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IEEE International Conference on Multimedia and Expo (ICME)

作者： Ping Xu Jiangqun Ni Jian Zhang Yulin Zhang Shiyuan Tang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China School of Cyber Science and Technology Sun Yat-sen University Shenzhen China Department of New Networks Peng Cheng Laboratory Shenzhen China

ISBN: (数字)9798350390155

ISBN: (纸本)9798350390162

With wide applications of image editing tools, forged images have become a great public concern. Although existing methods for image forgery localization (IFL) could achieve fairly good results on several public datasets, most of them perform unsatisfactorily for cross-dataset evaluation and online social network applications. To tackle this issue, a novel coarse-to-fine framework using Diffusion probabilistic model for Image Forgery Localization (Diff-IFL) is proposed in this paper, which consists of a coarse localization module and a mask diffusion module. The coarse localization module employs a transformer-based architecture to represent the tampered images and generate coarse masks. While the mask diffusion module formulates IFL as a mask reconstruction task, it relies on the extracted forgery feature representations as the conditional prior to gradually recover the clean ground-truth mask from the noisy mask. Extensive experiments demonstrate that Diff-IFL outperforms other SOTA methods and exhibits superior robustness against social media forgery.

关键词： Location awareness Training Social networking (online) Diffusion models Feature extraction Transformers Forgery

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Downlink Transmit-End Beam Refinement for mmWave Communications Under Mobility

Downlink Transmit-End Beam Refinement for mmWave Communicati...

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2023 International Conference on Electrical engineering and Photonics, EExPolytech 2023

作者： Fokin, Grigoriy Grishin, Ilya Okuneva, Darina The Bonch-Bruevich Saint Petersburg State University of Telecommunications Laboratory of Software Defined Radio Saint Petersburg Russia The Bonch-Bruevich Saint Petersburg State University of Telecommunications Department of Communication Networks and Data Transmission Saint Petersburg Russia The Bonch-Bruevich Saint Petersburg State University of Telecommunications Department of Software Engineering and Computer Facilities Saint Petersburg Russia

ISBN: (纸本)9798350310481

This article discusses a method for adjusting the radiation pattern of a base station antenna array when conducting radio communications in the millimeter wavelength range for mobile user devices. The article describes a technique for selecting a training sequence of beams that minimizes the Cramer-Rao lower bound when estimating the transmission direction. The proposed technique makes it possible to reduce the beam adjustment time for transmission by 16 times compared to the conventional protocol, which improves the quality of service for highly mobile users. © 2023 IEEE.

关键词： Beamforming

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Microcomb based silicon photonics data link with 100Gbps/Lane PAM4 transmission

Microcomb based silicon photonics data link with 100Gbps/Lan...

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CLEO: Science and Innovations, S and I 2022

作者： Shu, Haowen Shen, Bitao Chang, Lin Tao, Yuansheng Xie, Weiqiang Jin, Ming Netherton, Andrew Zhang, Xuguang Qin, Jun Chen, Ruixuan Yu, Shaohua Wang, Xingjun Bowers, John E. State Key Laboratory of Advanced Optical Communications System and Networks Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Peng Cheng Laboratory Shenzhen518055 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China

We achieve 100 Gbps/Lane PAM4 transmission by employing an AlGaAsOI microcomb source and silicon modulators. With 20 parallel wavelength channels utilized at C-band, an aggregate data rate of 2 Tbit/s is achieved. ... 详细信息

ISBN: (纸本)9781557528209

关键词： Gallium compounds

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Non-Uniform 3D Massive MIMO Arrays Topology Optimization for Near-Field Communications

Non-Uniform 3D Massive MIMO Arrays Topology Optimization for...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Yunhui Guo Yang Zhang Lihua Pang Yuanwei Liu Zhiguo Ding State Key Laboratory of Integrated Service Networks Xidian University Xi’an China School of Electronic Engineering and Computer Science Queen Mary University of London London U.K School of Information Engineering Xian University of Science and Technology Xian China Department of Computer and Communication Engineering 6G Center Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

In this paper, the design of non-uniform antenna topology for 3D massive MIMO arrays in near-field communications is investigated. Specifically, the near-field spherical wavefront radiation characteristics are considered to accurately model the variations of signal phase across array elements. Subsequently, the closed-form expressions of the per-user signal-to-interference noise ratio (SINR) and achievable sum rate for a multi-user MIMO system with maximum-ratio transmission (MRT) precoding are derived. The focus is on the maximization of the achievable sum rate by optimizing the non-uniform 3D antenna array topology. Since the optimization problem exhibits highly nonlinear and nonconvex characteristics, an enhanced particle swarm optimization (EPSO) algorithm is proposed to effectively solve it. Numerical results demonstrate the superiority of the proposed non-uniform 3D array topology in near-field communications for enhancing the achievable sum rate.

关键词： Three-dimensional displays Simulation Precoding Massive MIMO Interference Mobile antennas Topology Optimization Antenna arrays Signal to noise ratio

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Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound optimization

Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao ...

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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Song, Xianxin Xu, Jie Liu, Fan Han, Tony Xiao Eldar, Yonina C. School of Science and Engineering Future Network of Intelligence Institute Guangdong Provincial Key Laboratory of Future Networks of Intelligence China Southern University of Science and Technology Department of Electrical and Electronic Engineering China Wireless Technology Lab 2012 Laboratories Huawei China Weizmann Institute of Science Faculty of Mathematics and Computer Science Israel

ISBN: (纸本)9781665459754

This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is deployed to assist an access point (AP) to sense a target in its NLoS region. It is assumed that the AP is equipped with multiple antennas and the IRS is equipped with a uniform linear array. The AP aims to estimate the target's direction-of-arrival (DoA) with respect to the IRS, based on the echo signals from the AP-IRS-target-IRS-AP link. Under this setup, we jointly design the transmit beamforming at the AP and the reflective beamforming at the IRS to minimize the CramérRao lower bound (CRLB) on estimation error. Towards this end, we first obtain the CRLB expression for estimating the DoA in closed form. Next, we optimize the joint beamforming design to minimize the CRLB, via alternating optimization, semi-definite relaxation, and successive convex approximation. Numerical results show that the proposed design based on CRLB minimization achieves improved sensing performance in terms of mean squared error, as compared to the traditional schemes with signal-to-noise ratio maximization and separate beamforming. © 2022 IEEE.

关键词： Beamforming

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Real-Time and IoT - Why and How? 3

Real-Time and IoT - Why and How?

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3rd CSI/CPSSI International Symposium on Real-Time and Embedded Systems and Technologies, RTEST 2020

作者： Thiele, Lothar Computer Engineering and Networks Laboratory Swiss Federal Institute of Technology Zurich Switzerland

ISBN: (纸本)9781728175515

If visions and forecasts of industry come true then billions of interconnected embedded devices will soon surround us. We have the legitimate expectation that the individual devices as well as the overall system behaves in a reliable and predictable manner. We expect correct and timely results from sensing, computation, communication and actuation due to economic importance or even catastrophic consequences if the overall system is not working correctly. It will be argued that one of the major reasons for unpredictable and unwanted behavior of IoT systems is due to interference from external or internal processes. We need novel architectural concepts, an associated design process and validation strategies to satisfy the strongly conflicting requirements and associated design challenges of platforms for IoT: handle at the same time limited available resources, adaptive run-time behavior, and predictability. The presentation will introduce recent advances in this direction. © 2020 IEEE.

关键词： Internet of things

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Transfer Learning assisted Beam Training via Large-Scale Intelligent Omni-surface in Dynamic Environments

Transfer Learning assisted Beam Training via Large-Scale Int...

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IEEE Conference on Vehicular Technology (VTC)

作者： Zhihan Chen Shuhang Zhang Shuhao Zeng Boya Di School of Electronics Engineering and Computer Science Peking University Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China

Intelligent omni-directional surfaces (IOS), which can simultaneously reflect and refract incident signals, are considered as a promising solution for enhancing communication quality. To conduct joint beamforming of the BS and IOS, beam training is introduced such that perfect channel state information is not required anymore. However, the propagation environment is usually dynamically varying in practice, leading to frequent beam training procedures and huge training overhead. In this paper, we propose a transfer learning based beam training scheme for the IOS-assisted multi-user system to adapt to the dynamically changing propagation environment. We first build on an offline phase to train a beam prediction model that outputs the optimal beam with the highest data rate given only the received power of a small number of beams as the input. Then a transfer learning based method is developed such that the above beam prediction model can be updated to adapt to the dynamic environment rapidly. Simulation results demonstrate that the proposed scheme outperforms the existing beam training schemes in dynamic environments in terms of the convergence speed and the sum rate.

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Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game

Waveform Precoding Design for Mobile Crowd ISCC System Using...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Wang, Dezhi Huang, Chongwen He, Jiguang Zhu, Chen Wang, Wei Chen, Xiaoming Zhang, Zhaoyang Han, Zhu Debbah, Mérouane College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Xidian University State Key Laboratory of Integrated Services Networks Xi'an China Technology Innovation Institute Abu Dhabi United Arab Emirates Polytechnic Institute Zhejiang University Hangzhou China University of Houston Department of Electrical and Computer Engineering HoustonTX United States Khalifa University of Science and Technology Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350370218

Data collection and processing timely is crucial for mobile crowd integrated sensing, communication, and computation (ISCC) systems with various applications such as smart home and connected cars. However, as the number of integrated sensing and communication (ISAC) devices grows, there exist intensive interactions among ISAC devices in the processes of data collection and processing. In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC system and propose an efficient waveform precoding design algorithm based on the mean field game (MFG). Specifically, to handle the complex interactions among large-scale ISAC devices, we first employ the MFG method to transform the influence from other ISAC devices into the mean field term. Then, we derive the cost function based on the mean field term and reformulate the waveform precoding design problem based on the MFG. Next, we utilize the G-prox primal-dual hybrid gradient algorithm to solve the reformulated problem. Finally, numerical results demonstrate that the proposed algorithm converges quickly and can reduce energy consumption by about 10% compared with the existing algorithms. © 2023 IEEE.

关键词： communication computation integrated sensing mean field game mobile crowd sensing Waveform precoding design

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Integrated Sensing and Communication for 6G Holographic Digital Twins

arXiv

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arXiv 2025年

作者： Zhang, Haijun Zhang, Ziyang Liu, Xiangnan Li, Wei Li, Haojin Sun, Chen Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing Beijing100083 China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm11428 Sweden Sony China Research Laboratory Beijing100027 China

With the advent of 6G networks, offering ultra-high bandwidth and ultra-low latency, coupled with the enhancement of terminal device resolutions, holographic communication is gradually becoming a reality. Holographic digital twin (HDT) is considered one of key applications of holographic communication, capable of creating virtual replicas for real-time mapping and prediction of physical entity states, and performing three-dimensional reproduction of spatial information. In this context, integrated sensing and communication (ISAC) is expected to be a crucial pathway for providing data sources to HDT. This paper proposes a four-layer architecture assisted by ISAC for HDT, integrating emerging paradigms and key technologies to achieve low-cost, high-precision environmental data collection for constructing HDT. Specifically, to enhance sensing resolution, we explore super-resolution techniques from the perspectives of parameter estimation and point cloud construction. Additionally, we focus on multi-point collaborative sensing for constructing HDT, and provide a comprehensive review of four key techniques: node selection, multi-band collaboration, cooperative beamforming, and data fusion. Finally, we highlight several interesting research directions to guide and inspire future work. Copyright © 2025, The Authors. All rights reserved.

关键词： Data fusion

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Extendedsketch+: Super Host Identification and Network Host Trust Evaluation with Memory Efficiency and High Accuracy

SSRN

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SSRN 2022年

作者： Han, Hui Jing, Xuyang Yan, Zheng Pedrycz, Witold State Key Laboratory on Integrated Services Networks School of Cyber Engineering Xidian University China Department of Electrical and Computer Engineering University of Alberta Canada

Host cardinality estimation is one crucial task in network traffic measurement. Super host is the host that exhibits anomalies in host cardinality and it is usually related to network abnormal events. Therefore, accurate host caidinality estimation is the premise of super host identification and it can be used to measure the trust degree of a network. Sketches have been widely used in super host identification. However, expanding network scale and increasing link rate bring challenges to the efficiency and accuracy of sketch-based super host identification. The size of the counters in most sketches requires a trade-off between memory resources and accuracy. To meet the need of measuring high cardinalities, large size counters are applied, which leads to memory waste in monitoring low cardinality hosts. On the other hand, most sketches have high computational overhead when tracking superhosts, resulting in inefficiency. In order to address these issues, we propose a novel memory efficient and reversible sketch, named ExtendedSketch+, to provide accurate host cardinality estimation with the purpose of super host identification and network host trust evaluation. ExtendedSketch+ achieves both high memory utilization efficiency and high accuracy, in addition to high super host identification efficiency. It applies extensible counters to record unbalanced host cardinality distribution, by adaptively expanding the counters with the increase of cardinality. It adopts a lossless traffic information transfer strategy during counter extension to ensure the accuracy of cardinality estimation. It can directly tracks the host with the highest cardinality in each bucket, which greatly improves the identification efficiency of super hosts. Based on accurate cardinality estimation of ExtendedSketch+, we can further accurately evaluate host trust degree. We theoretically analyze ExtendedSketch+ with regard to its space and time complexities and estimation accuracy. We conduct perform

关键词： Efficiency

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