Search Results for author: Derrick Wing Kwan Ng

Found 42 papers, 8 papers with code

DRL-Based Orchestration of Multi-User MISO Systems with Stacked Intelligent Metasurfaces

no code implementations14 Feb 2024 Hao liu, Jiancheng An, Derrick Wing Kwan Ng, George C. Alexandropoulos, Lu Gan

Stacked intelligent metasurfaces (SIM) represents an advanced signal processing paradigm that enables over-the-air processing of electromagnetic waves at the speed of light.

Integrated Sensing, Communication, and Powering (ISCAP): Towards Multi-functional 6G Wireless Networks

no code implementations7 Jan 2024 Yilong Chen, Zixiang Ren, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Shuguang Cui

Specifically, a multi-functional base station (BS) can enable multi-functional transmission, by exploiting the same radio signals to perform target/environment sensing, wireless communication, and wireless power transfer (WPT), simultaneously.

Management

Optimal BER Minimum Precoder Design for OTFS-Based ISAC Systems

no code implementations19 Dec 2023 Jun Wu, Weijie Yuan, Zhiqiang Wei, Jinjin Yan, Derrick Wing Kwan Ng

This paper investigates the bit error rate (BER) minimum pre-coder design for an orthogonal time frequency space (OTFS)-based integrated sensing and communications (ISAC) system, which is considered as a promising technique for enabling future wireless networks.

Fully-Passive versus Semi-Passive IRS-Enabled Sensing: SNR and CRB Comparison

no code implementations10 Nov 2023 Xianxin Song, Xinmin Li, Xiaoqi Qin, Jie Xu, Tony Xiao Han, Derrick Wing Kwan Ng

Accordingly, we analyze the sensing signal-to-noise ratio (SNR) performance for a target detection scenario and the estimation Cram\'er-Rao bound (CRB) performance for a target's direction-of-arrival (DoA) estimation scenario, in cases where the transmit beamforming at the BS and the reflective beamforming at the IRS are jointly optimized.

A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading

1 code implementation2 Sep 2023 Ruihuai Liang, Bo Yang, Zhiwen Yu, Xuelin Cao, Derrick Wing Kwan Ng, Chau Yuen

To improve the MEC performance, it is required to design an optimal offloading strategy that includes offloading decision (i. e., whether offloading or not) and computational resource allocation of MEC.

Edge-computing Multi-Task Learning

A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks

no code implementations22 Aug 2023 Fuhui Zhou, Rui Ding, Qihui Wu, Derrick Wing Kwan Ng, Kai-Kit Wong, Naofal Al-Dhahir

Simulation results demonstrate that our proposed framework can significantly improve the sum transmission rate of the secondary network compared to various benchmark schemes.

Communication-Efficient Framework for Distributed Image Semantic Wireless Transmission

no code implementations7 Aug 2023 Bingyan Xie, Yongpeng Wu, Yuxuan Shi, Derrick Wing Kwan Ng, Wenjun Zhang

Multi-node communication, which refers to the interaction among multiple devices, has attracted lots of attention in many Internet-of-Things (IoT) scenarios.

Federated Learning

Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems

no code implementations8 Jul 2023 Jiaqi Zou, Songlin Sun, Christos Masouros, Yuanhao Cui, Yafeng Liu, Derrick Wing Kwan Ng

In this paper, we investigate the design of energy-efficient beamforming for an ISAC system, where the transmitted waveform is optimized for joint multi-user communication and target estimation simultaneously.

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving

1 code implementation28 Jun 2023 Wei-Bin Kou, Shuai Wang, Guangxu Zhu, Bin Luo, Yingxian Chen, Derrick Wing Kwan Ng, Yik-Chung Wu

While federated learning (FL) improves the generalization of end-to-end autonomous driving by model aggregation, the conventional single-hop FL (SFL) suffers from slow convergence rate due to long-range communications among vehicles and cloud server.

Autonomous Driving Federated Learning

Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach

no code implementations28 Dec 2022 Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng

This paper investigates the orthogonal time frequency space (OTFS) transmission for enabling ultra-reliable low-latency communications (URLLC).

Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach

no code implementations23 Nov 2022 Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Robert Schober

With the proposed predictive approach, we can avoid full-scale CSI estimation and facilitate low-dimensional CE for transmit beamforming design such that the signaling overhead is reduced by a scale of $\frac{1}{N}$, where $N$ is the number of IRS elements.

Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks

no code implementations26 Sep 2022 Chang Liu, Xuemeng Liu, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng

Predictive beamforming design is an essential task in realizing high-mobility integrated sensing and communication (ISAC), which highly depends on the accuracy of the channel prediction (CP), i. e., predicting the angular parameters of users.

Grant-Free NOMA-OTFS Paradigm: Enabling Efficient Ubiquitous Access for LEO Satellite Internet-of-Things

no code implementations25 Sep 2022 Zhen Gao, Xingyu Zhou, Jingjing Zhao, Juan Li, Chunli Zhu, Chun Hu, Pei Xiao, Symeon Chatzinotas, Derrick Wing Kwan Ng, Bjorn Ottersten

With the blooming of Internet-of-Things (IoT), we are witnessing an explosion in the number of IoT terminals, triggering an unprecedented demand for ubiquitous wireless access globally.

Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO

no code implementations18 Sep 2022 Minghui Wu, Zhen Gao, Yang Huang, Zhenyu Xiao, Derrick Wing Kwan Ng, Zhaoyang Zhang

Then, to acquire accurate CSI at the BS for the investigated RSMA precoding scheme to achieve higher spectral efficiency, we propose a CSI acquisition network (CAN) with low pilot and feedback signaling overhead, where the downlink pilot transmission, CSI feedback at the user equipments (UEs), and CSI reconstruction at the BS are modeled as an end-to-end neural network based on Transformer.

On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels

no code implementations1 Sep 2022 Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng, Le-Nam Tran

Security and energy efficiency have become crucial features in the modern-era wireless communication.

Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection

no code implementations16 Aug 2022 Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo

Integrated sensing and communication (ISAC) represents a paradigm shift, where previously competing wireless transmissions are jointly designed to operate in harmony via the shared use of the hardware platform for improving the spectral and energy efficiencies.

Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics

1 code implementation4 Aug 2022 Renjie Xie, Wei Xu, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst

Deep learning (DL) applied to a device's radio-frequency fingerprint~(RFF) has attracted significant attention in physical-layer authentication due to its extraordinary classification performance.

Data Augmentation Representation Learning

Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning

no code implementations11 Jun 2022 Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng

Then, by associating the data sequences to multiple rank-one tensors and exploiting the angular sparsity of the RIS-BS channel, the detection problem is cast as a high-order coupled tensor decomposition problem without the need of exploiting pilot sequences.

Tensor Decomposition Variational Inference

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

1 code implementation3 Jun 2022 Shuai Wang, Chengyang Li, Derrick Wing Kwan Ng, Yonina C. Eldar, H. Vincent Poor, Qi Hao, Chengzhong Xu

However, it is challenging to determine the network resources and road sensor placements for multi-stage training with multi-modal datasets in multi-variant scenarios.

Federated Learning Management

Secure Communication in Multifunctional Active Intelligent Reflection Surface-assisted Systems

no code implementations5 May 2022 Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan

In this paper, the secure performance of multiuser multiple-input single-output wireless communications systems assisted by a multifunctional active intelligent reflection surface (IRS) is investigated.

Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization

no code implementations31 Aug 2021 Shuai Wang, Dachuan Li, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng

Wireless federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications.

Federated Learning

Learning-based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks

no code implementations26 Aug 2021 Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng, Yonghui Li

Specifically, the convolution and LSTM modules are successively adopted in the proposed HCL-Net to exploit the spatial and temporal dependencies of communication channels to further improve the learning performance.

A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication

1 code implementation10 Aug 2021 Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst

To enable the discrimination of RFF from both known and unknown devices, we propose a new end-to-end deep learning framework for extracting RFFs from raw received signals.

Inductive Bias

LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?

no code implementations18 Jun 2021 Shicong Liu, Zhen Gao, Yongpeng Wu, Derrick Wing Kwan Ng, Xiqi Gao, Kai-Kit Wong, Symeon Chatzinotas, Bjorn Ottersten

The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises.

Integrated Sensing and Communication-assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks

no code implementations7 May 2021 Weijie Yuan, Zhiqiang Wei, Shuangyang Li, Jinhong Yuan, Derrick Wing Kwan Ng

Benefiting from the OTFS-ISAC signals, the roadside unit (RSU) is capable of simultaneously transmitting downlink information to the vehicles and estimating the sensing parameters of vehicles, e. g., locations and speeds, based on the reflected echoes.

Hybrid Relay-Reflecting Intelligent Surface-Aided Wireless Communications: Opportunities, Challenges, and Future Perspectives

no code implementations5 Apr 2021 Nhan Thanh Nguyen, Jiguang He, Van-Dinh Nguyen, Henk Wymeersch, Derrick Wing Kwan Ng, Robert Schober, Symeon Chatzinotas, Markku Juntti

In this paper, we provide an overview of a hybrid relay-reflecting intelligent surface (HR-RIS) architecture, in which only a few elements are active and connected to power amplifiers and radio frequency chains.

Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks

no code implementations2 Mar 2021 Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini

According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint.

Information Theory Signal Processing Information Theory

Edge Federated Learning Via Unit-Modulus Over-The-Air Computation

1 code implementation28 Jan 2021 Shuai Wang, Yuncong Hong, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng

Simulation results show that the proposed UMAirComp framework with PAM algorithm achieves a smaller mean square error of model parameters' estimation, training loss, and test error compared with other benchmark schemes.

Autonomous Driving Federated Learning

Off-grid Channel Estimation with Sparse Bayesian Learning for OTFS Systems

no code implementations14 Jan 2021 Zhiqiang Wei, Weijie Yuan, Shuangyang Li, Jinhong Yuan, Derrick Wing Kwan Ng

OTFS channel estimation is first formulated as a one-dimensional (1D) off-grid sparse signal recovery (SSR) problem based on a virtual sampling grid defined in the DD space, where the on-grid and off-grid components of the delay and Doppler shifts are separated for estimation.

Information Theory Information Theory

Physical Layer Security Enhancement With Reconfigurable Intelligent Surface-Aided Networks

no code implementations1 Dec 2020 Jiayi Zhang, Hongyang Du, Qiang Sun, Derrick Wing Kwan Ng, Bo Ai

Reconfigurable intelligent surface (RIS)-aided wireless communications have drawn significant attention recently.

Information Theory Signal Processing Information Theory

Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems

1 code implementation1 Dec 2020 Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan

Channel estimation is of great importance in realizing practical intelligent reflecting surface-assisted multi-user communication (IRS-MC) systems.

Denoising

Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications

no code implementations10 Nov 2020 Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang

Existing tag signal detection algorithms inevitably suffer from a high bit error rate (BER) due to the difficulties in estimating the channel state information (CSI).

TAG Transfer Learning

A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence

no code implementations19 Oct 2020 Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst

On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference.

Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach

no code implementations16 Sep 2020 Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng

Unmanned aerial vehicle (UAV)-assisted communication becomes a promising technique to realize the beyond fifth generation (5G) wireless networks, due to the high mobility and maneuverability of UAVs which can adapt to heterogeneous requirements of different applications.

Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications

no code implementations11 Sep 2020 Chang Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang

To eliminate the requirement of channel estimation and to improve the system performance, in this paper, we adopt a deep transfer learning (DTL) approach to implicitly extract the features of channel and directly recover tag symbols.

TAG Transfer Learning

Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications

1 code implementation3 Sep 2020 Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan

To this end, we first develop a versatile DReL-based channel estimation framework where a deep residual network (DRN)-based MMSE estimator is derived in terms of Bayesian philosophy.

Denoising Philosophy

Secrecy Performance for Finite-Alphabet Inputs Over Fluctuating Two-Ray Channels in FDA Communications

no code implementations11 Jun 2020 Chongjun Ouyang, Sheng Wu, Chunxiao Jiang, Derrick Wing Kwan Ng, Hongwen Yang

To provide system design insights for practical communication systems equipped with the frequency diverse array (FDA), this paper investigates the secrecy performance of FDA systems exploiting finite-alphabet inputs over fluctuating two-ray (FTR) fading channels.

Hybrid Beamforming for Massive MIMO Over-the-Air Computation

no code implementations8 Jun 2020 Xiongfei Zhai, Xihan Chen, Jie Xu, Derrick Wing Kwan Ng

It is shown that for the special case with a fully-digital receiver at the AP, the achieved MSE of the massive MIMO AirComp system is inversely proportional to the number of receive antennas.

Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS

no code implementations24 May 2020 Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Derrick Wing Kwan Ng, Jinhong Yuan

This paper investigates multiuser multi-input single-output (MISO) downlink communications assisted by a self-sustainable intelligent reflection surface (IRS), which can harvest power from the received signals.

Bayesian Predictive Beamforming for Vehicular Networks: A Low-overhead Joint Radar-Communication Approach

no code implementations15 May 2020 Weijie Yuan, Fan Liu, Christos Masouros, Jinhong Yuan, Derrick Wing Kwan Ng, Nuria Gonzalez-Prelcic

To accurately estimate the motion parameters of vehicles in real-time, we propose a novel message passing algorithm based on factor graph, which yields near optimal solution to the maximum a posteriori estimation.

Joint Radar-Communication

Cannot find the paper you are looking for? You can Submit a new open access paper.