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    • Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
    • C-MASS: Combinatorial Mobility-Aware Sensor Scheduling for Collaborative Perception With Second-Order Topology Approximation
    • CoSTr: Fully Sparse Transformer with Mutual Information for Pragmatic Collaborative Perception
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    • FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning
    • Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems
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    • SparseCoM: Fully Sparse Collaborative Perception via Mixture of BEV Experts
    • Task Profiling and Draft Model Selection for Accelerating Distributed Speculative Decoding
    • UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
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    • FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
    • FlexGen: Efficient On-Demand Generative AI Service With Flexible Diffusion Model in Mobile Edge Networks
    • Grouping-Based Cyclic Scheduling Under Age of Correlated Information Constraints
    • Image Analysis Oriented Integrated Sensing and Communication via Intelligent Reflecting Surface
    • Joint Optimization of Offloading, Batching and DVFS for Multiuser Co-Inference
    • Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks
    • Near-Sensor LiDAR and Visual Feature Extraction and Communication for Low-Latency Roadside Cooperative Perception
    • Nonparametric Teaching for Graph Property Learners
    • On the Impact of Mobility in Asynchronous Federated Learning over Device-to-Device Networks
    • SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services
    • SNAKE: Sequential Continual Learning for Knowledge Extension over Communication-Constrained Networks
    • 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
    • WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving
    • Learning-Assisted User Scheduling and Beamforming for mmWave Vehicular Networks
    • Adaptive Privacy-Preserving Coded Computing with Hierarchical Task Partitioning
    • CPU-Utilization-Aware Scheduling for In-Vehicle Distributed Computing
    • Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective
    • Joint Frame Structure and Beamwidth Optimization for Integrated Localization and Communication
    • Multi-Agent DRL-Based Two-Timescale Resource Allocation for Network Slicing in V2X Communications
    • QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning
    • Resource Allocation for Channel Estimation in Reconfigurable Intelligent Surface-Aided Multi-Cell Networks
    • RSU-Aided Energy-Efficient Collaborative Perception for Connected Autonomous Vehicles
    • Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems
    • 能量信息深度融合的移动网络架构及其技术挑战
    • 面向6G网络的高可靠低延时通信计算与控制
    • Data-Heterogeneous Hierarchical Federated Learning with Mobility
    • Hierarchical Federated Learning: Architecture, Challenges, and its Implementation in Vehicular Networks
    • A Predictive Frame Transmission Scheme for Cloud Gaming in Mobile Edge Cloudlet Systems
    • Delay Optimization of Coded Computing With Hierarchical Task Partitioning
    • Joint Task Offloading and Resource Allocation for Vehicular Edge Computing with Result Feedback Delay
    • MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving
    • MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
    • MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
    • MoRFF: Multi-View Object Detection for Connected Autonomous Driving under Communication and Localization Limitations
    • Multiuser Co-inference with Batch Processing Capable Edge Server
    • NI-MAC: MAC Protocol Design for Neural Interfaces
    • Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update
    • Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks
    • Random Access Protocol Design and Analysis for Neural Interfaces Under Non-Saturated Regime
    • Sensing and Communication Co-Design for Status Update in Multiaccess Wireless Networks
    • SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms
    • Time-Triggered Reservation for Cooperative Random Access in Wireless LANs
    • V2V-Assisted Timely Hierarchical Federated Learning
    • 定位与通信受限的网联协同感知算法
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    • Coded Computation Across Shared Heterogeneous Workers with Communication Delay
    • Coverage Analyses on Directional Transmissions Ultra-Dense Networks with Imperfect Beam Alignment
    • DOLPHINS: Dataset for collaborative perception enabled harmonious and interconnected self-driving
    • Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints
    • Importance-Aware Data Pre-Processing and Device Scheduling for Multi-Channel Edge Learning
    • Importance-Aware Message Exchange and Prediction for Multi-Agent Reinforcement Learning
    • Online V2X Scheduling for Raw-Level Cooperative Perception
    • Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
    • Timely and Sustainable: Utilising Correlation in Status Updates of Battery-Powered and Energy-Harvesting Sensors Using Deep Reinforcement Learning
    • 面向’双碳’战略的绿色通信与网络：挑战与对策
    • A UoI-Optimal Policy for Timely Status Updates with Resource Constraint
    • Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint
    • Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint
    • AoI-Delay Tradeoff in Mobile Edge Caching With Freshness-Aware Content Refreshing
    • Coded Computation over Heterogeneous Workers with Random Task Arrivals
    • Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints
    • Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
    • Error Analysis for Status Update from Sensors with Temporally and Spatially Correlated Observations
    • Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
    • On the Capacity of Privacy-Preserving and Straggler-Robust Distributed Coded Computing
    • SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions
    • The Impact of Interference Reflection on Reconfigurable Intelligent Surface-Aided Directional Transmissions
    • 面向6G网络的信息时效性度量及研究进展
    • A 2.92-Gb/s/W and 0.43-Gb/s/MG Flexible and Scalable CGRA-Based Baseband Processor for Massive MIMO Detection
    • A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks
    • Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection
    • Adaptive Transmission for Edge Learning via Training Loss Estimation
    • Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint
    • AI-Assisted Low Information Latency Wireless Networking
    • Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
    • Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
    • Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update
    • Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning
    • Device Scheduling with Fast Convergence for Wireless Federated Learning
    • Dynamic Caching: A Collaborative Design of Storage and Backhaul
    • Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines
    • Edge Learning with Timeliness Constraints: Challenges and Solutions
    • Energy- and Area-Efficient Recursive-Conjugate-Gradient-Based MMSE Detector for Massive MIMO Systems
    • Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
    • Energy-optimal and delay-bounded computation offloading in mobile edge computing with heterogeneous clouds
    • Energy-optimal computation offloading with delay constraints in mobile edge computing systems with heterogeneous clouds
    • Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks
    • Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection
    • Near-Optimal MIMO-SCMA Uplink Detection with Low-Complexity Expectation Propagation
    • On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions
    • SENATE: A Permissionless Byzantine consensus protocol in wireless networks for real-time internet-of-things applications
    • SFC-Based Service Provisioning for Reconfigurable Space-Air-Ground Integrated Networks
    • Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions
    • Timely Status Update Based on Urgency of Information with Statistical Context
    • Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
    • A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
    • Adaptive learning-based task offloading for vehicular edge computing systems
    • Age of Information and Delay Tradeoff with Freshness-Aware Mobile Edge Cache Update
    • Bidirectional mission offloading for agile space-air-ground integrated networks
    • Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter
    • Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems
    • Distributed Policy Learning Based Random Access for Diversified QoS Requirements
    • Exploiting moving intelligence: Delay-optimized computation offloading in vehicular fog networks
    • Exploiting wireless channel state information structures beyond linear correlations: A deep learning approach
    • Heterogeneous Coded Computation across Heterogeneous Workers
    • Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
    • Intermittent CSI update for massive MIMO systems with heterogeneous user mobility
    • Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition
    • Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study
    • Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information
    • Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy
    • Radio Resource Allocation for Bidirectional Offloading in Space-Air-Ground Integrated Vehicular Network
    • Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions
    • Security Analysis of Mobile Device-to-Device Network Applications
    • Service Function Chain Planning with Resource Balancing in Space-Air-Ground Integrated Networks
    • Status from a Random Field: How Densely Should One Update?
    • Timely Status Update in Wireless Uplinks: Analytical Solutions with Asymptotic Optimality
    • 车辆间计算任务卸载算法与系统级仿真验证
    • A 1.58 Gbps/W 0.40 Gbps/mm² ASIC Implementation of MMSE Detection for 128 × 8 64-QAM Massive MIMO in 65 nm CMOS
    • A Two-Step Learning and Interpolation Method for Location-Based Channel Database Construction
    • Algorithm and architecture of a low-complexity and high-parallelism preprocessing-based K-best detector for large-scale MIMO systems
    • Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?
    • Collaborative mobile clouds: an energy efficient paradigm for content sharing
    • Computation peer offloading for energy-constrained mobile edge computing in small-cell networks
    • Data-driven user complaint prediction for mobile access networks
    • Decentralized status update for age-of-information optimization in wireless multiaccess channels
    • DeepNap: Data-driven base station sleeping operations through deep reinforcement learning
    • Discrete spatial compression beyond beamspace channel sparsity based on branch-and-bound
    • Energy-efficient UAV deployment with flexible functional split selection
    • Flexible functional split in C-RAN with renewable energy powered remote radio units
    • Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing
    • Inferring Remote Channel State Information: Cramer-Rao Lower Bound and Deep Learning Implementation
    • Joint Optimization of Cache Allocation and Content Placement in Urban Vehicular Networks
    • Joint user scheduling and beam selection optimization for beam-based massive MIMO downlinks
    • Learning Based Security for VANET with Blockchain
    • Learning-based task offloading for vehicular cloud computing systems
    • Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach
    • On the time scales of energy arrival and channel fading in energy harvesting communications
    • Optimal discrete spatial compression for beamspace massive MIMO signals
    • Optimal sleeping mechanism for multiple servers with MMPP-based bursty traffic arrival
    • Task replication for deadline-constrained vehicular cloud computing: optimal policy, performance analysis and implications on road traffic
    • Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
    • Time-sequence channel inference for beam alignment in vehicular networks
    • Towards service-oriented 5G: Virtualizing the networks for everything-as-a-Service
    • A block coordinated update method for beam-based massive MIMO downlink scheduling based on statistical CSI
    • Analysis and optimization of wireless transmissions over fast fading channels with slow time-varying energy arrival
    • Antenna-beam spatial transformation in C-RAN with large antenna arrays
    • Computation peer offloading in mobile edge computing with energy budgets
    • Deep learning based optimization in wireless network
    • E2M2: Energy efficient mobility management in dense small cells with mobile edge computing
    • Elastic local breakout strategy and implementation for delay-sensitive packets with local significance
    • EMM: Energy-aware mobility management for mobile edge computing in ultra dense networks
    • Energy efficient mobile edge computing in dense cellular networks
    • Energy efficient network planning and dynamic control for hyper-cellular network
    • Energy-sustainable traffic steering for 5G mobile networks
    • Fractional dynamic caching: Minimizing the file delivery time under limited backhaul
    • How often should CSI be updated for massive MIMO systems with massive connectivity?
    • Joint Resource Provisioning for Internet Datacenters with Diverse and Dynamic Traffic
    • Mobility-aware coded-caching scheme for small cell network
    • On the fronthaul statistical multiplexing gain
    • Pilot-data superposition for beam-based FDD massive MIMO downlinks
    • Policy optimization for content push via energy harvesting small cells in heterogeneous networks
    • Proactive content push in heterogeneous networks with multiple energy harvesting small cells
    • Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network
    • Robust energy scheduling in vehicle-to-grid networks
    • Tasks scheduling and resource allocation in heterogeneous cloud for delay-bounded mobile edge computing
    • Base-station sleeping control and power matching for energy-delay tradeoffs with bursty traffic
    • Delay-constrained energy-optimal base station sleeping control
    • Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds
    • Energy-aware traffic offloading for green heterogeneous networks
    • Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers
    • Impact of mobile instant messaging applications on signaling load and UE energy consumption
    • Joint optimization of content caching and push in renewable energy powered small cells
    • Networked MIMO with fractional joint transmission in energy harvesting systems
    • On the online minimization of completion time in an energy harvesting system
    • Pricing policy and computational resource provisioning for Delay-aware mobile edge computing
    • Scalable non-orthogonal pilot design for massive MIMO systems with massive connectivity
    • Simultaneous information and energy flow for IoT relay systems with crowd harvesting
    • Software-defined hyper-cellular architecture for green and elastic wireless access
    • Statistical multiplexing gain analysis of heterogeneous virtual base station pools in cloud radio access networks
    • A Cooperative scheduling scheme of local cloud and internet cloud for delay-aware mobile cloud computing
    • Characterizing energy–delay tradeoff in hyper-cellular networks with base station sleeping control
    • Energy-efficient task offloading for multiuser mobile cloud computing
    • Graph-based framework for flexible baseband function splitting and placement in C-RAN
    • GreenDelivery: Proactive content caching and push with energy-harvesting-based small cells
    • How many small cells can be turned off via vertical offloading under a separation architecture?
    • On dimensionality loss in FDD Massive MIMO Systems
    • On the Spatial Distribution of Base Stations and Its Relation to the Traffic Density in Cellular Networks
    • Optimal antenna cluster size in cell-free distributed large-scale antenna systems with imperfect CSI and inter-cluster interference
    • Optimal green energy utilization in MIMO systems with hybrid energy supplies
    • Optimal power allocation on discrete energy harvesting model
    • Optimal power allocation on discrete energy harvesting model
    • Outage minimization for a fading wireless link with energy harvesting transmitter and receiver
    • Proactive push with energy harvesting based small cells in heterogeneous networks
    • Redesigning fronthaul for next-generation networks: beyond baseband samples and point-to-point links
    • RF chain and user selection for multiuser MIMO systems under random data arrival
    • Seeing the unobservable: channel learning for wireless communication networks
    • Spatial traffic shaping in heterogeneous cellular networks with energy harvesting
    • User scheduling in pilot-assisted TDD multiuser MIMO systems
    • A practical channel allocation scheme based on the weighted conflict graph in heterogeneous networks
    • Base station sleeping and resource allocation in renewable energy powered cellular networks
    • CONCERT: a cloud-based architecture for next-generation cellular systems
    • CONCERT: a cloud-based architecture for next-generation cellular systems
    • Downlink base station cooperation with energy harvesting
    • Dynamic channel acquisition in MU-MIMO
    • Energy-efficiency and spectrum-efficiency tradeoff in coordinated small-cell networks
    • Energy-efficient antenna selection and power allocation for large-scale multiple antenna systems with hybrid energy supply
    • Energy-Efficient Sleep Scheduling for Delay-Constrained Applications Over WLANs
    • Energy‐efficient orthogonal frequency division multiplexing scheme based on time–frequency joint channel estimation
    • On the statistical multiplexing gain of virtual base station pools
    • Power control policies for a wireless link with energy harvesting transmitter and receiver
    • Radio Resource Allocation for Collaborative OFDMA Relay Networks with Imperfect Channel State Information
    • Recursive waterfilling for wireless links with energy harvesting transmitters
    • Spatial modeling of the traffic density in cellular networks
    • Traffic aware offloading for BS sleeping in heterogeneous networks
    • Traffic-aware data and signaling resource management for green cellular networks
    • Traffic-Aware Network Planning and Green Operation with BS Sleeping and Cell Zooming
    • A novel precoding scheme for dynamic base station cooperation with overlapped clusters
    • CHORUS: framework for scalable collaboration in heterogeneous networks with cognitive synergetic
    • Energy Saving in Cellular Networks by Dynamic RS–BS Association and BS Switching
    • Improving the energy efficiency of two-tier heterogeneous cellular networks through partial spectrum reuse
    • Interference-aware relay selection scheme for two-hop relay networks with multiple source-destination pairs
    • Joint optimization of frequency allocation and user association with differentiated service in hyper-cellular networks
    • On precoding for overlapped clustering in a measured urban macrocellular environment
    • Optimal combination of base station densities for energy-efficient two-tier heterogeneous cellular networks
    • Optimal Combination of Base Station Densities for Energy-Efficient Two-Tier Heterogeneous Cellular Networks
    • Optimal power allocation for energy harvesting and power grid coexisting wireless communication systems
    • Optimal wake-up mechanism for single base station with sleep mode
    • Sleep control for base station powered by heterogenous energy sources
    • Spatial modeling of scalable spatially-correlated log-normal distributed traffic inhomogeneity and energy-efficient network planning
    • Traffic-aware base station sleeping control and power matching for energy-delay tradeoffs in green cellular networks
    • Water-filling: A geometric approach and its application to solve generalized radio resource allocation problems
    • A dynamic programming approach for base station sleeping in cellular networks
    • Capacity bounds of downlink network MIMO systems with inter-cluster interference
    • Energy efficiency and resource optimized hyper-cellular mobile communication system architecture and its technical challenges
    • Energy management and resource optimization for wireless communications under dynamic energy harvesting
    • Energy-aware network planning for wireless cellular system with inter-cell cooperation
    • Energy-aware network planning for wireless cellular system with inter-cell cooperation
    • Improving network throughput in 60GHz WLANs via multi-AP diversity
    • Optimal base station density for energy-efficient heterogeneous networks
    • Distributed adaptation of quantized feedback for downlink network MIMO systems
    • Minimizing Transmit Power in a Virtual-Cell Downlink with Distributed Antennas
    • Multi-hop relay network for base station energy saving and its performance evaluation
    • On optimal relay placement and sleep control to improve energy efficiency in cellular networks
    • Queuing on energy-efficient wireless transmissions with adaptive modulation and coding
    • scheduling and dynamic clustering in downlink cellular networks
    • TANGO: traffic-aware network planning and green operation
    • Toward dynamic energy-efficient operation of cellular network infrastructure
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MoRFF: Multi-View Object Detection for Connected Autonomous Driving under Communication and Localization Limitations

Jan 1, 2023·
R. Mao
,
J. Guo
,
Y. Jia
,
Y. Sun
Sheng Zhou
Sheng Zhou
Zhisheng Niu
Zhisheng Niu
· 0 min read
Last updated on Jan 1, 2023
Sheng Zhou
Authors
Sheng Zhou
Associate Professor
Zhisheng Niu
Authors
Zhisheng Niu
Professor
← MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles Jan 1, 2023
Multiuser Co-inference with Batch Processing Capable Edge Server Jan 1, 2023 →

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