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Joint alignment and steering to manage interference

Digital Communications and Networks 2024年第2期10卷 429-438页

作者： Zhao Li Xiujuan Liang Yinghou Liu Jia Liu Zheng Yan School of Cyber Engineering Xidian UniversityXi'an710126China Technol.on Commun.Net.Lab. The 54th Research Inst.of China Elec.Technol.Group Corp.Shijiazhuang050081China School of Computer Science and Technology Xidian UniversityXi'an710126China The Department of Communications and Networking(Comnet) Aalto University02150EspooFinland

In wireless communication networks,mobile users in overlapping areas may experience severe interference,therefore,designing effective Interference Management(IM)methods is crucial to improving network ***,when managing multiple disturbances from the same source,it may not be feasible to use existing IM methods such as Interference Alignment(IA)and Interference Steering(IS)*** is because with IA,the aligned interference becomes indistinguishable at its desired Receiver(Rx)under the cost constraint of Degrees-of-Freedom(DoF),while with IS,more transmit power will be consumed in the direct and repeated application of IS to each *** remedy these deficiencies,Interference Alignment Steering(IAS)is proposed by incorporating IA and IS and exploiting their advantages in *** IAS,the interfering Transmitter(Tx)first aligns one interference incurred by the transmission of one data stream to a one-dimensional subspace orthogonal to the desired transmission at the interfered Rx,and then the remaining interferences are treated as a whole and steered to the same subspace as the aligned ***,two improved versions of IAS,i.e.,IAS with Full Adjustment at the Interfering Tx(IAS-FAIT)and Interference Steering and Alignment(ISA),are *** former considers the influence of IA on the interfering user-pair's *** orthogonality between the desired signals at the interfered Rx can be maintained by adjusting the spatial characteristics of all interferences and the aligned interference components,thus ensuring the Spectral Efficiency(SE)of the interfering communication *** ISA,the power cost for IS at the interfered Tx is minimized,hence improving SE performance of the interfered *** the proposed methods are realized at the interfering and interfered Txs cooperatively,the expenses of IM are shared by both *** in-depth simulation results show that joint use of IA and

关键词： Interference Interference management Interference alignment Interference steering Spectral efficiency

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A Lightening Fine-grained Access Control Scheme Supporting Full Policy Hiding in Cloud Storage 29

A Lightening Fine-grained Access Control Scheme Supporting F...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Shi, Jiaoli Hu, Chao Yao, Shimao Mei, Zhuolin Wu, Bin Li, Hui Jiujiang Univ. School of Computer and Big Data Jiujiang China Jiangxi Univ. of Finance and Economics School of Software IoT Engineering Nanchang China Jiujiang Key Lab. of Network and Information Security Jiujiang China Jiujiang University School of Computer and Big Data Jiujiang China Peking University School of Elec. and Comp. Engineering Shenzhen China

ISBN: (纸本)9798350330717

Efficiency, security, and flexibility are difficult to balance in a full policy hiding CP-ABE scheme. This paper creatively converts the privacy matching problem of access policy and a user's private key to the privacy three-party set computation problem. Then the new privacy set computation problem is resolved by a message driven key generation method. Additionally, the ROBDD (Reduced Ordered Binary Decision Diagrams) is utilized to rich access structure expression and convert access policies into feasible path sets. Each feasible path is composed of attributes and these attributes are bound to the ciphertext using CP-ABE. Based on the innovative ideas mentioned above, we present a Lighten Fine-grained Access Control scheme supporting Full Policy Hidden (LFAC-FPH) that integrates data confidentiality protection, access policy rich expression but complete hiding, fine-grained access control, and lightweight terminal computing. Our scheme has three advantages: 1) High Efficiency. The proposed scheme can achieve fast privacy matching of access policies during user decryption. 2) Full Policy Hiding. The access policy bound by an owner on the ciphertext does not leak any information. Moreover, a user cannot know attributes they do not own. 3) High Flexibility. The decryption process does not require online from owners or KGC, and system attributes can be added at any time. © 2023 IEEE.

关键词： CP-ABE full policy hiding lighten computation Private-Preserving

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Geometric-Aware Facial Landmark Emotion Recognition 6

Geometric-Aware Facial Landmark Emotion Recognition

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6th International Conference on Software engineering and computer science, CSECS 2023

作者： Zhang, Qixuan Wang, Zhifeng Liu, Yang Qin, Zhenyue Zhang, Kaihao Gedeon, Tom College of Engineering and Computer Science Australian National University CanberraACT Australia School of Elec Eng Comp and Math Sci Curtin University PerthWA Australia

ISBN: (纸本)9798350306378

Emotion recognition is crucial for enhancing human-computer interaction. While traditional approaches largely depend on RGB images, our proposed Geometric-Aware Facial Landmark Emotion Recognition framework harnesses the geometric and spectral attributes of facial landmarks for emotion recognition. This work unfolds three key contributions: utilizing Graph Convolutional Networks to grasp the natural spatial relationships among facial landmarks, introducing distance-aware graph operations to accentuate the relational geometry, and employing spectral encodings to comprehend the frequency-based attributes of landmark positions. Through rigorous experiments on recognized datasets RAF-DB and KDEF, Our method surpasses baseline methods, demonstrating its effectiveness especially in high-resolution scenarios where detailed facial landmarks are apparent. The datasets curated for Facial Landmark Emotion Recognition will also be shared publicly as part of this work, offering a significant resource for the community. The encouraging results highlight the potential of geometric-aware analysis in propelling emotion recognition systems forward, opening avenues for further research in this evolving domain. © 2023 IEEE.

关键词： Emotion Recognition

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SCIM: Incorporating secure communication and interference management in one operation

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Digital Communications and Networks 2023年第2期9卷 512-522页

作者： Zhao Li Pintian Lyu Jun Li Zhixian Chang Jia Liu Zheng Yan School of Cyber Engineering Xidian UniversityXi'an710126China Technol.on Commun.Net.Lab The 54th Research Inst.of China Elec.Technol.Group CorpShijiazhuang050081China School of Telecommun.and Inf.Engineering Xi'an University of Posts&TelecommunXi'an710071China School of Computer Science and Technology Xidian UniversityXi'an710126China The Department of Comnet Aalto UniversityEspoo02150Finland

Due to the broadcast nature of wireless communications,users’data transmitted wirelessly is susceptible to security/privacy ***,as a result of the limitation of spectrum resources,massive wireless connections will incur serious interference,which may damage the efficiency of data ***,improving both efficiency and secrecy of data transmission is of research *** this paper,we propose a wireless transmission scheme by taking both Secure Communication(SC)and Interference Management(IM)into account,namely *** this scheme,an SCIM signal is generated by the legitimate transmitter(Tx)and sent along with the desired signal,so that the SCIM signal can interact with and suppress the environmental interference at the legitimate receiver(Rx).Meanwhile,the SCIM signal may interfere with the eavesdropper in the coverage of legitimate transmission so as to deteriorate the eavesdropping ***,the secrecy of desired transmission is *** this way,both the transmission efficiency and privacy are ***,by taking various transmission preferences into account,we develop different implementations of SCIM,including Interference Suppression First SCIM(ISF-SCIM),Data Transmission First SCIM(DTF-SCIM),Anti-Eavesdropping First SCIM(AEF-SCIM),and Secrecy Rate Maximization SCIM(SRM-SCIM).Our in-depth simulation results have shown the proposed methods to effectively improve the efficiency and secrecy of the legitimate transmission.

关键词： Physical-layer security Secure communication Anti-eavesdropping Interference management Secrecy rate

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HRPE-Enhanced AI-Based 5G Indoor Localization in Presence of Specular and Dense Multipaths

HRPE-Enhanced AI-Based 5G Indoor Localization in Presence of...

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European Conference on Antennas and Propagation, EuCAP

作者： Yuchen Shi Xiaoxiao Yang Yuying Sun José Rodríguez-Piñeiro Xueming Hong Tomás Domínguez-Bolaño Xuefeng Yin College of Electronics and Information Engineering Tongji University Shanghai China School of Elec. Science and Engineering Xiamen University China School of Informatics Xiamen University China CITIC Research Center & Department of Computer Engineering University of A Coruña Spain

Fifth generation (5G) communication systems are expected to provide an ubiquitous solution for indoor positioning, and deep neural networks (DNNs) have been recently proposed for this purpose. However, DNN-based positioning solutions are in general very dependent on the training data. In this paper, an architecture for positioning based on wireless signals is proposed, namely the SAGE-Enhanced CEAP (SE-CEAP). The architecture considers firstly an enhancement of the acquired Channel State Information (CSI) data by means of a high-resolution parameter estimation (HRPE) method, namely the space-alternating generalized-expectation maximization (SAGE) algorithm, and secondly a specifically designed DNN for localization, namely the CNN-Enblock AI Positioning (CEAP). The provided results, considering a realistic 5G New Radio (NR) deployment in an indoor scenario, show that the proposed architecture outperforms other classical DNN-based localization approaches, not only in localization accuracy, but also in generalizability of the results, which is a common drawback of DNN-based solutions.

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Edge Computing-based Intelligent Garbage Classification and Recognition Application 4

Edge Computing-based Intelligent Garbage Classification and ...

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4th International Conference on computers and Artificial Intelligence Technology, CAIT 2023

作者： Yu, Liang Mo, Fu Lai, Yangbing Tian, Liwei Guangdong University of Science and Technology College of Computer Science and AIoT Edge Computing Engineering Technology Research Center of Dongguan City DongGuan China Guangdong University of Science and Technology Coll. of Mech. and Elec. Eng. and Intelligent Mfg. and Environ. Monitoring Engineering Technology Research Center of Dongguan City DongGuan China

ISBN: (纸本)9798350326710

As the standard of living improves, there is a corresponding increase in the variety of materials, leading to a rise in household garbage. Dealing with the challenge of classifying numerous types of garbage can be a daunting task. The accuracy of waste separation cannot be effectively improved solely by relying on individuals' common sense perception, knowledge propaganda, and training. A more comprehensive and efficient approach is needed. This paper proposes an intelligent waste classification and recognition application based on edge computing to address the aforementioned issues. The edge mobile intelligent waste classification and recognition application utilizes a small-sample lightweight machine learning model for training compressed quantization on the Edge Impulse Platform (EI). The application is built using the MobileNetV2 model and migration learning theory. When a user scans a trash image by running the application through a mobile edge device, the tiny machine learning model is invoked to perform edge computation and identify the class of trash. System testing on the EI platform and field applications demonstrates that the average response time for intelligent waste classification and recognition is 0.66 seconds. Additionally, the average inference time is less than 5 milliseconds, and the application achieves an average recognition accuracy of 97% or higher. This intelligent waste classification and recognition system exhibits excellent overall performance and offers great convenience for individuals in their daily waste classification tasks. © 2023 IEEE.

关键词： Edge computing

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Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT

arXiv

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arXiv 2025年

作者： Shah, Syed Sarmad Ali, Anas School of Elec. Eng. and Com. Sci National University of Science and Technology Islamabad Pakistan Dept. of Computer Science National University of Modern Langauges Lahore Pakistan

Fog computing significantly enhances the efficiency of IoT applications by providing computation, storage, and networking resources at the edge of the network. In this paper, we propose a federated fog computing framework designed to optimize resource management, minimize latency, and reduce energy consumption across distributed IoT environments. Our framework incorporates predictive scheduling, energy-aware resource allocation, and adaptive mobility management strategies. Experimental results obtained from extensive simulations using the OMNeT++ environment demonstrate that our federated approach outperforms traditional non-federated architectures in terms of resource utilization, latency, energy efficiency, task execution time, and scalability. These findings underline the suitability and effectiveness of the proposed framework for supporting sustainable and high-performance IoT services. © 2025, CC BY.

关键词： Fog computing

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A Lightweight and Efficient Scheme for e-Health Care System using Blockchain Technology 6

A Lightweight and Efficient Scheme for e-Health Care System ...

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6th International Conference on Information Systems and computer Networks, ISCON 2023

作者： Saxena, Sandeep Arya, Namita Bharti, Sunil Kumar Dwivedi, Vimal Gniot Dept. of Cse Greater Noida India Galgotias University Dept. of Cse Greater Noida India Gcet Dept. of It Greater Noida India Institute of Computer Science University of Taru Estonia School of Elec. Elect. Engg. and Computer Science Queens University Northern Ireland Belfast United Kingdom

ISBN: (纸本)9798350346961

We are witnessed to the huge amount of health care information is processed via Internet and uploaded to the servers. Hence, the network content suffers from various challenges in handling this wide range of information such as privacy-preservation, message requests, and sharing of information with the entities. Protection of health care information with less communication overhead and avoid signaling congestion among entities is the biggest concern. We suggest a simple and effective blockchain-based system for e-health care in order to address these problems. We attempt to show the collective trust between receiver/ users and key generation center (KGC). Due to the characteristics such as tamper-resistant of transactions and responsiveness, the blockchain technology maintains the data access policy and privacy of each receiver/ users. In addition, we provide the public transactions apparently with the help of miners. Also, the performance analysis shows that the protocol is free from all the security attacks and avoid the signaling congestion with less overhead.. © 2023 IEEE.

关键词： Blockchain

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ATADA: Adaptive Time Aware Anomaly Detection Approach for Real-Time Intelligent Transportation Systems

ATADA: Adaptive Time Aware Anomaly Detection Approach for Re...

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IEEE International Conference on Big Data

作者： Ke Zhang Hengchang Liu Siobhán Clarke School of Computer Science and Statistics Trinity College Dublin Dublin Ireland School of Computer Science Univ. of Elec. Sci. & Tech. of China Chengdu China

Accurately detecting passenger traffic flow in public transportation, e.g., for the purpose of identifying congested stations, and detecting anomalies in that flow, are both important for enhancing passenger satisfaction and safety. However, current methods for traffic flow detection and prediction train their models in offline modes using potentially outdated data, which can’t be refreshed with new data. In this paper, we introduce a two-step, continuously updating framework aimed at real-time prediction of anomalies within transportation networks, which we name Adaptive Time-Aware Anomaly Detection Approach (ATADA). Specifically, the first step filters out regular traffic patterns and balances the data set, while the second step employs a sequence-to-sequence attention model, a type of deep learning model, to further detect the traffic anomalies. We propose a dynamic online time-aware learning mechanism which enables our models to continuously train on incoming data and to adapt predictive strategies based on the most recent traffic patterns. The proposed method is validated using real subway AFC data from Suzhou, China and Hangzhou, China. Experimental results demonstrate that our framework significantly improves efficiency while maintaining high accuracy in real-time traffic anomaly detection.

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Autonomous Drone Landing on a Moving Naval Base using Vision-Based Robot Control

Autonomous Drone Landing on a Moving Naval Base using Vision...

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2023 International Conference on elec.rical, computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Subamanian, Senthil Pon Vignesh Subramanian, Suvetha Meenaa Muthiah, Padmapriya Shajahan, Jalaluddin Mohd Ansari Saveetha University Simats School of Engineering Dept. of Elec. and Comm. Engg. Chennai India City University of New York City College of New York Dept. of Computer Science New York United States Monroe College King Graduate School Dept. of Computer Science New York United States City University of New York City College of New York Dept. of Electrical Engineering New York United States

ISBN: (纸本)9798350322972

This paper proposes a novel technique of an Autonomous Drone landing on top of a moving Naval Vessel Base using Vision-Based Robot Control. To achieve an effective landing a camera is fixed under the drone which captures the images and detects the movement of the landing base. The landing base on top of the vessel is specially designed with a nested tag which is scanned by the fixed camera on the drone from a high altitude. This nested tag is a fiducial marker that is used by the imaging system of the drone as a point of reference in the Naval Vessel Base for precise landing. The controller is designed in the image coordinate frame captured by the imaging system on the drone with the help of the Jacobian Matrix. Whether the vessel remains stationary or moving, it always trembles, especially, when a vessel experiences bad weather at sea, it will be quite challenging for the drone to land on the trembling Naval Vessel Base. These unexpected movements cause the landing tag to disorient from the horizontal view of the captured frames, which makes it difficult to obtain the expected mid-point of the tag. To overcome this complication the translational and rotational motions of the drone are decoupled from the camera using the Virtual Camera Method where the mid-point of the tag is set as the feature point which helps to obtain the expected position during the horizontal plane disorientation of the tag image captured by the camera from the drone. Additionally, Kalman Filter is employed in the imaging system to reduce the observation noise so that precise estimation of the feature point can be achieved. © 2023 IEEE.

关键词： Cameras

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