no code implementations • 31 May 2024 • Yinxiao Zhuo, Tianqi Mao, Haojin Li, Chen Sun, Zhaocheng Wang, Zhu Han, Sheng Chen
To this end, this article investigates the key technologies for multi-beam ISAC system.
no code implementations • 21 May 2024 • Huiqiang Xie, Zhijin Qin, Zhu Han, Khaled B. Letaief
Digital and analog semantic communications (SemCom) face inherent limitations such as data security concerns in analog SemCom, as well as leveling-off and cliff-edge effects in digital SemCom.
no code implementations • 18 May 2024 • Ziye Jia, Jiahao You, Chao Dong, Qihui Wu, Fuhui Zhou, Dusit Niyato, Zhu Han
As the demands for immediate and effective responses increase in both civilian and military domains, the unmanned aerial vehicle (UAV) swarms emerge as effective solutions, in which multiple cooperative UAVs can work together to achieve specific goals.
no code implementations • 11 May 2024 • Anik Mallik, Jiang Xie, Zhu Han
Moreover, the heterogeneity in devices and wireless access networks brings additional challenges in modeling.
no code implementations • 10 May 2024 • David E. Ruíz-Guirola, Onel L. A. López, Samuel Montejo-Sánchez, Israel Leyva Mayorga, Zhu Han, Petar Popovski
This paper presents an approach for energy-neutral Internet of Things (IoT) scenarios where the IoT devices (IoTDs) rely entirely on their energy harvesting capabilities to sustain operation.
no code implementations • 29 Apr 2024 • Walid Saad, Omar Hashash, Christo Kurisummoottil Thomas, Christina Chaccour, Merouane Debbah, Narayan Mandayam, Zhu Han
These systems acquire common sense by exploiting different cognitive abilities such as perception, analogy, and reasoning, that enable them to generalize and deal with unforeseen scenarios.
no code implementations • 28 Apr 2024 • Jinbo Wen, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Hongyang Du, Yang Zhang, Zhu Han
In this article, we explore the potential of GAI for carbon emissions reduction and propose a novel GAI-enabled solution for low-carbon AIoT.
no code implementations • 24 Apr 2024 • Yousef Emami, Hao Gao, Kai Li, Luis Almeida, Eduardo Tovar, Zhu Han
Unmanned Aerial Vehicle (UAV) swarms play an effective role in timely data collection from ground sensors in remote and hostile areas.
no code implementations • 22 Apr 2024 • Jiacheng Wang, Hongyang Du, Dusit Niyato, Zehui Xiong, Jiawen Kang, Bo Ai, Zhu Han, Dong In Kim
Finally, through clustering, G-HFD determines the number of subflows and the number of targets in each subflow, i. e., the subflow size.
no code implementations • 11 Apr 2024 • Huan Huang, Hongliang Zhang, Weidong Mei, Jun Li, Yi Cai, A. Lee Swindlehurst, Zhu Han
Moreover, a theoretical analysis is conducted to quantify the impact of DISCO jamming attacks.
no code implementations • 10 Apr 2024 • Yiru Wang, Wanting Yang, Zehui Xiong, Yuping Zhao, Tony Q. S. Quek, Zhu Han
Recognizing the transformative capabilities of AI-generated content (AIGC) technologies in content generation, this paper explores a pioneering approach by integrating them into SemCom to address the aforementioned challenges.
no code implementations • 30 Mar 2024 • Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han
To address the challenges posed by system and data heterogeneities in the FL process, we study a goal-directed client selection problem based on the model analytics framework by selecting a subset of clients for the model training.
no code implementations • 17 Mar 2024 • Xufeng Guo, Yuanbin Chen, Ying Wang, Zhaocheng Wang, Zhu Han
In this paper, we investigate the sparse channel estimation in holographic multiple-input multiple-output (HMIMO) systems.
no code implementations • 13 Mar 2024 • Anik Mallik, Dawei Chen, Kyungtae Han, Jiang Xie, Zhu Han
With an increase in AoI, incremental service aggregation issues are observed with out-of-sequence information updates, which hampers the performance of low-latency applications in CAVs.
no code implementations • 11 Mar 2024 • Md. Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara, Walid Saad, Zhu Han, Sachin Shetty
Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a fundamental challenge that must be addressed in order to protect the power grid by realizing and validating risk in new attack vectors.
no code implementations • 20 Feb 2024 • Huiqiang Xie, Zhijin Qin, Xiaoming Tao, Zhu Han
First, we propose a new semantic communication architecture that seamlessly integrates large models into semantic communication through the introduction of a memory module.
no code implementations • 15 Jan 2024 • Yiming Liu, Rui Wang, Zhu Han
Reconfigurable intelligent surface (RIS) technology is a promising solution to improve the performance of existing wireless communications.
no code implementations • 15 Jan 2024 • Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Dong In Kim, Khaled B. Letaief
AI agents based on multimodal large language models (LLMs) are expected to revolutionize human-computer interaction and offer more personalized assistant services across various domains like healthcare, education, manufacturing, and entertainment.
no code implementations • 29 Dec 2023 • Dongbin Hou, Lixin Li, Wensheng Lin, Junli Liang, Zhu Han
With the rapid development of deep learning (DL) in recent years, automatic modulation recognition (AMR) with DL has achieved high accuracy.
no code implementations • 21 Dec 2023 • Yunfeng Wen, Fang Yang, Jian Song, Zhu Han
Integrated sensing and communication (ISAC) is viewed as a crucial component of future mobile networks and has gained much interest in both academia and industry.
no code implementations • 23 Nov 2023 • Hao Feng, Yi Yang, Zhu Han
Experimental results suggest that the proposed method surpasses the baseline in perceiving vehicles in blind spots and effectively compresses communication data.
no code implementations • 8 Nov 2023 • Fan Zhang, Tianqi Mao, Ruiqi Liu, Zhu Han, Sheng Chen, Zhaocheng Wang
For the communication-centric design, to maximize the achievable data rate, a fraction of REs are optimally allocated for communications according to prior knowledge of the communication channel.
no code implementations • 26 Oct 2023 • Guanhua Wang, Fang Yang, Jian Song, Zhu Han
The sixth-generation (6G) network is expected to achieve global coverage based on the space-air-ground integrated network, and the latest satellite network will play an important role in it.
no code implementations • 20 Oct 2023 • Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Semantic communication has emerged as a pillar for the next generation of communication systems due to its capabilities in alleviating data redundancy.
1 code implementation • 19 Oct 2023 • Wensheng Lin, Yuna Yan, Lixin Li, Zhu Han, Tad Matsumoto
This letter proposes a novel anti-interference technique, semantic interference cancellation (SemantIC), for enhancing information quality towards the sixth-generation (6G) wireless networks.
1 code implementation • 12 Oct 2023 • Wensheng Lin, Yuna Yan, Lixin Li, Zhu Han, Tad Matsumoto
This letter proposes a novel relaying framework, semantic-forward (SF), for cooperative communications towards the sixth-generation (6G) wireless networks.
no code implementations • 4 Oct 2023 • Jingheng Zheng, Wanli Ni, Hui Tian, Deniz Gunduz, Tony Q. S. Quek, Zhu Han
To tackle this issue, we propose a semi-federated learning (SemiFL) paradigm to leverage the computing capabilities of both the BS and devices for a hybrid implementation of centralized learning (CL) and FL.
no code implementations • 1 Oct 2023 • Huan Huang, Lipeng Dai, Hongliang Zhang, Chongfu Zhang, Zhongxing Tian, Yi Cai, A. Lee Swindlehurst, Zhu Han
Moreover, we outline future research directions and challenges for the DIRS-based FPJ and its anti-jamming precoding to stimulate this line of research and pave the way for practical applications.
no code implementations • 20 Sep 2023 • Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han
Intelligent transportation systems (ITSs) have been fueled by the rapid development of communication technologies, sensor technologies, and the Internet of Things (IoT).
no code implementations • 20 Sep 2023 • Haoyu Wang, Zhu Han, A. Lee Swindlehurst
While reconfigurable intelligent surface (RIS) technology has been shown to provide numerous benefits to wireless systems, in the hands of an adversary such technology can also be used to disrupt communication links.
1 code implementation • IEEE Transactions on Wireless Communications 2023 • Haoran Peng, Ching-Chieh Hsia, Zhu Han, and Li-Chun Wang
By creating multipath backscatter links and amplify signal strength, reconfigurable intelligent surfaces (RIS) and decode-and-forward (DF) relaying are shown to degrade the latency of the ultrareliable low-latency communications (URLLCs) and enhanced mobile broadband (eMBB) multiplexing system.
no code implementations • 6 Sep 2023 • Dezhi Wang, Chongwen Huang, Jiguang He, Xiaoming Chen, Wei Wang, Zhaoyang Zhang, Zhu Han, Mérouane Debbah
In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC systems and propose an efficient waveform precoding design algorithm based on the mean field game~(MFG).
no code implementations • 30 Aug 2023 • Huan Huang, Lipeng Dai, Hongliang Zhang, Zhongxing Tian, Yi Cai, Chongfu Zhang, A. Lee Swindlehurst, Zhu Han
Numerical results are also presented to evaluate the effectiveness of the proposed anti-jamming precoder against the DIRS-based FPJs and the feasibility of the designed data frame used by the legitimate AP to estimate the statistical characteristics.
no code implementations • 19 Aug 2023 • Panpan Li, Yong Niu, Hao Wu, Zhu Han, Guiqi Sun, Ning Wang, Zhangdui Zhong, Bo Ai
One technology that has the potential to improve wireless communications in years to come is integrated sensing and communication (ISAC).
no code implementations • 16 Aug 2023 • Feng Shu, Baihua Shi, YiWen Chen, Jiatong Bai, YiFan Li, Tingting Liu, Zhu Han, Xiaohu You
To address this problem, a new heterogeneous sub-connected hybrid analog and digital (HAD) MIMO structure is proposed with an intrinsic ability of removing phase ambiguity and a corresponding new framework is developed to implement a rapid high-precision DOA estimation using only single time-slot.
no code implementations • 7 Jul 2023 • Huan Huang, Hongliang Zhang, Yi Cai, A. Lee Swindlehurst, Zhu Han
Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, while also pose a huge risk for physical layer security.
no code implementations • 28 Jun 2023 • Lanhua Xiang, Fengyu Wang, Wenjun Xu, Tiankui Zhang, Miao Pan, Zhu Han
First, a cluster-evolutionary target association (CETA) algorithm is proposed, which involves dividing the UAV swarm into the multiple sub-swarms and individually matching these sub-swarms to targets.
no code implementations • 12 May 2023 • Guoshun Nan, Zhichun Li, Jinli Zhai, Qimei Cui, Gong Chen, Xin Du, Xuefei Zhang, Xiaofeng Tao, Zhu Han, Tony Q. S. Quek
We argue that central to the success of ESC is the robust interpretation of conveyed semantics at the receiver side, especially for security-critical applications such as automatic driving and smart healthcare.
no code implementations • 7 May 2023 • Yuanbin Chen, Ying Wang, Xufeng Guo, Zhu Han, Ping Zhang
In this paper, we investigate the employment of reconfigurable intelligent surfaces (RISs) into vehicle platoons, functioning in tandem with a base station (BS) in support of the high-precision location tracking.
no code implementations • 8 Mar 2023 • Xiao Tang, Hongrui Zhang, Ruonan Zhang, Deyun Zhou, Yan Zhang, Zhu Han
In this paper, we employ an unmanned aerial vehicle (UAV) as an edge server to assist IIoT data processing, while considering the practical issue of UAV jittering.
no code implementations • 28 Feb 2023 • Xiao Tang, Hongliang He, Limeng Dong, Lixin Li, Qinghe Du, Zhu Han
The security gain with aerial reflection and jamming is further improved with the optimized deployment of the aerial platform.
1 code implementation • 16 Feb 2023 • Minrui Xu, Dusit Niyato, Junlong Chen, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han
In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensional communications in autonomous driving systems.
no code implementations • 16 Feb 2023 • Yongkang Gong, Haipeng Yao Xiaonan Liu, Mehdi Bennis, Arumugam Nallanathan, Zhu Han
Satellite-ground integrated digital twin networks (SGIDTNs) are regarded as innovative network architectures for reducing network congestion, enabling nearly-instant data mapping from the physical world to digital systems, and offering ubiquitous intelligence services to terrestrial users.
no code implementations • 1 Feb 2023 • Huan Huang, Ying Zhang, Hongliang Zhang, Yi Cai, A. Lee Swindlehurst, Zhu Han
A theoretical analysis of the proposed DIRS-based FPJ that provides an evaluation of the DIRS-based jamming attacks is derived.
no code implementations • 18 Jan 2023 • Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han
Furthermore, we propose a multi-task enhanced auction-based mechanism to match and price AVs and MARs for RSUs to provision real-time and effective services.
no code implementations • 15 Jan 2023 • Jingjing Zhao, YanBo Zhu, Kaiquan Cai, Zhen Gao, Zhu Han, Lajos Hanzo
To provide seamless coverage during all flight phases, aeronautical communications systems (ACS) have to integrate space-based, air-based, as well as ground-based platforms to formulate aviation-oriented space-air-ground integrated networks (SAGINs).
no code implementations • 26 Dec 2022 • Musbahu Mohammed Adam, Liqiang Zhao, Kezhi Wang, Zhu Han
In recent years, the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks.
no code implementations • 1 Dec 2022 • Jun Du, Bingqing Jiang, Chunxiao Jiang, Yuanming Shi, Zhu Han
To further improve the efficiency of wireless data aggregation and model learning, over-the-air computation (AirComp) is emerging as a promising solution by using the superposition characteristics of wireless channels.
no code implementations • 25 Nov 2022 • Christina Chaccour, Walid Saad, Merouane Debbah, Zhu Han, H. Vincent Poor
In this tutorial, we present the first rigorous vision of a scalable end-to-end semantic communication network that is founded on novel concepts from artificial intelligence (AI), causal reasoning, and communication theory.
no code implementations • 23 Nov 2022 • Pengfei Yi, Lipeng Zhu, Zhenyu Xiao, Rui Zhang, Zhu Han, Xiang-Gen Xia
Based on the proposed channel model, we formulate the joint optimization problem of UAV three-dimensional (3-D) positioning and resource allocation, by power allocation, user association, and subcarrier allocation, to maximize the minimum achievable rate among users.
no code implementations • 18 Oct 2022 • Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, Zhu Han
Carbon emission markets can play a significant role in this transition by putting a price on carbon and giving electricity producers an incentive to reduce their emissions.
no code implementations • 17 Oct 2022 • Jian Shi, Dan Wang, Chenye Wu, Zhu Han
The retirement of unabated coal power plants, the plummeting cost of renewable energy technologies, along with more aggressive public policies and regulatory reforms, are occurring at an unprecedented speed to decarbonize the power and energy systems towards the 2030 and 2050 climate goals.
no code implementations • 25 Jul 2022 • Zhenyu Xiao, Tianqi Mao, Zhu Han, Xiang-Gen Xia
Precipitated by the technological innovations of the near-space platform stations (NSPS), the near space communication (NS-COM) network has emerged as an indispensable part of the next-generation space-air-ground integrated network (SAGIN) that facilitates ubiquitous coverage and broadband data transfer.
no code implementations • 25 Jul 2022 • Tianqi Mao, Leyi Zhang, Zhenyu Xiao, Zhu Han, Xiang-Gen Xia
Facilitated by rapid technological development of the near-space platform stations (NSPS), near-space communication (NS-COM) is envisioned to play a pivotal role in the space-air-ground integrated network for sixth-generation (6G) communications and beyond.
1 code implementation • 25 Jul 2022 • Zhenyu Xiao, Junyi Yang, Tianqi Mao, Chong Xu, Rui Zhang, Zhu Han, Xiang-Gen Xia
With the rapid development of satellite communication technologies, the space-based access network has been envisioned as a promising complementary part of the future 6G network.
no code implementations • 30 Jun 2022 • Rui Ding, Hao Zhang, Fuhui Zhou, Qihui Wu, Zhu Han
In order to tackle these problems, a novel data-and-knowledge dual-driven automatic modulation classification scheme based on radio frequency machine learning is proposed by exploiting the attribute features of different modulations.
no code implementations • 26 Jun 2022 • Jingzhi Hu, Hongliang Zhang, Boya Di, Zhu Han, H. Vincent Poor, Lingyang Song
However, to maximize the sensing accuracy, the structures of meta-IoT sensors need to be optimized considering their joint influence on sensing and transmission, which is challenging due to the high computational complexity in evaluating the influence, especially given a large number of sensors.
no code implementations • 29 May 2022 • Eyad Shtaiwi, Ahmed El Ouadrhiri, Majid Moradikia, Salma Sultana, Ahmed Abdelhadi, Zhu Han
In this paper, we propose a novel generative adversarial network (GAN)-based countermeasure approach to safeguard the DNN-based AMC systems against adversarial attack examples.
no code implementations • 27 May 2022 • Haoxin Wang, BaekGyu Kim, Jiang Xie, Zhu Han
In this paper, we design an edge-based energy-aware MAR system that enables MAR devices to dynamically change their configurations, such as CPU frequency, computation model size, and image offloading frequency based on user preferences, camera sampling rates, and available radio resources.
no code implementations • 13 May 2022 • Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot
Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing (RS) imaging has provided a significant amount of spatial and spectral information for the observation and analysis of the Earth's surface at a distance of data acquisition devices, such as aircraft, spacecraft, and satellite.
1 code implementation • IEEE Transactions on Cognitive Communications and Networking 2022 • Haoran Peng, Ang-Hsun Tsai, Li-Chun Wang, Zhu Han
Unmanned aerial vehicle (UAV) base stations (BSs) can help meet the dynamic traffic demand of flash mobile crowds, but user movements also pose a significant challenge on fast-tracking for avoiding service interruption.
no code implementations • 25 Feb 2022 • Haobo Zhang, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
To address this issue, we propose to use the reconfigurable intelligent surface (RIS) to improve the detection accuracy of radar systems due to its capability to customize channel conditions by adjusting its phase shifts, which is referred to as MetaRadar.
no code implementations • 15 Feb 2022 • Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham, Thanh Thi Nguyen, Zhu Han, Dong-Seong Kim
Many virtual environments with thousands of services and applications, from social networks to virtual gaming worlds, have been developed with immersive experience and digital transformation, but most are incoherent instead of being integrated into a platform.
no code implementations • 3 Feb 2022 • Peiying Zhang, Chao Wang, Chunxiao Jiang, Zhu Han
Therefore, we propose a FL algorithm assisted by DRL, which can take into account the privacy and efficiency of data training of IIoT equipment.
no code implementations • 9 Jan 2022 • Tao Niu, Yinglei Teng, Zhu Han, Panpan Zou
Recently, the applications of deep neural network (DNN) have been very prominent in many fields such as computer vision (CV) and natural language processing (NLP) due to its superior feature extraction performance.
no code implementations • 13 Dec 2021 • Ruoqi Deng, Boya Di, Hongliang Zhang, Dusit Niyato, Zhu Han, H. Vincent Poor, Lingyang Song
Future wireless communications look forward to constructing a ubiquitous intelligent information network with high data rates through cost-efficient devices.
no code implementations • 12 Oct 2021 • Pengfei Yi, Liang Zhu, Lipeng Zhu, Zhenyu Xiao, Zhu Han, Xiang-Gen Xia
To improve communication capacity, we first model the blockage effect caused by buildings according to the three-dimensional (3-D) geographic information.
no code implementations • 14 Aug 2021 • Jingzhi Hu, Hongliang Zhang, Kaigui Bian, Zhu Han, H. Vincent Poor, Lingyang Song
Semantic segmentation is a process of partitioning an image into multiple segments for recognizing humans and objects, which can be widely applied in scenarios such as healthcare and safety monitoring.
2 code implementations • 7 Jul 2021 • Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot
Hyperspectral (HS) images are characterized by approximately contiguous spectral information, enabling the fine identification of materials by capturing subtle spectral discrepancies.
no code implementations • 6 Jul 2021 • Chu Li, Aydin Sezgin, Zhu Han
In this work, we study the impact of the multiplicative phase noise in an IRS-assisted system.
no code implementations • 30 Jun 2021 • Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han
Alternating direction method of multipliers (ADMM) has a structure that allows for decentralized implementation, and has shown faster convergence than gradient descent based methods.
no code implementations • 20 Jun 2021 • Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
Then, we convert the MAMAB to a max-min bipartite matching problem at each communication round, by estimating rewards with the upper confidence bound (UCB) approach.
no code implementations • 20 Jun 2021 • Wenlu Xuan, Zhongqi Zhao, Lei Fan, Zhu Han
There are vast service chains in NFV to meet users' requests, which are composed of a sequence of network functions.
no code implementations • 8 Mar 2021 • Hongliang Zhang, Lingyang Song, Zhu Han, H. Vincent Poor
Reconfigurable intelligent surfaces (RISs), which enable tunable anomalous reflection, have appeared as a promising method to enhance wireless systems.
Information Theory Information Theory
no code implementations • 24 Feb 2021 • Latif U. Khan, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong
Therefore, enabling IoE applications over 6G requires a new framework that can be used to manage, operate, and optimize the 6G wireless system and its underlying IoE services.
Edge-computing Networking and Internet Architecture
no code implementations • 29 Jan 2021 • Yibing Wang, Hao Wu, Yong Niu, Zhu Han, Bo Ai, Zhangdui Zhong
We evaluate the proposed scheme by extensive simulations in mmWave vehicular networks.
Fairness Information Theory Networking and Internet Architecture Information Theory
no code implementations • 18 Jan 2021 • Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor
Focusing on this problem, we explore the impact of lazy clients on the learning performance of BLADE-FL, and characterize the relationship among the optimal K, the learning parameters, and the proportion of lazy clients.
no code implementations • 22 Dec 2020 • Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han
Recent advances in machine learning, wireless communication, and mobile hardware technologies promisingly enable federated learning (FL) over massive mobile edge devices, which opens new horizons for numerous intelligent mobile applications.
no code implementations • 2 Dec 2020 • Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor
The proposed BLADE-FL has a good performance in terms of privacy preservation, tamper resistance, and effective cooperation of learning.
no code implementations • 1 Dec 2020 • Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong
Therefore, we need to design a robust learning mechanism than the FL that (i) unleashes a viable infrastructure for FA and (ii) trains learning models with better generalization capability.
no code implementations • 26 Nov 2020 • Haoxin Wang, BaekGyu Kim, Jiang Xie, Zhu Han
In order to accurately measure the energy consumption on the smartphone and obtain the breakdown of energy consumed by each phase of the object detection processing pipeline, we propose a new measurement strategy.
1 code implementation • 25 Nov 2020 • Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Federated Learning is a new learning scheme for collaborative training a shared prediction model while keeping data locally on participating devices.
no code implementations • 25 Nov 2020 • Jingzhi Hu, Hongliang Zhang, Kaigui Bian, Marco Di Renzo, Zhu Han, Lingyang Song
To tackle this challenge, we formulate an optimization problem for minimizing the cross-entropy loss of the sensing outcome, and propose a deep reinforcement learning algorithm to jointly compute the optimal beamformer patterns and the mapping of the received signals.
no code implementations • 18 Nov 2020 • Haobo Zhang, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
As the RIS is able to customize the radio channels by adjusting the phase shifts of the signals reflected at the surface, the localization accuracy in the RIS aided scheme can be improved by choosing the proper phase shifts with significant differences of RSS values among adjacent locations.
no code implementations • 2 Nov 2020 • Shuhang Zhang, Hongliang Zhang, Boya Di, Yunhua Tan, Marco Di Renzo, Zhu Han, H. Vincent Poor, Lingyang Song
Intelligent reflecting surface (IRS), which is capable to adjust propagation conditions by controlling phase shifts of the reflected waves that impinge on the surface, has been widely analyzed for enhancing the performance of wireless systems.
no code implementations • 28 Sep 2020 • Latif U. Khan, Walid Saad, Zhu Han, Ekram Hossain, Choong Seon Hong
However, given the presence of massively distributed and private datasets, it is challenging to use classical centralized learning algorithms in the IoT.
Networking and Internet Architecture
no code implementations • 26 Sep 2020 • Haoxin Wang, Tingting Liu, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi, Jiang Xie, Zhu Han
These requirements ask for a well-designed computing architecture to support the Quality-of-Service (QoS) of CV applications.
Networking and Internet Architecture
no code implementations • 22 Sep 2020 • Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong
In this paper, we consider a FL system that involves one base station (BS) and multiple mobile users.
no code implementations • 20 Sep 2020 • Chuan Ma, Jun Li, Ming Ding, Long Shi, Taotao Wang, Zhu Han, H. Vincent Poor
Motivated by the explosive computing capabilities at end user equipments, as well as the growing privacy concerns over sharing sensitive raw data, a new machine learning paradigm, named federated learning (FL) has emerged.
Networking and Internet Architecture
no code implementations • 15 Sep 2020 • Shuhang Zhang, Hongliang Zhang, Boya Di, Yunhua Tan, Zhu Han, Lingyang Song
In this paper, we study an intelligent omni-surface (IOS)-assisted downlink communication system, where the link quality of a mobile user (MU) can be improved with a proper IOS phase shift design.
Signal Processing
no code implementations • 15 Sep 2020 • Yujie Jin, Hongliang Zhang, Shuhang Zhang, Zhu Han, Lingyang Song
To minimize the overall completion time for all the sensing tasks, we formulate a joint trajectory, sensing location, and sensing time optimization problem.
no code implementations • 15 Sep 2020 • Mohamed A. ElMossallamy, Hongliang Zhang, Radwa Sultan, Karim G. Seddik, Lingyang Song, Geoffery Ye Li, Zhu Han
We consider an uplink multi-user scenario and investigate the use of reconfigurable intelligent surfaces (RIS) to optimize spatial multiplexing performance when a linear receiver is used.
no code implementations • 12 Aug 2020 • Latif U. Khan, Walid Saad, Zhu Han, Choong Seon Hong
However, federated learning still has privacy concerns due to sensitive information inferring capability of the aggregation server using end-devices local learning models.
Distributed, Parallel, and Cluster Computing
no code implementations • 6 Aug 2020 • Haobo Zhang, Jingzhi Hu, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
However, in MetaRadar, it is challenging to build radio maps for all the radio environments generated by metamaterial units and select suitable maps from all the possible maps to realize a high accuracy localization.
no code implementations • 2 Aug 2020 • Mahsa Lotfollahi, Nguyen Tran, Sebastian Berisha, Chalapathi Gajjela, Zhu Han, David Mayerich, Rohith Reddy
Minfrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology.
no code implementations • 21 Jul 2020 • Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han
With the advancement in technology and the expansion of broadcasting, cross-media retrieval has gained much attention.
no code implementations • 10 Jul 2020 • Haobo Zhang, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
The received signal strength (RSS) based technique is widely utilized for ubiquitous positioning due to its advantage of simple implementability.
no code implementations • 28 May 2020 • Jinglin Zhang, Wenjun Xu, Hui Gao, Miao Pan, Zhu Han, Ping Zhang
Aiming to address the beam tracking difficulties, we propose to integrate the conformal array (CA) with the surface of each UAV, which enables the full spatial coverage and the agile beam tracking in highly dynamic UAV mmWave networks.
no code implementations • 2 May 2020 • Mohamed A. ElMossallamy, Hongliang Zhang, Lingyang Song, Karim G. Seddik, Zhu Han, Geoffrey Ye Li
Recently there has been a flurry of research on the use of reconfigurable intelligent surfaces (RIS) in wireless networks to create smart radio environments.
1 code implementation • 30 Mar 2020 • Wenbo Wang, Amir Leshem, Dusit Niyato, Zhu Han
We study a decentralized channel allocation problem in an ad-hoc Internet of Things network underlaying on the spectrum licensed to a primary cellular network.
no code implementations • 15 Mar 2020 • Nguyen Tran, Rupali Mankar, David Mayerich, Zhu Han
Hyperspectral imaging provides superior material specificity, while multispectral images are faster to collect at greater fidelity.
no code implementations • 21 Feb 2020 • Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran, Zhu Han, Eui-Nam Huh, Choong Seon Hong
First, we formulate an optimization problem considering the conditional value-at-risk (CVaR) measurement for both energy consumption and generation, where the objective is to minimize the expected residual of scheduled energy for the MEC networks and we show this problem is an NP-hard problem.
no code implementations • 21 Feb 2020 • Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran, Zhu Han, Choong Seon Hong
First, we formulate an energy-efficient trajectory optimization problem in which the objective is to maximize the energy efficiency by optimizing the UAV-BS trajectory policy.
no code implementations • 14 Feb 2020 • Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Derek Leong, Ping Wang, Zhu Han
For service bundles, the subscription fee and data sizes of the grouped IoT services are optimized to maximize the total profit of cooperative service providers.
no code implementations • 6 Nov 2019 • Latif U. Khan, Nguyen H. Tran, Shashi Raj Pandey, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong
IoT devices with intelligence require the use of effective machine learning paradigms.
Distributed, Parallel, and Cluster Computing
no code implementations • 25 Sep 2019 • Haoran Peng, Chao Chen, Chuan-Chi Lai, Li-Chun Wang, Zhu Han
In this paper, we propose a system framework consisting of UEs clustering, UAV-BS placement, UEs trajectories prediction, and UAV-BS reposition matching scheme, to serve the UEs seamlessly as well as minimize the energy cost of UAV-BSs' reposition trajectories.
no code implementations • 13 May 2019 • Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han
In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather.
no code implementations • 9 Apr 2019 • Tong Shen, Tingting Liu, Yan Lin, Yongpeng Wu, Feng Shu, Zhu Han
Proposed regional robust schemes are designed for optimizing the secrecy performance in the whole error region around the estimated location.
3 code implementations • 29 Mar 2018 • Xiaoyuan Liang, Xunsheng Du, Guiling Wang, Zhu Han
In terms of how to dynamically adjust traffic signals' duration, existing works either split the traffic signal into equal duration or extract limited traffic information from the real data.
no code implementations • 23 Feb 2016 • Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han
The proliferation of mobile devices, such as smartphones and Internet of Things (IoT) gadgets, results in the recent mobile big data (MBD) era.
no code implementations • 16 Oct 2014 • Erte Pan, Zhu Han
In this paper, we present an infinite hierarchical non-parametric Bayesian model to extract the hidden factors over observed data, where the number of hidden factors for each layer is unknown and can be potentially infinite.