Search Results for author:
Found 16 papers, 0 papers with code
Sensing in Bi-Static ISAC Systems with Clock Asynchronism: A Signal Processing Perspective
Integrated Sensing and Communications (ISAC) has been identified as a pillar usage scenario for the impending 6G era.
Anchor-points Assisted Uplink Sensing in Perceptive Mobile Networks
The estimates from the first algorithm are then used to compensate for the offsets and generate the angle-Doppler maps.
Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink
We then exploit its beneficial properties for substantially simplifying the joint user and beam selection problem.
Joint Communications and Sensing Employing Optimized MIMO-OFDM Signals
We establish an optimization problem that modifies data symbols on sub-carriers to enhance the above-mentioned signal orthogonality.
Green Joint Communications and Sensing Employing Analog Multi-Beam Antenna Arrays
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.
Integration of Radar Sensing into Communications with Asynchronous Transceivers
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
Fitting experiment data onto a curve is a common signal processing technique to extract data features and establish the relationship between variables.
OTFS-Based Joint Communication and Sensing for Future Industrial IoT
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.
Integrating Low-Complexity and Flexible Sensing into Communication Systems
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.
A Low-Complexity Method for FFT-based OFDM Sensing
OFDM sensing is gaining increasing popularity in wideband radar applications as well as in joint communication and radar/radio sensing (JCAS).
Accurate Frequency Estimation with Fewer DFT Interpolations based on Padé Approximation
Frequency estimation is a fundamental problem in many areas.
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach
This paper presents a novel and effective deep reinforcement learning (DRL)-based approach to addressing joint resource management (JRM) in a practical multi-carrier non-orthogonal multiple access (MC-NOMA) system, where hardware sensitivity and imperfect successive interference cancellation (SIC) are considered.
Frequency-Hopping MIMO Radar-Based Communications: An Overview
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.
Integrating Secure and High-Speed Communications into Frequency Hopping MIMO Radar
How to enhance the physical layer security of FH-MIMO DFRC is vital yet unsolved.
Waveform Design and Accurate Channel Estimation for Frequency-Hopping MIMO Radar-Based Communications
In this paper, we develop accurate methods for a single-antenna communication receiver to estimate timing offset and channel for FH-MIMO DFRC.
Enabling Joint Communication and Radar Sensing in Mobile Networks -- A Survey
We then introduce a framework of PMN, including the system platform and infrastructure, three types of sensing operations, and signals usable for sensing.
