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    • Distributed Policy Learning Based Random Access for Diversified QoS Requirements
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    • Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
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    • 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
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    • Status from a Random Field: How Densely Should One Update?
    • Timely Status Update in Wireless Uplinks: Analytical Solutions with Asymptotic Optimality
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    • 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
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    • 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
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    • 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
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    • 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
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    • 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
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    • Optimal power allocation on discrete energy harvesting model
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    • 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
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    • 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
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    • Spatial modeling of scalable spatially-correlated log-normal distributed traffic inhomogeneity and energy-efficient network planning
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    • Water-filling: A geometric approach and its application to solve generalized radio resource allocation problems
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Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update

Jan 1, 2023·
J. Sun
,
L. Wang
,
Y. Sun
Sheng Zhou
Sheng Zhou
Zhisheng Niu
Zhisheng Niu
· 0 min read
PDF
Last updated on Jan 1, 2023
Sheng Zhou
Authors
Sheng Zhou
Associate Professor
Zhisheng Niu
Authors
Zhisheng Niu
Professor
← NI-MAC: MAC Protocol Design for Neural Interfaces Jan 1, 2023
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