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Cooperative DNN Partitioning in Energy-Harvesting and MEC-Enabled UAV Networks

IEEE Internet of Things Journal 2025年第13期12卷 24329-24344页

作者： Gao, Ke Du, Jun Jiang, Chunxiao Simonjan, Jennifer Mishra, Debashisha Zhang, Chao Debbah, Merouane Tsinghua University Department of Electronic Engineering Beijing100084 China Tsinghua University Beijing National Research Center for Information Science and Technology Beijing100084 China Technology Innovation Institute Masdar City Abu Dhabi9639 United Arab Emirates Khalifa University of Science and Technology KU6G Center Abu Dhabi127788 United Arab Emirates

Unmanned Aerial Vehicles (UAVs) are critical in modern emergency response due to their high mobility. However, limited computing resources and energy supplies necessitate the use of UAV networks for collaborative inference. UAV intelligent tasks are often Deep Neural Networks (DNN)-based, with DNN partitioning enabling collaborative inference. However, executing DNN partitioning in a highly dynamic UAV network faces two challenges that have not been addressed in existing research: the time gap between the state sampling and the execution of the corresponding action based on that state, and the unknown trajectories in advance. The time gap requires predictive action decision-making. To address this, we model DNN partitioning and edge offloading with hybrid action decisions in dynamic, energy-harvesting UAV networks as a Predictive Markov Decision Process (P-MDP). The rapidly changing and previously unknown network topology significantly impacts channel and data transmission energy consumption, affecting DNN partitioning decisions. To better solve the action prediction problem, we use the Transformer module to extract motion features from recent time slots in the proposed Transformer-enhanced Multi-Agent Hybrid Action Proximal Policy Optimization (TE-MHAPPO) framework. Simulation results show that TE-MHAPPO reduces the reward which comprehensively considers task delay and energy consumption, by at least 12.1% compared to the state-of-theart MHAPPO. Additionally, its reward performance degradation with the increase in prediction time is at most 55.2% of that observed in the baseline. © 2014 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Coverage and Rate Performance for Distributed Multi-RIS-Assisted mmWave Communications 100

Coverage and Rate Performance for Distributed Multi-RIS-Assi...

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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Cao, Yuwen Wu, Xiaowen He, Jiguang Ohtsuki, Tomoaki Donghua University College of Information Science and Technology Shanghai China The Technology Innovation Institute Abu Dhabi Masdar City9639 United Arab Emirates Keio University Department of Information and Computer Science Yokohama Japan

ISBN: (纸本)9798331517786

Millimeter-wave (mmWave) communication, which operates at high frequencies, has gained extensive research interest due to its significantly wide spectrum and short wavelengths. However, mmWave communication suffers from the notable drawbacks as follows: i) The mmWave signals are sensitive to the blockage, which is caused by the weak diffraction ability of mmWave propagation. ii) The mmWave communication incorporating with reconfigurable intelligent surfaces (RISs) is efficient in overcoming the performance degradation caused by severe path loss. Nevertheless, the location of users and RISs as well as their densities impose a significant impact on the coverage and rate performance. Motivated by the challenges above and based on the stochastic geometry concept, we first construct distributed multi-RIS-aided mmWave communication system over Nakagami-m fading channel. Afterward, we analyze the end-to-end (E2E) signal-to-interference-plus-noise-ratio (SINR) coverage and rate performance of the system. To improve the system performance in term of the E2E SINR coverage probability and achievable rate, we study the optimization of the phase-shifting control of the distributed RISs and optimize the E2E SINR coverage particularly when installing a large number of reflecting elements in RISs. To facilitate the study, we optimize the dynamic association criterion between the source and destination. Our simulation results demonstrate that the deployment of distributed RISs can significantly improve the E2E SINR coverage probability and achievable rate of the system compared to the selected benchmarks. © 2024 IEEE.

关键词： Signal to noise ratio

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Robust Continuous-Time Beam Tracking with Liquid Neural Network

Robust Continuous-Time Beam Tracking with Liquid Neural Netw...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhu, Fenghao Wang, Xinquan Huang, Chongwen Jin, Richeng Yang, Qianqian Al Hammadi, Ahmed Zhang, Zhaoyang Yuen, Chau Debbah, Mérouane Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Xidian University State Key Laboratory of Integrated Service Networks Xi'an710071 China Technology Innovation Institute Abu Dhabi Masdar City9639 United Arab Emirates Nanyang Technological University School of Electrical and Electronics Engineering 639798 Singapore Khalifa University of Science and Technology Ku 6G Research Center PO Box 127788 Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350351255

Millimeter-wave (mmWave) technology is increasingly recognized as a pivotal technology of the sixth-generation communication networks due to the large amounts of available spectrum at high frequencies. However, the huge overhead associated with beam training imposes a significant challenge in mmWave communications, particularly in urban environments with high background noise. To reduce this high overhead, we propose a novel solution for robust continuous-time beam tracking with liquid neural network, which dynamically adjust the narrow mmWave beams to ensure real-time beam alignment with mobile users. Through extensive simulations, we validate the effectiveness of our proposed method and demonstrate its superiority over existing state-of-the-art deep-learning-based approaches. Specifically, our scheme achieves at most 46.9% higher normalized spectral efficiency than the baselines when the user is moving at 5 m/s, demonstrating the potential of liquid neural networks to enhance mmWave mobile communication performance. © 2024 IEEE.

关键词： Continuous time systems

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Channel Estimation for Massive MIMO Orthogonal Delay-Doppler Division Multiplexing Systems

Channel Estimation for Massive MIMO Orthogonal Delay-Doppler...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Wang, Dezhi Huang, Chongwen Liu, Lei Chen, Xiaoming Yang, Zhaohui He, Jiguang Zhang, Zhaoyang Yuen, Chau Debbah, Mérouane Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Technology Innovation Institute Abu Dhabi Masdar City9639 United Arab Emirates Nanyang Technological University School of Electrical and Electronics Engineering Singapore Khalifa University Department of Electrical Engineering and Computer Science The Ku 6G Center Abu Dhabi127788 United Arab Emirates University Paris-Saclay CentraleSupelec Gif-sur-Yvette91192 France

ISBN: (纸本)9798350351255

Orthogonal delay-Doppler division multiplexing (ODDM) modulation has recently been considered a promising technology for enhancing communication system performance in high-mobility scenarios. Accurate and low-complexity channel estimation is one of the most significant challenges for massive multiple-input multiple-output (MIMO) ODDM systems, mainly due to the massive antenna arrays and high-mobility environments. In this paper, we focus on the downlink massive MIMO-ODDM communication systems, and propose a two-stage low-complexity channel estimation algorithm. Specifically, we first derive the effective channel model of the massive MIMO-ODDM systems, where the elements of the channel matrix do not follow a Bernoulli-Gaussian distribution, but their magnitudes do. Utilizing this characteristic, we employ the memory approximate message passing method to estimate the gains, delay, and Doppler of the multi-path channel, while the angles of the channel are estimated using the discrete Fourier transform method, achieving low-complexity Bayes-optimal results. Finally, numerical results demonstrate that the proposed algorithm can achieve improved estimation results, surpassing existing algorithms by approximately 2 dB. © 2024 IEEE.

关键词： Discrete Fourier transforms

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A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm

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Computers, Materials & Continua 2023年第10期77卷 781-797页

作者： Yazeed Yasin Ghadi Mohammed SAlshehri Sultan Almakdi Oumaima Saidani Nazik Alturki Fawad Masood Muhammad Shahbaz Khan Department of Computer Science Al Ain UniversityAbu Dhabi112612United Arab Emirates Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Electrical Engineering Institute of Space TechnologyIslamabad4400Pakistan School of Computing Engineering and the Built EnvironmentEdinburgh Napier UniversityEdinburghEH105DTUK

Securing digital image data is a key concern in today’s information-driven *** encryption techniques are required to protect sensitive image data,with the Substitution-box(S-box)often playing a pivotal role in many symmetric encryption *** study introduces an innovative approach to creating S-boxes for encryption *** proposed S-boxes are tested for validity and non-linearity by incorporating them into an image encryption *** nonlinearity measure of the proposed S-boxes is *** qualities significantly enhance its resistance to common cryptographic attacks,ensuring high image data ***,to assess the robustness of the S-boxes,an encryption system has also been proposed and the proposed S-boxes have been integrated into the designed encryption *** validate the effectiveness of the proposed encryption system,a comprehensive security analysis including brute force attack and histogram analysis has been *** addition,to determine the level of security during the transmission and storage of digital content,the encryption system’s Number of Pixel Change Rate(NPCR),and Unified Averaged Changed Intensity(UACI)are *** results indicate a 99.71%NPCR and 33.51%*** results demonstrate that the proposed S-boxes offer a significant level of security for digital content throughout its transmission and storage.

关键词： S-box chaos artificial bee colony image encryption

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Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System

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IEEE Transactions on Vehicular technology 2025年第6期74卷 9979-9984页

作者： Wang, Yueqing Mei, Yikun Gao, Zhen Wan, Ziwei Ning, Boyu Mi, De Muhaidat, Sami School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology MIIT Key Laboratory of Complex-Field Intelligent Sensing Beijing100081 China Yangtze Delta Region Academy Jiaxing314019 China Beijing Institute of Technology Advanced Technology Research Institute Jinan250307 China University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu611731 China Birmingham City University School of Computing and Digital Technology BirminghamB55JU United Kingdom Khalifa University KU 6 G Research Center Department of Computer and Information Engineering Abu Dhabi United Arab Emirates

The spatial diversity and multiplexing advantages of massive multi-input-multi-output (mMIMO) can significantly improve the capacity of massive non-orthogonal multiple access (NOMA) in machine type communications. However, state-of-the-art grant-free massive NOMA schemes for mMIMO systems require accurate estimation of random access channels to perform activity detection and the following coherent data demodulation, which suffers from excessive pilot overhead and access latency. To address this, we propose a pre-equalization aided grant-free massive access scheme for mMIMO systems, where an iterative detection scheme is conceived. Specifically, the base station (BS) firstly activates one of its antennas (i.e., beacon antenna) to broadcast a beacon signal, which facilitates the user equipment (UEs) to perform downlink channel estimation and pre-equalize the uplink random access signal with respect to the channels associated with the beacon antenna. During the uplink transmission stage, the BS detects UEs' activity and data by using the proposed iterative detection algorithm, which consists of three modules: coarse data detection (DD), data-aided channel estimation (CE), and fine DD. In the proposed algorithm, the joint activity and DD is firstly performed based on the signals received by the beacon antenna. Subsequently, the DD is further refined by iteratively performing data-aided CE module and fine DD module using signals received by all BS antennas. Our simulation results demonstrate that the proposed scheme outperforms state-of-the-art mMIMO-based grant-free massive NOMA schemes with the same access latency. © 1967-2012 IEEE.

关键词： Channel estimation

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Toward a Unified Analytical Framework for ISAC Fundamentals in Cellular Networks

Toward a Unified Analytical Framework for ISAC Fundamentals ...

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IEEE Conference on Vehicular technology (VTC)

作者： Xu Gan Chongwen Huang Zhaohui Yang Xiaoming Chen Jiguang He Zhaoyang Zhang Chau Yuen Yong Liang Guan Mérouane Debbah College of Information Science and Electronic Engineering Zhejiang University Hangzhou China State Key Laboratory of Integrated Service Networks Xidian University Xi'an China Technology Innovation Institute Masdar City Abu Dhabi UAE School of Electrical and Electronics Engineering Nanyang Technological University Singapore Khalifa University of Science and Technology Abu Dhabi UAE

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Integrated sensing and communication (ISAC) is increasingly recognized as a pivotal technology for next-generation cellular networks, offering mutual benefits in both sensing and communication capabilities. This advancement necessitates a re-examination of the fundamental limits within networks where these two functionalities coexist via shared spectrum and infrastructures. However, traditional stochastic geometry-based performance analyses are confined to either communication or sensing networks separately. This paper bridges this gap by introducing a generalized stochastic geometry framework in ISAC networks. Based on this framework, we define and calculate the coverage rate of sensing and communication performance under resource constraints. Further, we present theoretical results for the coverage rate of unified ISAC performance, taking into account the coupling effects of dual functions in coexistence networks. Extensive numerical results validate the accuracy of all theoretical derivations, and also indicate that denser networks significantly enhance ISAC coverage. Specifically, increasing the base station density from 1 km- 2 to 10 km -2 can boost the ISAC coverage rate from 1.4% to 39.8%.

关键词： Geometry Couplings Cellular networks Meters Bridges Vehicular and wireless technologies Accuracy

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RIS-Assisted Coverage Enhancement in mmWave Integrated Sensing and Communication Networks

RIS-Assisted Coverage Enhancement in mmWave Integrated Sensi...

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Ubiquitous Communication (Ucom), International Conference on

作者： Xu Gan Chongwen Huang Zhaohui Yang Xiaoming Chen Faouzi Bader Zhaoyang Zhang Chau Yuen Yong Liang Guan Mérouane Debbah College of Information Science and Electronic Engineering Zhejiang University Hangzhou China State Key Laboratory of Integrated Service Networks Xidian University Xi'an China Technology Innovation Institute Masdar City Abu Dhabi UAE School of Electrical and Electronics Engineering Nanyang Technological University Singapore Khalifa University of Science and Technology Abu Dhabi UAE

ISBN: (数字)9798350374216

ISBN: (纸本)9798350374223

Integrated sensing and communication (ISAC) has emerged as a promising technology to facilitate high-rate communications and super-resolution sensing, particularly operating in the millimeter wave (mmWave) band. However, the vulnerability of mmWave signals to blockages severely impairs ISAC capabilities and coverage. To tackle this, an efficient and low-cost solution is to deploy distributed reconfigurable intelligent surfaces (RISs) to construct virtual links between the base stations (BSs) and users in a controllable fashion. In this paper, we investigate the generalized RIS-assisted mmWave ISAC networks considering the blockage effect, and examine the beneficial impact of RISs on the coverage rate utilizing stochastic geometry. Specifically, taking into account the coupling effect of ISAC dual functions within the same network topology, we derive the conditional coverage probability of ISAC performance for two association cases, based on the proposed beam pattern model and user association policies. Then, the marginal coverage rate is calculated by combining these two cases through the distance-dependent thinning method. Simulation results verify the accuracy of derived theoretical formulations and provide valuable guidelines for the practical network deployment. Specifically, our results indicate the superiority of the RIS deployment with the density of 40 km −2 BSs, and that the joint coverage rate of ISAC performance exhibits potential growth from 67.1% to 92.2% with the deployment of RISs.

关键词： Geometry Couplings Accuracy Network topology Virtual links Stochastic processes Interference Reconfigurable intelligent surfaces Integrated sensing and communication Millimeter wave communication

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Device-Free 3D Drone Localization in RIS-Assisted mmWave MIMO Networks

arXiv

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arXiv 2024年

作者： He, Jiguang Vanwynsberghe, Charles Chen, Hui Huang, Chongwen Fakhreddine, Aymen School of Computing and Information Technology Great Bay University Dongguan China Technology Innovation Institute Masdar City Abu Dhabi9639 United Arab Emirates Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Institute of Networked and Embedded Systems University of Klagenfurt Klagenfurt Austria

In this paper, we investigate the potential of reconfigurable intelligent surfaces (RISs) in facilitating passive/device-free three-dimensional (3D) drone localization within existing cellular infrastructure operating at millimeter-wave (mmWave) frequencies and employing multiple antennas at the transceivers. The developed localization system operates in the bi-static mode without requiring direct communication between the drone and the base station. We analyze the theoretical performance limits via Fisher information analysis and Cramér Rao lower bounds (CRLBs). Furthermore, we develop a low-complexity yet effective drone localization algorithm based on coordinate gradient descent and examine the impact of factors such as radar cross section (RCS) of the drone and training overhead on system performance. It is demonstrated that integrating RIS yields significant benefits over its RIS-free counterpart, as evidenced by both theoretical analyses and numerical simulations. © 2024, CC BY.

关键词： Cramer-Rao bounds

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Hashing Beam Training for Near-Field Communications

Hashing Beam Training for Near-Field Communications

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IEEE International Conference on Communications Workshops, ICC

作者： Yuan Xu Wei Li Chongwen Huang Chen Zhu Zhaohui Yang Jun Yang Jiguang He Zhaoyang Zhang Mérouane Debbah College of Information Science and Electronic Engineering Zhejiang University Hangzhou China State Key Laboratory of Integrated Service Networks Xidian University Xi'an China School of Electrical and Electronics Engineering. Nanyang Technological University Singapore College of Engineering Zhejiang University Hangzhou China Wireless Product R&D Institute ZTE Corporation China Technology Innovation Institute Masdar City Abu Dhabi UAE KU 6G Research Center Khalifa University of Science and Technology Abu Dhabi UAE CentraleSupelec University Paris-Saclay Gif-sur-Yvette France

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

In this paper, we investigate the millimeter-wave (mmWave) near-field beam training problem to find the correct beam direction. In order to address the high complexity and low identification accuracy of existing beam training techniques, we propose an efficient hashing multi-arm beam (HMB) training scheme for the near-field scenario. Specifically, we first design a set of sparse bases based on the polar domain sparsity of the near-field channel. Then, the random hash functions are chosen to construct the near-field multi-arm beam training codebook. Each multi-arm beam codeword is scanned in a time slot until all the predefined codewords are traversed. Finally, the soft decision and voting methods are applied to distinguish the signal from different base stations and obtain correctly aligned beams. Simulation results show that our proposed near-field HMB training method can reduce the beam training overhead to the logarithmic level, and achieve 96.4 % identification accuracy of exhaustive beam training. Moreover, we also verify applicability under the far-field scenario.

关键词： Training Hash functions Accuracy Simulation Conferences Millimeter wave technology Vectors

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