Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun
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1 min read
A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
Sheng Chen
Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals
Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Yuxuan Sun
Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks
Inferring Remote Channel State Information: Cramér-Rae Lower Bound and Deep Learning Implementation
Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing
Discrete Spatial Compression beyond Beamspace Channel Sparsity Based on Branch-and-Bound
Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels.