Search Results for author: Yue Xiao

Found 17 papers, 0 papers with code

Optimizing Radio Access Technology Selection and Precoding in CV-Aided ISAC Systems

no code implementations14 Oct 2024 Yulan Gao, Ziqiang Ye, Ming Xiao, Yue Xiao

Integrated Sensing and Communication (ISAC) systems promise to revolutionize wireless networks by concurrently supporting high-resolution sensing and high-performance communication.

GNSS Interference Classification Using Federated Reservoir Computing

no code implementations23 Aug 2024 Ziqiang Ye, Yulan Gao, Xinyue Liu, Yue Xiao, Ming Xiao, Saviour Zammit

The expanding use of Unmanned Aerial Vehicles (UAVs) in vital areas like traffic management, surveillance, and environmental monitoring highlights the need for robust communication and navigation systems.

Classification Management

CA-FedRC: Codebook Adaptation via Federated Reservoir Computing in 5G NR

no code implementations8 Jul 2024 Ziqiang Ye, Sikai Liao, Yulan Gao, Shu Fang, Yue Xiao, Ming Xiao, Saviour Zammit

With the burgeon deployment of the fifth-generation new radio (5G NR) networks, the codebook plays a crucial role in enabling the base station (BS) to acquire the channel state information (CSI).

Federated Transfer Learning Aided Interference Classification in GNSS Signals

no code implementations23 Jun 2024 Min Jiang, Ziqiang Ye, Yue Xiao, Xiaogang Gou

This study delves into the classification of interference signals to global navigation satellite systems (GNSS) stemming from mobile jammers such as unmanned aerial vehicles (UAVs) across diverse wireless communication zones, employing federated learning (FL) and transfer learning (TL).

Classification Federated Learning +1

Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network

no code implementations Energy Res 2024 Hongyi Li, Shenhao Li, Yuxin Wu, Yue Xiao, Zhichong Pan, Min Liu

In the context of Integrated Energy System (IES), accurate short-term power demand forecasting is crucial for ensuring system reliability, optimizing operational efficiency through resource allocation, and supporting effective real-time decision-making in energy management.

Demand Forecasting energy management +1

Sensing-Resistance-Oriented Beamforming for Privacy Protection from ISAC Devices

no code implementations8 Apr 2024 Teng Ma, Yue Xiao, Xia Lei, Ming Xiao

Specifically, we expect to guarantee the communication quality while masking the real direction of the SR transmitter during the communication.

Privacy Preserving

Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems

no code implementations19 Jan 2024 Ziqiaing Ye, Yulan Gao, Yue Xiao, Zehui Xiong, Dusit Niyato

In this context, we propose Dynamic Activity-Aware Health Monitoring strategy (DActAHM) for striking a balance between optimal monitoring performance and cost efficiency, a novel framework based on Deep Reinforcement Learning (DRL) and SlowFast Model to ensure precise monitoring based on users' activities.

Deep Reinforcement Learning reinforcement-learning

Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks

no code implementations19 Jul 2023 Yulan Gao, Ziqiang Ye, Yue Xiao, Wei Xiang

These methods are designed to minimize the cost incurred by the worst-case participant and ensure the long-term fairness of FL in hierarchical Internet of Things (HieIoT) networks.

Fairness Federated Learning +1

Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing

no code implementations26 Jun 2023 Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, Dusit Niyato

We develop cost-effective designs for both task offloading mode selection and resource allocation, subject to the individual link latency constraint guarantees for mobile devices, while satisfying the required success ratio for their computation tasks.

Decision Making Deep Reinforcement Learning +1

Design of Reconfigurable Intelligent Surface-Aided Cross-Media Communications

no code implementations5 Nov 2022 Mingming Wu, Yue Xiao, Yulan Gao, Ming Xiao

A novel reconfigurable intelligent surface (RIS)-aided hybrid reflection/transmitter design is proposed for achieving information exchange in cross-media communications.

Management

Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles

no code implementations1 Nov 2022 Yulan Gao, Yue Xiao, Xianfu Lei, Qiaonan Zhu, Dusit Niyato, Kai-Kit Wong, Pingzhi Fan, Rose Qingyang Hu

Specifically, we commence with a comprehensive introduction of RIS pricing with its potential applications in RIS networks, meanwhile the fundamentals of pricing models are summarized in order to benefit both RIS holders and WSPs.

Multi-Resource Allocation for On-Device Distributed Federated Learning Systems

no code implementations1 Nov 2022 Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato

This work poses a distributed multi-resource allocation scheme for minimizing the weighted sum of latency and energy consumption in the on-device distributed federated learning (FL) system.

Federated Learning

Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images

no code implementations22 Jan 2022 Siyan Li, Yue Xiao, Yuhang Zhang, Lei Chu, Robert C. Qiu

It is a challenging problem to detect and recognize targets on complex large-scene Synthetic Aperture Radar (SAR) images.

Diversity object-detection +1

Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications

no code implementations18 Dec 2020 Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao

This paper investigates an intelligent reflecting surface (IRS) aided cooperative communication network, where the IRS exploits large reflecting elements to proactively steer the incident radio-frequency wave towards destination terminals (DTs).

Fully Decentralized Federated Learning Based Beamforming Design for UAV Communications

no code implementations27 Jul 2020 Yue Xiao, Yu Ye, Shaocheng Huang, Li Hao, Zheng Ma, Ming Xiao, Shahid Mumtaz

To handle the data explosion in the era of internet of things (IoT), it is of interest to investigate the decentralized network, with the aim at relaxing the burden to central server along with keeping data privacy.

Signal Processing

Basis Signal Optimization for N-Continuous OFDM

no code implementations28 Dec 2018 Peng Wei, Yue Xiao, Wei Xiang

A novel basis signal optimization method is proposed for reducing the interference in the N-continuous orthogonal frequency division multiplexing (NC-OFDM) system.

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