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Found 27 papers, 2 papers with code
Environment-aware UAV Communications: CKM Construction and Predictive Beamforming
Predictive millimeter-wave (mmWave) beamforming is a promising technique to enable low-latency and high-rate ground-air communications for cellular-connected unmanned aerial vehicles (UAVs).
Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication
First, compared to the conventional channel estimation methods purely relying on channel training, much fewer parameters need to be estimated once the multi-path angles are accurately estimated.
Fractional Delay Alignment Modulation for Spatially Sparse Wireless Communications
We first analyze the impact of fractional multi-path delays on the existing DAM design, termed integer DAM (iDAM), which can only achieve delay compensations that are integer multiples of the sampling interval.
Prototyping and Experimental Results for Environment-Aware Millimeter Wave Beam Alignment via Channel Knowledge Map
In this paper, to alleviate the large training overhead in millimeter wave (mmWave) beam alignment, an environment-aware and training-free beam alignment prototype is established based on a typical CKM, termed beam index map (BIM).
Spatial Channel State Information Prediction with Generative AI: Towards Holographic Communication and Digital Radio Twin
As 5G technology becomes increasingly established, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radio technologies.
Integrated Sensing, Communication, and Powering (ISCAP): Towards Multi-functional 6G Wireless Networks
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.
Delay Alignment Modulation with Hybrid beamforming for Spatially Sparse Communications
The analog and digital beamforming matrices are designed to achieve performance close to DAM based on fully digital beamforming.
Near-Field Beam Management for Extremely Large-Scale Array Communications
Extremely large-scale arrays (XL-arrays) have emerged as a promising technology to achieve super-high spectral efficiency and spatial resolution in future wireless systems.
Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments
Integrated sensing and communication (ISAC) is a promising technology to simultaneously provide high-performance wireless communication and radar sensing services in future networks.
Integrated Sensing and Communication with Delay Alignment Modulation: Performance Analysis and Beamforming Optimization
Delay alignment modulation (DAM) has been recently proposed to enable manipulable channel delay spread for efficient single- or multi-carrier communications.
ISAC from the Sky: UAV Trajectory Design for Joint Communication and Target Localization
In this paper, we consider an airborne integrated sensing and communications (ISAC) system where a UAV, which acts both as a communication BS and a mono-static radar, flies over a given area to transmit downlink signal to a ground communication user.
MIMO Symbiotic Radio with Massive Passive Devices: Asymptotic Analysis and Precoding Optimization
Symbiotic radio has emerged as a promising technology for spectrum- and energy-efficient wireless communications, where the passive secondary backscatter devices (BDs) reuse not only the spectrum but also the power of the active primary users to transmit their own information.
Integrated Sensing and Communication with Delay Alignment Modulation
Delay alignment modulation (DAM) has been recently proposed to enable inter-symbol interference (ISI)-free single-carrier (SC) communication without relying on sophisticated channel equalization.
Rate-Region Characterization and Channel Estimation for Cell-Free Symbiotic Radio Communications
We first derive the achievable communication rates of the active primary user and passive secondary user under the assumption of perfect channel state information (CSI), based on which the transmit beamforming of the cellfree APs is optimized to characterize the achievable rate-region of cell-free symbiotic communication systems.
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
This paper proposes, implements, and evaluates a reinforcement learning (RL)-based computational framework for automatic mesh generation.
Waveform Design and Performance Analysis for Full-Duplex Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is a promising technology to fully utilize the precious spectrum and hardware in wireless systems, which has attracted significant attentions recently.
SNR Scaling Laws for Radio Sensing with Extremely Large-Scale MIMO
On the other hand, for XL-MIMO radar, while the same SNR scaling as XL-phased-array radar is obeyed for N, the SNR first increases and then decreases with M.
Enabling Full Mutualism for Symbiotic Radio with Massive Backscatter Devices
To address this issue and enable full mutualism of symbiotic radio, in this paper, we study symbiotic radio with massive number of BDs.
Environment-Aware and Training-Free Beam Alignment for mmWave Massive MIMO via Channel Knowledge Map
Two instances of CKM are proposed for beam alignment in mmWave massive MIMO systems, namely channel path map (CPM) and beam index map (BIM).
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
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.
Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design with 3D Beam Flattening
Specifically, we aim to maximize the worst-case signal-to-noise ratio (SNR) over all locations in a target area by jointly optimizing the transmit beamforming for the source node and the placement as well as 3D passive beamforming for the AIRS.
An Overview on Integrated Localization and Communication Towards 6G
In this regard, a unified study on integrated localization and communication (ILAC) is necessary to unlock the full potential of wireless networks for the best utilization of network infrastructure and radio resources for dual purposes.
Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface
This paper investigates the achievable rate region of the multiple-input single-output (MISO) interference channel aided by intelligent reflecting surfaces (IRSs).
Energy Model for UAV Communications: Experimental Validation and Model Generalization
In this paper, via extensive flight experiments, we aim to firstly validate the recently derived theoretical energy model for rotary-wing UAVs, and then develop a general model for those complicated flight scenarios where rigorous theoretical model derivation is quite challenging, if not impossible.
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future.
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
The measurement results match well with the modeling results, thus validating the proposed free-space path loss models for RIS, which may pave the way for further theoretical studies and practical applications in this field.
Path Design for Cellular-Connected UAV with Reinforcement Learning
This paper studies the path design problem for cellular-connected unmanned aerial vehicle (UAV), which aims to minimize its mission completion time while maintaining good connectivity with the cellular network.
