoding Algorithm 基于Raptor代码的无源随机访问与协调树-Raptor解码算法

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233821

Dexia Jiang, Pingzhi Fan

引用次数: 0

Low Complexity 2D Off-Grid OTFS Channel Estimation in Fractional Delay-Doppler Scenarios 分数延迟-多普勒场景下低复杂度2D离网OTFS信道估计

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233767

Xiangjun Li, Xiaolin He, Y. Liang, Qianli Wang

{"title":"Low Complexity 2D Off-Grid OTFS Channel Estimation in Fractional Delay-Doppler Scenarios","authors":"Xiangjun Li, Xiaolin He, Y. Liang, Qianli Wang","doi":"10.1109/ICCCWorkshops57813.2023.10233767","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233767","url":null,"abstract":"In high-mobility wireless communication scenarios, orthogonal time-frequency space (OTFS) is a promising two-dimensional (2D) modulation scheme that can efficiently represent the delay-Doppler (DD) domain channel using only a few parameters. However, fractional delay and/or fractional Doppler reduce the channel’s sparsity, thus increasing the difficulty in channel estimation. Off-grid methods are previously utilized to estimate the fractional delay-Doppler channels, based on the expectation-maximization sparse Bayesian learning (EMSBL). However, these methods require matrix inversion in each iteration which results in significant computational complexity. To reduce the complexity, this paper proposes a low-complexity off-grid channel estimation scheme by employing a recently introduced efficient sparse Bayesian learning (ESBL). Additionally, a strategy for updating the off-grid parameters is adopted, further reducing the complexity of off-grid channel estimation. Simulation results demonstrate the effectiveness of the proposed method in comparison to existing channel estimation schemes in the doubly fractional scenarios, at a slight tolerable loss in channel estimation performance.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133314911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Probabilistic Computation Offloading Strategy for Vehicle-to-Everything Networks 车对物网络的概率计算卸载策略

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233805

Fan Jiang, Weiping Bai, Lei Liu, Chaowei Wang

{"title":"A Probabilistic Computation Offloading Strategy for Vehicle-to-Everything Networks","authors":"Fan Jiang, Weiping Bai, Lei Liu, Chaowei Wang","doi":"10.1109/ICCCWorkshops57813.2023.10233805","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233805","url":null,"abstract":"Vehicle-to-everything (V2X) is regarded as a fundamental service offered by the studied B5G/6G wireless technology. However, data traffic services provided in V2X networks requires computation capabilities, presenting a tremendous challenge in ensuring excellent user experience. To address this demanding task, computation offloading emerges as an effective solution. In this paper, we propose a probabilistic computation offloading strategy for V2X networks. Specifically, in order to minimize the total network delay, we first investigate the characteristics of task types and then categorize them into different groups. In particular, a priority-based M/M/1 queueing model is designed to simulate the transmission and computation process for offloading various tasks, where a probabilistic offloading problem is then established to minimize the average response delay. Finally, the task’s optimal offloading probability problem is solved based on the sub-gradient search (SGS) algorithm. Simulation results demonstrate that by taking task characteristics and priorities into account, the constructed model can obtain the optimal offloading probability and also satisfy the requirement of low latency service.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134456972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-order Time Shift Keying Modulation and Detection for Ambient Backscatter Communications 环境后向散射通信的高阶时移键控调制与检测

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2023-08-10 DOI: 10.1109/ICCCWorkshops57813.2023.10233725

Jixiang Chen, Hua Yu, Q. Guan, Weiqi Chen

{"title":"High-order Time Shift Keying Modulation and Detection for Ambient Backscatter Communications","authors":"Jixiang Chen, Hua Yu, Q. Guan, Weiqi Chen","doi":"10.1109/ICCCWorkshops57813.2023.10233725","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233725","url":null,"abstract":"Ambient backscatter communication (AmBC) is a newly cutting-edge technology for Internet of Things, which utilizes the ambient radio frequency signal as the carrier to transmit information. Existing works focus on the simple on-off keying modulation which has low channel utilization. However, it is not desirable to develop high-order modulation in the power domain due to the weak strength of the backscatter signal. In this paper, we extend the high-order modulation in the time domain instead, i.e., high-order time shift keying (TSK). We study the performance of the high-order TSK modulation for AmBC for both the complex Gaussian (CG) source signals and M-ary phase shifting keying (MPSK) source signals. The maximum likelihood detector and energy detectors are developed. Particularly, when the training symbols are sent, a better bit-error-rate (BER) performance can be achieved in some cases. When the training symbols are not sent, the receiver can also decode backscattered symbols effectively. Simulation results show that large modulation order is suitable for the MPSK source across all bit signal-to-noise ratio (b-SNR) while is only in the low b-SNR region for the CG source.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"34 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116593691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1