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    • Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
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    • 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
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    • On the Impact of Mobility in Asynchronous Federated Learning over Device-to-Device Networks
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    • SNAKE: Sequential Continual Learning for Knowledge Extension over Communication-Constrained Networks
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    • WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving
    • Learning-Assisted User Scheduling and Beamforming for mmWave Vehicular Networks
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    • 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
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    • 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
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    • 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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    • 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
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    • 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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Impact of mobile instant messaging applications on signaling load and UE energy consumption

Jan 1, 2016·
Y. Jia
,
Y. Zhang
,
L. Liang
,
W. Xu
Sheng Zhou
Sheng Zhou
· 0 min read
Last updated on Jan 1, 2016
Sheng Zhou
Authors
Sheng Zhou
Associate Professor
← Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers Jan 1, 2016
Joint optimization of content caching and push in renewable energy powered small cells Jan 1, 2016 →

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