Relay-assisted partial aggregation with device grouping, relay selection, and SPCA-based power optimization reduces energy consumption by 2-6x and outage probability to 10^-6 in IIoT federated learning.
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A robust beamforming optimization for coherent distributed ISAC maximizes expected KLD for target detection under statistical RCS and imperfect CSI, delivering up to 3 dB SCNR gains over conventional schemes while preserving per-user QoS.
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Energy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks
Relay-assisted partial aggregation with device grouping, relay selection, and SPCA-based power optimization reduces energy consumption by 2-6x and outage probability to 10^-6 in IIoT federated learning.
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Robust Beamforming Design for Coherent Distributed ISAC with Statistical RCS and Phase Synchronization Uncertainty
A robust beamforming optimization for coherent distributed ISAC maximizes expected KLD for target detection under statistical RCS and imperfect CSI, delivering up to 3 dB SCNR gains over conventional schemes while preserving per-user QoS.