• Home
  • Research
    • Neuro Baseband
    • Edge AI Inference Engine
  • People
  • Publications
  • Events
  • Join Us
ESC

Searching...

No results found

↑↓ Navigate ↵ Select
Powered by Hugo Blox
  • Recent Events
    • 2025 Autumn Tour
  • People
  • Teaching
    • Hugo Blox
      • Getting Started
      • Guide
        • Project Structure
        • Configuration
        • Formatting
          • Embed Media
          • Buttons
          • Callouts
          • Cards
          • Spoilers
          • Steps
      • Reference
        • Customization
        • Internationalization (i18n)
  • Publications
    • Zoozve: A Strip-Mining-Free RISC-V Vector Extension with Arbitrary Register Grouping Compilation Support (WIP)
    • Channel Knowledge Map-Aided Channel Prediction With Measurements-Based Evaluation
    • 4 GHz to 28 GHz Coherent Channel Measurements and Spatial-Time Comparative Analysis for 6G Green Networks
    • A Heterogeneous CNN Compilation Framework for RISC-V CPU and NPU Integration Based on ONNX-MLIR
    • A Hierarchical Dataflow-Driven Heterogeneous Architecture for Wireless Baseband Processing
    • Agile Coverage for Low-Altitude Aerial Intelligent Networks: A Blended Hyper-Cellular Solution
    • An Agile Systolic Array-Based Hardware Accelerator for Scalable Multi-Head Self-Attention
    • Analysis of Preamble Collisions in Satellite-Based Internet of Things Using Static Floor Field
    • Calibration-Free Roadside BEV Perception with V2X-Enabled Vehicle Position Assistance
    • Efficient Network Compression via Gradient-Score Aware Pruning
    • MPQA: Mixed-Precision Quantization Accelerator for CNN Inference
    • Near-Sensor LiDAR and Visual Feature Extraction and Communication for Low-Latency Roadside Cooperative Perception
    • Packetized Pipelined Pillar Feature Net Accelerator for LiDAR 3D Object Detection
    • Unlimited Vector Processing for Wireless Baseband Based on RISC-V Extension
    • Venus: A RISC-V Domain Specific Architecture Towards Integrated AI and Wireless Baseband Processing for 6G Edge Intelligence
    • A Comparative Study on Urban Micro-Cell Channel Measurements at 4.9 and 28 GHz
    • A Critical-Set-Based Multi-Bit Successive Cancellation List Decoder for Polar Codes: Algorithm and Implementation
    • A Fluid Limit Approach to Age of Information Optimization in Multiaccess Networks With Transmission Frequency Constraints
    • Analyzing Age of Information in Multiaccess Networks with Time-Varying Channels: A Fluid Limits Approach
    • Can Channel Knowledge Map Help to Predict Instantaneous MIMO Channel State Information?
    • Channel Knowledge Map Aided Channel Prediction with Measurements-Based Evaluation
    • Channel Measurement and Comparative Analysis of 6.8 GHz and 13 GHz in Outdoor Scenarios
    • Design and Implementation of AoI-Aware Random Access Scheme in LEO Satellite IoTs
    • Dynamically Configurable FIR Filters Based on Serial MACs and Systolic Arrays
    • Efficient Caching and Spreading of Traffic Videos by Optimized Topology in IoV
    • Euler--Maruyama Method Based Channel Prediction: An LDE-net Implementation and Field Evaluation
    • Hybrid-Grained Pruning and Hardware Acceleration for Convolutional Neural Networks
    • Indoor Measurements and Analysis at 13 GHz with a Massive SIMO Channel Sounder
    • A Domain Specific Computing Architecture for Open 6G Baseband Signal Processing
    • A Coded Modulation Scheme for IoT System
    • A Fluid Limit Approach to Age of Information in Multiaccess Networks with Resource Constraints
    • A Resource- and Power-Efficient Implementation of PSS Synchronization on FPGA in Vehicular Networks
    • An FPGA-based Low Latency Sensing and Communication Platform for Collaborative Autonomous Driving
    • Channel Prediction Based on Non-Uniform Pilot Pattern for Mobile Massive MIMO Scenarios
    • Channel Prediction with Time-Varying Doppler Spectrum in High-Mobility Scenarios: A Polynomial Fourier Transform Based Approach and Field Measurements
    • Critical-Set-Aided Multi-Bit Successive Cancellation List Decoders for Polar Codes
    • Dynamic Beam Hopping for LEO Satellites with Differentiated Traffic Demands
    • Joint Optimization of Energy and Delay in NGSO Satellite Constellations: Cached Data Sharing Based on Spreading Dynamics
    • Live Demonstration: An Integrated Computing and Communication Platform for Vehicle-Infrastructure Cooperative Autonomous Driving
    • Loop-Tiling Based Compiling Optimization for Cnn Accelerators
    • Parallel Computing for Energy-Efficient Baseband Processing in O-RAN: Synchronization and OFDM Implementation Based on SPMD
    • SFO: An Adaptive Task Scheduling Based on Incentive Fleet Formation and Metrizable Resource Orchestration for Autonomous Vehicle Platooning
    • SPMD-Based Mixed-Radix FFT and Channel Estimation for Energy-Efficient O-RAN
    • Age of Information in an M/M/2 Queue with In-Order Delivery
    • A Computational-Efficient Deformable Convolution Network Accelerator via Hardware and Algorithm Co-Optimization
    • A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning
    • A Novel Mobility Induced Channel Prediction Mechanism for Vehicular Communications
    • A Polynomial Fourier Transform Based Channel Prediction Scheme for High-Mobility Massive MIMO Scenarios
    • Configurable CNN Accelerator in Speech Processing Based on Vector Convolution
    • Dynamic Routing Strategy for Directed Transmissions of High-Valued Contents in NGSO Satellite-Based Internet
    • Energy Saving in LEO-HTS Constellation Based on Adaptive Power Allocation with Multi-Beam Directivity Control
    • Filter Pruning via Automatic Pruning Rate Search
    • Filter Pruning via Automatic Pruning Rate Search (Supplementary Material)
    • Measurement-Based Channel Characteristic Analysis with Different Antenna Heights at 3.7 GHz
    • Out-of-Band Information Assisted Channel Estimation Based on Distributed Compressive Sensing
    • Outdoor Measurements and Analysis of Propagation Characteristics at 14 GHz with a Massive Mimo Channel Sounder
    • The Measurement-Based Intelligent Reflecting Surfaces Path Loss Model
    • Timely and Sustainable: Utilising Correlation in Status Updates of Battery-Powered and Energy-Harvesting Sensors Using Deep Reinforcement Learning
    • A Novel Blind Detection Method and FPGA Implementation for Energy-Efficient Sidelink Communications
    • A Compressive Sensing Based Channel Prediction Scheme with Uneven Pilot Design in Mobile Massive MIMO Systems
    • A Cross Domain Multi-Modal Dataset for Robust Face Anti-Spoofing
    • A Dataset and Benchmark towards Multi-Modal Face Anti-Spoofing under Surveillance Scenarios
    • A Network-Level Connected Autonomous Driving Evaluation Platform Implementing C-V2X Technology
    • A Real-Time Face Recognition System by Efficient Hardware-Software Co-Design on FPGA SoCs
    • A Reconfigurable and Pipelined Architecture for Standard-Compatible LDPC and Polar Decoding
    • A Semi-Folded Decoding Architecture for Flexible Codeword Length Configuration of Polar Codes
    • Age-Optimal Scheduling for Heterogeneous Traffic with Timely Throughput Constraints
    • An Information-Centric in-Network Caching Scheme for 5G-enabled Internet of Connected Vehicles
    • Analysis on Asymptotic Optimality of Round-Robin Scheduling for Minimizing Age of Information with HARQ
    • Analyzing Age of Information in Multiaccess Networks by Fluid Limits
    • Attention Based Convolutional Recurrent Neural Network for Environmental Sound Classification
    • Data-Injection-Proof-Predictive Vehicle Platooning: Performance Analysis with Cellular-V2X Sidelink Communications
    • Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring
    • Deep Learning-Aided Signal Detection for Two-Stage Index Modulated Universal Filtered Multi-Carrier Systems
    • Detection of Data Injection Attacks on Predictive Vehicle Platooning
    • Fairness for Freshness: Optimal Age of Information Based OFDMA Scheduling with Minimal Knowledge
    • Guest Editorial Special Issue on Age of Information and Data Semantics for Sensing, Communication, and Control Co-Design in IoT
    • High Accurate Environmental Sound Classification: Sub-spectrogram Segmentation versus Temporal-Frequency Attention Mechanism
    • IFR: Iterative Fusion Based Recognizer for Low Quality Scene Text Recognition
    • Multi-Task and Multi-Modal Learning for Rgb Dynamic Gesture Recognition
    • Power Allocation for Video Segment Based Caching Strategy in F-RAN Architecture
    • Predictive Wireless Based Status Update for Communication-Agnostic Sampling
    • Sensing and Communication Co-Design for Status Update in Multiaccess Wireless Networks
    • SGTBN: Generating Dense Depth Maps from Single-Line LiDAR
    • Slicing Framework for Service Level Agreement Guarantee in Heterogeneous Networks---A Deep Reinforcement Learning Approach
    • SMART: Situationally-aware Multi-Agent Reinforcement Learning-Based Transmissions
    • Tracking Based Semi-Automatic Annotation for Scene Text Videos
    • Learning Frame Level Attention for Environmental Sound Classification
    • Revealing Much While Saying Less: Predictive Wireless for Status Update
    • An End-to-End Quantization Framework for Fixed Point Fast Fourier Transform Hardware Implementation via Deep Neural Network
    • Network Architecture, Methods, and Devices for a Wireless Communications Network
    • Deep Learning--Based Coverage and Capacity Optimization
    • A Novel Terminal Aided Synchronization Scheme for Intelligent Transportation Systems with Vehicle-to-Anything (V2X) Communications
    • Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration
    • AI-assisted Low Information Latency Wireless Networking
    • An SDR-in-the-loop Carla Simulator for C-V2X-based Autonomous Driving
    • An Unfolded Pipelined Polar Decoder with Hybrid Number Representations for Multi-User MIMO Systems
    • Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
    • Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
    • Energy-Efficient Resource Allocation with Flexible Frame Structure for Hybrid eMBB and URLLC Services
    • Energy-Optimal and Delay-Bounded Computation Offloading in Mobile Edge Computing with Heterogeneous Clouds
    • Error Analysis for Status Update from Sensors with Temporally and Spatially Correlated Observations
    • Hardware-Software Co-Design for Face Recognition on Fpga Socs
    • LSRN: A Recurrent Residual Learning Framework for Continuous Wireless Channel Estimation Using Super-Resolution Concept
    • Piggyback-Based Distributed MAC Optimization for V2X Sidelink Communications
    • Recursive Optimization of Finite Blocklength Allocation to Mitigate Age-of-Information Outage
    • Robustness Analysis of Networked Control Systems with Aging Status
    • Round-Robin Is Provably Near-Optimal for Minimizing Age with HARQ over Heterogeneous Unreliable Multiaccess Channels
    • Senate: A Permissionless Byzantine Consensus Protocol in Wireless Networks for Real-Time Internet-of-Things Applications
    • SimuNN: A Pre-RTL Inference, Simulation and Evaluation Framework for Neural Networks
    • 基于 C-V2X 直连通信的车辆编队行驶性能优化
    • Radio Node Calibration
    • A Pre-RTL Simulator for Neural Networks
    • A Real-Time Network Traffic Identifier for Open 5G/B5G Networks via Prototype Analysis
    • A Reconfigurable Decoder for Standard-Compatible LDPC Codes and Polar Codes
    • A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
    • Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
    • Channel Estimation for WiFi Prototype Systems with Super-Resolution Image Recovery
    • Closed-Form Analysis of Non-Linear Age of Information in Status Updates with an Energy Harvesting Transmitter
    • Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update
    • Deep Neural Networks for Channel Estimation in Underwater Acoustic OFDM Systems
    • Distributed Policy Learning Based Random Access for Diversified QoS Requirements
    • Dynamic Carrier to MCPA Allocation for Energy Efficient Communication: Convex Relaxation versus Deep Learning
    • Efficient MIMO Detection with Imperfect Channel Knowledge-a Deep Learning Approach
    • Energy-Efficient Resource Allocation with Dynamic Cache Using Reinforcement Learning
    • Energy-Efficient Resource Allocation with Flexible Frame Structure for Heterogeneous Services
    • Energy-Efficient Subchannel and Power Allocation for HetNets Based on Convolutional Neural Network
    • Exploiting Moving Intelligence: Delay-optimized Computation Offloading in Vehicular Fog Networks
    • Exploiting Wireless Channel State Information Structures beyond Linear Correlations: A Deep Learning Approach
    • Fingerprint-Based Localization Using Commercial LTE Signals: A Field-Trial Study
    • Finite Blocklength Allocation towards Robust Age-of-Information Optimization
    • Intermittent CSI Update for Massive MIMO Systems with Heterogeneous User Mobility
    • Joint Compressed Sensing and Enhanced Whale Optimization Algorithm for Pilot Allocation in Underwater Acoustic OFDM Systems
    • Learning Attentive Representations for Environmental Sound Classification
    • Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study
    • Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information
    • Optimal Blocklength Allocation towards Reduced Age of Information in Wireless Sensor Networks
    • Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy
    • Passive TCP Identification for Wired and Wireless Networks: A Long-Short Term Memory Approach
    • Robust Sub-Meter Level Indoor Localization with a Single WiFi Access Point---Regression versus Classification
    • Robust Sub-Meter Level Indoor Localization-a Logistic Regression Approach
    • Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions
    • Speed-Oriented Architecture for Binary Field Point Multiplication on Elliptic Curves
    • Status from a Random Field: How Densely Should One Update?
    • Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion
    • Timely Status Update in Wireless Uplinks: Analytical Solutions with Asymptotic Optimality
    • Fast Intra Coding Based on CU Size Decision and Direction Mode Decision for HEVC
    • A Fast Modular Inversion FPGA Implementation over GF (2 m) Using Modified x 2n Unit
    • A Prototype Performance Analysis for V2V Communications Using USRP-based Software Defined Radio Platform
    • A Reconfigurable Pipelined Architecture for Convolutional Neural Network Acceleration
    • A Two-Step Learning and Interpolation Method for Location-Based Channel Database Construction
    • A Unified Deep Learning Based Polar-LDPC Decoder for 5G Communication Systems
    • A Unified Reconfigurable Datapath for 5G Compatible LDPC Decoding
    • Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?
    • Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels.
    • Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
    • Discrete Spatial Compression beyond Beamspace Channel Sparsity Based on Branch-and-Bound
    • Distributed Reinforcement Learning for Quality-of-Service Routing in Wireless Device-to-Device Networks
    • Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications
    • Grey Correlation Degree Analysis on Pilot Pattern Optimization for OFDM Channel Estimation
    • Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing
    • Inferring Remote Channel State Information: Cramér-Rae Lower Bound and Deep Learning Implementation
    • Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks
    • Learning-Based Task Offloading for Vehicular Cloud Computing Systems
    • Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals
    • Origin of Symmetry Breaking in the Seed-Mediated Growth of Bi-Metal Nano-Heterostructures
    • Performance Evaluation for LTE-V Based Vehicle-to-Vehicle Platooning Communication
    • Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
    • A Block Coordinated Update Method for Beam-Based Massive MIMO Downlink Scheduling Based on Statistical CSI
    • A Two-Stage Variation-Aware Task Mapping Scheme for Fault-Tolerant Multi-Core Network-on-Chips
    • Antenna-Beam Spatial Transformation in C-RAN with Large Antenna Arrays
    • Augmented Nested Arrays with Enhanced DOF and Reduced Mutual Coupling
    • DOA Estimation Based on the Difference and Sum Coarray for Coprime Arrays
    • Elastic Local Breakout Strategy and Implementation for Delay-Sensitive Packets with Local Significance
    • How Often Should CSI Be Updated for Massive MIMO Systems with Massive Connectivity?
    • Modeling and Analyzing of Underwater Acoustic Channels with Curvilinear Boundaries in Shallow Ocean
    • Optimal Sleeping Mechanism for Multiple Servers with MMPP-based Bursty Traffic Arrival
    • Pilot-Data Superposition for Beam-Based FDD Massive MIMO Downlinks
    • Proactive Content Push in Heterogeneous Networks with Multiple Energy Harvesting Small Cells
    • Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network
    • System Design and Software-Defined Implementation for Hyper-Cellular Network
    • Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis, and Implications on Road Traffic
    • 利用信道学习获取超蜂窝网络休眠基站的信道信息
    • 软件定义超蜂窝网络中的通信与计算协同优化
    • A Novel TLS-based Antenna Reciprocity Calibration Scheme in TDD MIMO Systems
    • A Phase Difference Detection Method Implementation Based on DFT in Multi-Band SAR System
    • An Accurate Power and Temperature Simulation Framework for Network-on-Chip
    • An Improved Low Power Viterbi Decoder in System-on-Chips
    • Temperature-Aware Multi-Application Mapping on Network-on-Chip Based Many-Core Systems
    • Temperature-Aware Task Scheduling Heuristics on Network-on-Chips
    • Schedule Refinement for Homogeneous Multi-Core Processors in the Presence of Manufacturing-Caused Heterogeneity
    • Novel Hydrogen Storage Properties of Palladium Nanocrystals Activated by a Pentagonal Cyclic Twinned Structure
    • Achievable Rates of FDD Massive MIMO Systems with Spatial Channel Correlation
    • On Dimensionality Loss in FDD Massive MIMO Systems
    • User Scheduling in Pilot-Assisted TDD Multiuser MIMO Systems
    • Dynamic Channel Acquisition in MU-MIMO
    • Optimal Antenna Cluster Size in Cell-Free Large-Scale Distributed Antenna Systems with Imperfect CSI and Intercluster Interference
    • Compiler-Assisted Leakage Energy Optimization of Media Applications on Stream Architectures
    • Compiler-Assisted Leakage-and Temperature-Aware Instruction-Level VLIW Scheduling
    • Energy-Efficient Stream Task Scheduling Scheme for Embedded Multimedia Applications on Multi-Issued Stream Architectures
    • Minimum Power Consumption of a Base Station with Large-Scale Antenna Array
    • Capacity Bounds of Downlink Network MIMO Systems with Inter-Cluster Interference
    • Low Power Schedule Algorithm for Embedded Multimedia Applications Basing on Imagine-L Processor
    • Structural Investigations and Growth Mechanism of Well-Defined Ag Dendrites Prepared by Conventional Redox Displacement
    • An Energy Efficiency Task Scheduling Algorithm for Streaming Applications on Multiprocessor SoC
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Research
    • AI Chips & Neural Processors
    • AI Chips and Neural Network Processors
    • Communication-AI Fusion and ISAC
    • Edge AI Inference Engine
    • NeuroBaseband Research
    • Wireless Communication Systems
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Experience
  • Publications
    • An example preprint / working paper
    • An example journal article
    • An example conference paper

Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks

Jan 1, 2020·
Yan Liu
Zhiyuan Jiang
Zhiyuan Jiang
,
Shunqing Zhang
,
Shugong Xu
· 0 min read
DOI
Last updated on Jan 1, 2020
Zhiyuan Jiang
Authors
Zhiyuan Jiang
Professor
← Arbitrary-Shaped Text Detection withAdaptive Text Region Representation Jan 1, 2020
Energy-Efficient Resource Allocation with Flexible Frame Structure for Hybrid eMBB and URLLC Services Jan 1, 2020 →

© 2026 ACE-Lab. This work is licensed under CC BY NC ND 4.0

Made with Hugo Blox Builder. Build your site →