Search Results for author: Weijie Yuan

Found 21 papers, 0 papers with code

Frame Structure and Protocol Design for Sensing-Assisted NR-V2X Communications

no code implementations27 Dec 2023 Yunxin Li, Fan Liu, Zhen Du, Weijie Yuan, Qingjiang Shi, Christos Masouros

In this study, we propose novel frame structures that incorporate ISAC signals for three crucial stages in the NR-V2X system: initial access, connected mode, and beam failure and recovery.

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.

From OTFS to DD-ISAC: Integrating Sensing and Communications in the Delay Doppler Domain

no code implementations26 Nov 2023 Weijie Yuan, Lin Zhou, Saeid K. Dehkordi, Shuangyang Li, Pingzhi Fan, Giuseppe Caire, H. Vincent Poor

The recently proposed Orthogonal Time Frequency Space (OTFS) modulation, which exploits various advantages of Delay Doppler (DD) channels, has been shown to support reliable communication in high-mobility scenarios.

Probabilistic Constellation Shaping for OFDM-Based ISAC Signaling

no code implementations27 Oct 2023 Zhen Du, Fan Liu, Yifeng Xiong, Tony Xiao Han, Weijie Yuan, Yuanhao Cui, Changhua Yao, Yonina C. Eldar

Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for the upcoming sixth-generation wireless communication systems (6G).

When UAVs Meet ISAC: Real-Time Trajectory Design for Secure Communications

no code implementations25 Jun 2023 Jun Wu, Weijie Yuan, Lajos Hanzo

The real-time unmanned aerial vehicle (UAV) trajectory design of secure integrated sensing and communication (ISAC) is optimized.

Radar Sensing via OTFS Signaling

no code implementations20 Jun 2023 Kecheng Zhang, Zhongjie Li, Weijie Yuan, Yunlong Cai, Feifei Gao

By multiplexing information symbols in the delay-Doppler (DD) domain, orthogonal time frequency space (OTFS) is a promising candidate for future wireless communication in high-mobility scenarios.

Waveform Design for Communication-Assisted Sensing in 6G Perceptive Networks

no code implementations19 May 2023 Fuwang Dong, Fan Liu, Shihang Lu, Weijie Yuan, Yuanhao Cui, Yifeng Xiong, Feifei Gao

In particular, a pair of transmission schemes, namely, separated S&C and dual-functional waveform designs, are proposed to optimize the sensing QoS under the constraints of the rate-distortion and power budget.

Towards ISAC-Empowered Vehicular Networks: Framework, Advances, and Opportunities

no code implementations1 May 2023 Zhen Du, Fan Liu, Yunxin Li, Weijie Yuan, Yuanhao Cui, Zenghui Zhang, Christos Masouros, Bo Ai

Connected and autonomous vehicle (CAV) networks face several challenges, such as low throughput, high latency, and poor localization accuracy.

Joint Beam Scheduling and Power Allocation for SWIPT in Mixed Near- and Far-Field Channels

no code implementations17 Apr 2023 Yunpu Zhang, Changsheng You, Weijie Yuan, Fan Liu, Rui Zhang

Extremely large-scale array (XL-array) has emerged as a promising technology to enhance the spectrum efficiency and spatial resolution in future wireless networks, leading to a fundamental paradigm shift from conventional far-field communications towards the new near-field communications.

Scheduling

ISAC-Enabled V2I Networks Based on 5G NR: How Much Can the Overhead Be Reduced?

no code implementations30 Jan 2023 Yunxin Li, Fan Liu, Zhen Du, Weijie Yuan, Christos Masouros

The emergence of the fifth-generation (5G) New Radio (NR) brings additional possibilities to vehicle-to-everything (V2X) network with improved quality of services.

Management

Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

no code implementations24 Jan 2023 Kecheng Zhang, Weijie Yuan, Shuangyang Li, Fan Liu, Feifei Gao, Pingzhi Fan, Yunlong Cai

The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain.

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).

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.

Vehicular Connectivity on Complex Trajectories: Roadway-Geometry Aware ISAC Beam-tracking

no code implementations24 May 2022 Xiao Meng, Fan Liu, Christos Masouros, Weijie Yuan, Qixun Zhang, Zhiyong Feng

In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries.

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.

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.

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

Cross Domain Iterative Detection for Orthogonal Time Frequency Space Modulation

no code implementations11 Jan 2021 Shuangyang Li, Weijie Yuan, Zhiqiang Wei, Jinhong Yuan

Different from conventional OTFS detection methods, the proposed algorithm applies basic estimation/detection approaches to both the time domain and delay-Doppler (DD) domain and iteratively updates the extrinsic information from two domains with the unitary transformation.

Information Theory Information Theory

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.

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

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