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Resource Allocation for Emergency Communications in Distribution network Satellite Communication System

China Communications 2025年第2期22卷 95-111页

作者： Xie Haoran Zhan Yafeng Fang Xin Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China State Key Laboratory of Space Network and Communications Tsinghua UniversityBeijing 100084China State Grid Jiangsu Electric Power Co. Ltd.Research InstituteNanjing 210000Jiangsu ProvinceChina

Frequent extreme disasters have led to frequent large-scale power outages in recent *** quickly restore power,it is necessary to understand the damage information of the distribution network ***,the public network communication system is easily damaged after disasters,causing the operation center to lose control of the distribution *** this paper,we considered using satellites to transmit the distribution network data and focus on the resource scheduling problem of the satellite emergency communication system for the distribution ***,this paper first formulates the satellite beam-pointing problem and the accesschannel joint resource allocation ***,this paper proposes the Priority-based Beam-pointing and Access-Channel joint optimization algorithm(PBAC),which uses convex optimization theory to solve the satellite beam pointing problem,and adopts the block coordinate descent method,Lagrangian dual method,and a greedy algorithm to solve the access-channel joint resource allocation problem,thereby obtaining the optimal resource scheduling scheme for the satellite ***,this paper conducts comparative experiments with existing methods to verify the effec-tiveness of the proposed *** results show that the total weighted transmitted data of the proposed algorithm is increased by about 19.29∼26.29%compared with other algorithms.

关键词： distribution network emergency communication resource scheduling satellite communication

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Robust Design of Aerial Reconfigurable Intelligent Surface-Enabled URLLC Systems with Hardware Impairments

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IEEE Transactions on Vehicular technology 2025年

作者： Chen, Yongzhi Song, Xiaoyang Wu, Hong Zhao, Yingxin Liu, Zhiyang College of Electronic Information and Optical Engineering Nankai University Tianjin300350 China Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Tianjin300350 China Changguang Jizhi Optics Technology Co. Ltd. Jilin Province Changchun China

Ultra-Reliable Low-Latency Communication (URLLC) has imposed significant challenges on the Internet of Things (IoT) networks due to its stringent Quality of Service (QoS) requirements, especially in practical scenarios with unfavorable propagation environments and non-ideal hardware. As a promising technology in future communication systems, reconfigurable intelligent surface (RIS) has been expected to improve the system performance by reconfiguring the propagation environment. In this paper, we investigate a practical aerial RIS-assisted URLLC system in the presence of transceiver hardware impairments where the RIS is mounted on an unmanned aerial vehicle (UAV). We aim to maximize the weighted sum spectral efficiency (WSSE) by jointly optimizing the transmit power, the passive beamforming, and the UAV's location. As the primal problem is non-convex with coupled variables, the problem is first reformulated by using fractional programming (FP), and decomposed to subproblems with decoupled variables. An alternative optimization (AO) algorithm is then proposed to jointly optimize the passive beamforming, the position of UAV, and transmit power at the IoT devices. Simulation results verify that the proposed robust design can significantly improve the WSSE performance compared to the conventional non-robust scheme. And we reveal hardware impairments at the IoT devices have more impact on WSSE than the control center (CC). © 2025 IEEE.

关键词： Resource allocation

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Weak Current sensor Based on Tunneling Magnetoresistive Effect for Complex Power Conditions 19th

Weak Current Sensor Based on Tunneling Magnetoresistive Effe...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Shi, Shuhui Liang, Xianfeng Guan, Mengmeng Ju, Dengfeng Zhang, Ming Guo, Jinghong Hu, Zhongqiang Liu, Ming State Key Laboratory for Manufacturing Systems Engineering Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education Engineering Research Center of Spin Quantum Sensor Chips Universities of Shaanxi Province School of Electronic Science and Engineering Xi’an Jiaotong University Xi’an China Institute of Electric Power Sensing Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing China State Grid Jiangsu Electric Power Co. Ltd. Nanjing Power Supply Branch Nanjing China

ISBN: (纸本)9789819613861

Weak current sensors are crucial for monitoring the insulation status and leakage prediction of power cables and equipment, playing a significant role in the construction of a visible, measurable, and controllable new power system. Conventional weak current sensors based on current transformers and fluxgate technologies exhibit issues such as large size and narrow frequency band. Tunneling magnetoresistive (TMR) chip-based sensor offers promising alternative, while it still struggles with low accuracy and poor anti-interference capability under complex power conditions. In this paper, we propose a non-invasive, high-precision, low-drift weak current sensor with mA-level resolution utilizing dual TMR symmetric structure to suppress the interference. When placed within a shielding box, it demonstrates a good linearity within the measurement range of ±300 mA, with an error of © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Current sensor Differential measurement Shielding Smart grid Smart sensing Tunnel magnetoresistance

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SpecLFB: eliminating cache side channels in speculative executions 24

SpecLFB: eliminating cache side channels in speculative exec...

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Proceedings of the 33rd USENIX Conference on Security Symposium

作者： Xiaoyu Cheng Fei Tong Hongyu Wang Zhe Zhou Fang Jiang Yuxing Mao School of Cyber Science and Engineering Southeast University Nanjing Jiangsu China and Jiangsu Province Engineering Research Center of Security for Ubiquitous Network China School of Cyber Science and Engineering Southeast University Nanjing Jiangsu China and Jiangsu Province Engineering Research Center of Security for Ubiquitous Network China and Purple Mountain Laboratories Nanjing Jiangsu China State Key Laboratory of Power Equipment Technology School of Electrical Engineering Chongqing University China and Wiscom System Co. LTD Nanjing China Wiscom System Co. LTD Nanjing China

ISBN: (纸本)9781939133441

Cache side-channel attacks based on speculative executions are powerful and difficult to mitigate. Existing hardware defense schemes often require additional hardware data structures, data movement operations and/or complex logical computations, resulting in excessive overhead of both processor performance and hardware resources. To this end, this paper proposes SpecLFB, which utilizes the microarchitecture component, Line-Fill-Buffer, integrated with a proposed mechanism for load security check to prevent the establishment of cache side channels in speculative executions. To ensure the correctness and immediacy of load security check, a structure called ROB unsafe mask is designed for SpecLFB to track instruction state. To further reduce processor performance overhead, SpecLFB narrows down the protection scope of unsafe speculative loads and determines the time at which they can be deprotected as early as possible. SpecLFB has been implemented in the open-source RISC-V core, SonicBOOM, as well as in Gem5. For the enhanced SonicBOOM, its register-transfer-level (RTL) code is generated, and an FPGA hardware prototype burned with the core and running a Linux-kernel-based operating system is developed. Based on the evaluations in terms of security guarantee, performance overhead, and hardware resource overhead through RTL simulation, FPGA prototype experiment, and Gem5 simulation, it shows that SpecLFB effectively defends against attacks. It leads to a hardware resource overhead of only 0.6% and the performance overhead of only 1.85% and 3.20% in the FPGA prototype experiment and Gem5 simulation, respectively.

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CIBPU: A Conflict-Invisible Secure Branch Prediction Unit

arXiv

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arXiv 2025年

作者： Zhou, Zhe Tong, Fei Wang, Hongyu Cheng, Xiaoyu Jiang, Fang Zhang, Zhikun Mao, Yuxing School of Cyber Science and Engineering Southeast University Jiangsu Nanjing China Purple Mountain Laboratories Jiangsu Nanjing China Jiangsu Province Engineering Research Center of Security for Ubiquitous Network China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University China Wiscom System Co. LTD China Stanford University United States

Previous schemes for designing secure branch prediction unit (SBPU) based on physical isolation can only offer limited security and significantly affect BPU’s prediction capability, leading to prominent performance degradation. Moreover, encryption-based SBPU schemes based on periodic key re-randomization have the risk of being compromised by advanced attack algorithms, and the performance overhead is also considerable. To this end, this paper proposes a conflict-invisible SBPU (CIBPU). CIBPU employs redundant storage design, load-aware indexing, and replacement design, as well as an encryption mechanism without requiring periodic key updates, to prevent attackers’ perception of branch conflicts. We provide a thorough security analysis, which shows that CIBPU achieves strong security throughout the BPU’s lifecycle. We implement CIBPU in a RISC-V core model in gem5. The experimental results show that CIBPU causes an average performance overhead of only 1.12%–2.20% with acceptable hardware storage overhead, which is the lowest among the state-of-the-art SBPU schemes. CIBPU has also been implemented in the open-source RISC-V core, SonicBOOM, which is then burned onto an FPGA board. The evaluation based on the board shows an average performance degradation of 2.01%, which is approximately consistent with the result obtained in gem5. © 2025, CC BY.

关键词： Integrated circuit design

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A Multi-dimensional Index Structure Based on Improved VA-file and CAN in the Cloud

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International Journal of Automation and computing 2014年第1期11卷 109-117页

作者： Chun-Ling Cheng Chun-Ju Sun Xiao-Long Xu Deng-Yin Zhang College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsMinistry of Education Jiangsu Province

Currently,the cloud computing systems use simple key-value data processing,which cannot support similarity search efectively due to lack of efcient index structures,and with the increase of dimensionality,the existing tree-like index structures could lead to the problem of"the curse of dimensionality".In this paper,a novel VF-CAN indexing scheme is ***-CAN integrates content addressable network(CAN)based routing protocol and the improved vector approximation fle(VA-fle) *** are two index levels in this scheme:global index and local *** local index VAK-fle is built for the data in each storage ***-fle is thek-means clustering result of VA-fle approximation vectors according to their degree of *** cluster forms a separate local index fle and each fle stores the approximate vectors that are contained in the *** vector of each cluster center is stored in the cluster center information fle of corresponding storage *** the global index,storage nodes are organized into an overlay network CAN,and in order to reduce the cost of calculation,only clustering information of local index is issued to the entire overlay network through the CAN *** experimental results show that VF-CAN reduces the index storage space and improves query performance efectively.

关键词： Cloud computing index similarity search clustering vector approximation fle(VA-fle) content addressable network(CAN)

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An Incentive Mechanism Considering Privacy Metric for Personalized Application

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IEEE Transactions on Consumer Electronics 2025年

作者： Xie, Yun Li, Peng Zhang, Jindan Attar, Razaz Waheeb Arya, Varsha Gupta, Brij B. Nanjing Vocational College of Information Technology Jiangsu Province Service Customization Network Application Engineering Research Center Jiangsu Province Service Customization Network Application Engineering Research Center Nanjing210023 China Nanjing University of Posts and Telecommunications School of Computer Science Nanjing210023 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210023 China Xianyang Polytechnic Institute China Princess Nourah bint Abdulrahman University College of Business Administration Management Department Riyadh11671 Saudi Arabia Hong Kong Metropolitan University Hong Kong Hong Kong Center for Interdisciplinary Research Dehradun India Asia University Department of Computer Science and Information Engineering Taichung413 Taiwan China Medical University Hospital China Medical University Department of Medical Research Taichung Taiwan Pune India Korea University School of Cybersecurity Seoul Korea Republic of Kyung Hee University Kyungheedae-ro Seoul26 Korea Republic of

Edge-based federated learning (EFL) is a solution for personalized applications. It addresses the limitations of cloud-based consumer service systems, such as data privacy and network latency. To further enhance the EFL system’s ability to protect data privacy, differential privacy (DP) is introduced. It is crucial to motivate high-quality collaboration among participants for optimal performance of the DP-EFL system. Researchers primarily focus on efficient learning algorithms, optimized resource scheduling, and user-oriented incentive mechanisms. Existing research exhibits notable limitations in modeling and analyzing the heterogeneity of resource costs (e.g., communication costs), particularly failing to comprehensively account for the additional costs imposed by participants’ privacy protection mechanisms‌. To address this gap, we propose a novel market transaction model based on Stackelberg game theory. This framework integrates incentive-driven reward allocation mechanisms to rigorously investigate the collaborative behaviors and strategic interactions between edge nodes (ENs) and the cloud server (CS)‌. We incorporate privacy costs into the multidimensional costs of participants with privacy metric, and based on this, derived collaboration strategies between ENs and CS, thus solving the Stackelberg game problem by theoretical analysis. Furthermore, numerical experiments validated the rationality of our proposed model, the impact of strategies on the performance of collaborators, and the advantages over other incentive mechanisms. © 2025 IEEE. All rights reserved.

关键词： Federated learning

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Research on Lightweight Sensing technology Based on Single-Antenna Multicarrier

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IEEE Internet of Things Journal 2025年

作者： Jiang, Yu Zhu, Di Wang, Jiadong Hu, Aiqun Southeast University School of Cyber Scienc and Engineering Purple Mountain Laboratories Nanjing210096 China Key Laboratory of Computer Network Technology of Jiangsu Province Nanjing210096 China Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University School of Cyber Science and Engineering Nanjing210096 China Southeast University School of Cyber Science and Engineering School of Information Science and Engineering Nanjing210096 China Southeast University State Key Laboratory of Mobile Communication Nanjing210096 China

Channel State Information (CSI) serves as a critical indicator of wireless signal conditions and is widely regarded by researchers for its sensitivity in detecting changes within the channel. However, traditional sensing technologies often require substantial data and intricate learning algorithms, highlighting an urgent need for advancements in lightweight sensing technologies. These technologies should leverage simpler terminal devices, reduced data volumes, and more straightforward classification algorithms to achieve sensing capability that are comparable to those offered by more complex and established methods. This paper concentrates on the lightweight application of wireless sensing and encompasses the following key contributions: 1) The development of a lightweight sensing model utilizing a single-antenna multicarrier system, which introduces a CSI ratio model that adapts multi-antenna techniques for single-antenna settings;2) The enhancement of feature stability through the introduction of a complex-plane fitting method using artificial vector, alongside a dual receiver based method for cross-scene feature generation aimed at producing stable and high-quality auxiliary features. Experimental results show that the feature extraction capability of the single-antenna multicarrier CSI ratio model is close to that of traditional multi-antenna scheme. On the gait dataset, when the enhanced CSI ratio is used as a feature, the accuracy is nearly 100%, surpassing the 93% accuracy of the original amplitude feature. On the gesture dataset, the combination of the enhanced CSI ratio and PEI features achieves an accuracy of 96%, which is superior to using the original CSI amplitude feature alone. An analysis of resource consumption shows that the lightweight SVM model incurs very low computational overhead during decision-making, validating the potential of this scheme in terms of efficiency and practical application. © 2014 IEEE.

关键词： Communication channels (information theory)

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Low complexity power allocation for hybrid amplify-and-forward opportunistic relay ordering cooperation

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The Journal of China Universities of Posts and Telecommunications 2013年第3期20卷 26-31页

作者： CHENG Yu-lun YANG Long-xiang Jiangsu Key Laboratory of Wireless Communications Key Laboratory on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications

In this paper, to enhance the robustness against link imbalance, a hybrid cooperative protocol is proposed for amplify-and-forward （AF） opportunistic cooperation, where opportunistic relaying and multi-hop cooperation with relay ordering （RO） are dynamically selected to maximize the end to end signal-noise ratio （SNR）, and the power allocation coefficient is optimized under total power constraint accordingly. Furthermore, a suboptimum allocation scheme with low complexity is proposed by employing the upper bound of harmonic mean. Simulation results show that the proposed scheme outperforms conventional AF opportunistic cooperation in variety of line type topology. Moreover, the efficiency of the proposed suboptimum allocation is also validated in large SNR region.

关键词： opportunistic cooperation multi-hop RO AF power allocation

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Joint power allocation and multi-relay selection scheme based on system outage probability

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The Journal of China Universities of Posts and Telecommunications 2014年第5期21卷 9-16,23页

作者： ZHOU Zhi-kang ZHU Qi The Key Wireless Laboratory of Jiangsu Province Nanjing University of Posts and Telecommunications Key Laboratory on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications

An amplify-and-forward （AF） based multi-relay network is studied. In order to minimize the system outage probability with a required transmission rate, a joint power allocation （PA） and multi-relay selection scheme is proposed under both total and individual power constraints （TIPC）. In the proposed scheme, the idea of ordering is adopted to avoid exhaustive search without losing much system performance. Besides the channel quantity, the ordering algorithm proposed in this article also takes relays＇ maximal output ability into consideration, which is usually ignored in traditional relay ordering algorithms. In addition, simple power reallocation method is provided to avoid repetitive PA operation during the process of searching all possible relay subsets. By Adopting the idea of ordering and using the proposed power reallocation method lead to remarkable decrease of the computation complexity, making the scheme easier and more feasible to implement in practical communication scenarios. Simulations show that the proposed multi-relay selection scheme provides similar performance compared to the optimal scheme with optimal PA and exhaustive search （OPAES） but with much lower complexity.

关键词： cooperative communication multi-relay selection power allocation outage probability amplify-and-forward

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