Search Results for author: J. Andrew Zhang

Found 34 papers, 1 papers with code

Heuristic Solution to Joint Deployment and Beamforming Design for STAR-RIS Aided Networks

no code implementations14 Apr 2024 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang

This paper tackles the deployment challenges of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) in communication systems.

Interference Management for Full-Duplex ISAC in B5G/6G Networks: Architectures, Challenges, and Solutions

no code implementations9 Apr 2024 Aimin Tang, Xudong Wang, J. Andrew Zhang

In this article, we provide an overview of full-duplex ISAC (FD-ISAC), where a full-duplex radio is used for both wireless sensing and full-duplex communications in B5G/6G networks, with a focus on the fundamental interference management problem in such networks.

Management

Performance Bounds for Passive Sensing in Asynchronous ISAC Systems -- Appendices

no code implementations9 Mar 2024 Jingbo Zhao, Zhaoming Lu, J. Andrew Zhang, Weicai Li, Yifeng Xiong, Zijun Han, Xiangming Wen, Tao Gu

This document contains the appendices for our paper titled ``Performance Bounds for Passive Sensing in Asynchronous ISAC Systems."

Anchor-points Assisted Uplink Sensing in Perceptive Mobile Networks

no code implementations17 Jan 2024 Yanmo Hu, J. Andrew Zhang, Weibo Deng, Y. Jay Guo

The estimates from the first algorithm are then used to compensate for the offsets and generate the angle-Doppler maps.

Sensing Aided Uplink Transmission in OTFS ISAC with Joint Parameter Association, Channel Estimation and Signal Detection

no code implementations19 May 2023 Xi Yang, Hang Li, Qinghua Guo, J. Andrew Zhang, Xiaojing Huang, Zhiqun Cheng

In this work, we study sensing-aided uplink transmission in an integrated sensing and communication (ISAC) vehicular network with the use of orthogonal time frequency space (OTFS) modulation.

Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion

no code implementations20 Apr 2023 Yingqi Wang, Zhongqin Wang, J. Andrew Zhang, Haimin Zhang, Min Xu

Contact-free vital sign monitoring, which uses wireless signals for recognizing human vital signs (i. e, breath and heartbeat), is an attractive solution to health and security.

Joint Beamforming for RIS-Assisted Integrated Sensing and Communication Systems

no code implementations3 Mar 2023 Yongqing Xu, Yong Li, J. Andrew Zhang, Marco Di Renzo, Tony Q. S. Quek

However, due to multiple performance metrics used for communication and sensing, the limited degrees-of-freedom (DoF) in optimizing ISAC systems poses a challenge.

Air-Ground Integrated Sensing and Communications: Opportunities and Challenges

no code implementations13 Feb 2023 Zesong Fei, Xinyi Wang, Nan Wu, Jingxuan Huang, J. Andrew Zhang

The air-ground integrated sensing and communications (AG-ISAC) network, which consists of unmanned aerial vehicles (UAVs) and ground terrestrial networks, offers unique capabilities and demands special design techniques.

Practical Frequency-Hopping MIMO Joint Radar Communications: Design and Experiment

no code implementations27 Jan 2023 Jiangtao Liu, Kai Wu, Tao Su, J. Andrew Zhang

Joint radar and communications (JRC) can realize two radio frequency (RF) functions using one set of resources, greatly saving hardware, energy and spectrum for wireless systems needing both functions.

Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink

no code implementations21 Aug 2022 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Lajos Hanzo

We then exploit its beneficial properties for substantially simplifying the joint user and beam selection problem.

Green Joint Communications and Sensing Employing Analog Multi-Beam Antenna Arrays

no code implementations21 Aug 2022 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Robert W. Heath Jr., Y. Jay Guo

Most existing JCAS designs are based on digital arrays, analog arrays with tunable phase shifters, or hybrid arrays, which are effective but are generally complicated to design and power inefficient.

Joint Communications and Sensing Employing Optimized MIMO-OFDM Signals

no code implementations21 Aug 2022 Kai Wu, J. Andrew Zhang, Zhitong Ni, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen

We establish an optimization problem that modifies data symbols on sub-carriers to enhance the above-mentioned signal orthogonality.

Frequency Hopping Joint Radar-Communications with Hybrid Sub-pulse Frequency and Duration

no code implementations26 Apr 2022 Linh Manh Hoang, J. Andrew Zhang, Diep N. Nguyen, Dinh Thai Hoang

Frequency-hopping (FH) joint radar-communications (JRC) can offer excellent security for integrated sensing and communication systems.

Integration of Radar Sensing into Communications with Asynchronous Transceivers

no code implementations30 Mar 2022 J. Andrew Zhang, Kai Wu, Xiaojing Huang, Y. Jay Guo, Daqing Zhang, Robert W. Heath Jr

Clock asynchronism is a critical issue in integrating radar sensing into communication networks.

Fast and Accurate Linear Fitting for Incompletely Sampled Gaussian Function With a Long Tail

no code implementations15 Mar 2022 Kai Wu, J. Andrew Zhang, Y. Jay Guo

Fitting experiment data onto a curve is a common signal processing technique to extract data features and establish the relationship between variables.

Multiple Correlated Jammers Nullification using LSTM-based Deep Dueling Neural Network

no code implementations8 Feb 2022 Linh Manh Hoang, Diep N. Nguyen, J. Andrew Zhang, Dinh Thai Hoang

Specifically, recent studies reveal that by deliberately varying the correlations among jamming signals, attackers can effectively vary the jamming channels and thus their nullspace, even when the physical channels remain unchanged.

Q-Learning

OTFS-Based Joint Communication and Sensing for Future Industrial IoT

no code implementations6 Nov 2021 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo

To meet the ever-increasing demands on better wireless communications for IIoT, we propose an orthogonal time-frequency space (OTFS) waveform-based joint communication and radio sensing (JCAS) scheme -- an energy-efficient solution for not only reliable communications but also high-accuracy sensing.

Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm

no code implementations19 Sep 2021 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao

To investigate the number and distribution of local optima, we conduct a fitness landscape analysis on the sum rate maximization problems.

Integrating Low-Complexity and Flexible Sensing into Communication Systems

no code implementations9 Sep 2021 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo

Extensive simulations validate the superiority of the proposed sensing framework over prior methods in terms of signal-to-IN ratios in RDMs, detecting performance and flexibility.

Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation

no code implementations14 Jun 2021 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao

We formulate a multiobjective off-grid DOA estimation model to realize this idea, by which the source number can be automatically identified together with DOA estimation.

Direction of Arrival Estimation

Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order

no code implementations14 Jun 2021 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao

To overcome the above shortcomings of relaxation, we propose a novel idea of simultaneously estimating the frequencies and model order by means of the atomic $l_0$ norm.

Multiobjective Optimization

A Low-Complexity Method for FFT-based OFDM Sensing

no code implementations28 May 2021 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo

OFDM sensing is gaining increasing popularity in wideband radar applications as well as in joint communication and radar/radio sensing (JCAS).

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

1 code implementation25 Feb 2021 J. Andrew Zhang, Fan Liu, Christos Masouros, Robert W. Heath Jr., Zhiyong Feng, Le Zheng, Athina Petropulu

Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typical case, sharing a single transmitted signal.

Uplink Sensing in Perceptive Mobile Networks with Asynchronous Transceivers

no code implementations18 Nov 2020 Zhitong Ni, J. Andrew Zhang, Xiaojing Huang, Kai Yang, Jinhong Yuan

We first adopt a cross-antenna cross-correlation (CACC) operation to remove the sensing ambiguity associated with both TOs and CFOs.

Frequency-Hopping MIMO Radar-Based Communications: An Overview

no code implementations19 Oct 2020 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo

Enabled by the advancement in radio frequency technologies, the convergence of radar and communication systems becomes increasingly promising and is envisioned as a key feature of future 6G networks.

Waveform Design and Accurate Channel Estimation for Frequency-Hopping MIMO Radar-Based Communications

no code implementations29 Sep 2020 Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Robert W. Heath Jr

In this paper, we develop accurate methods for a single-antenna communication receiver to estimate timing offset and channel for FH-MIMO DFRC.

Tensor-based Multi-dimensional Wideband Channel Estimation for mmWave Hybrid Cylindrical Arrays

no code implementations10 Sep 2020 Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Ren Ping Liu

Channel estimation is challenging for hybrid millimeter wave (mmWave) large-scale antenna arrays which are promising in 5G/B5G applications.

Signal Processing

Nested Hybrid Cylindrical Array Design and DoA Estimation for Massive IoT Networks

no code implementations20 Jul 2020 Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Ren Ping Liu

As a result, only a small number of RF chains are required to preserve the DoF of the UCyA.

Enabling Joint Communication and Radar Sensing in Mobile Networks -- A Survey

no code implementations13 Jun 2020 J. Andrew Zhang, Md Lushanur Rahman, Kai Wu, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen, Jinhong Yuan

We then introduce a framework of PMN, including the system platform and infrastructure, three types of sensing operations, and signals usable for sensing.

Information Retrieval Philosophy

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