Derives closed-form DG-optimal and MSE-optimal transceiver designs for ISAC under compress-and-estimate framework, with numerical results showing DG-optimal design is more power-efficient at low SNR by selective feature allocation.
MU-MIMO commu- nications with MIMO radar: From co-existence to joint transmission
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Using stochastic geometry, the paper models sensing-assisted UAV networks over MPLP roads and derives detection probability, coverage probability, and non-monotonic rate coverage with altitude.
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Inference-Optimal ISAC via Task-Oriented Feature Transmission and Power Allocation
Derives closed-form DG-optimal and MSE-optimal transceiver designs for ISAC under compress-and-estimate framework, with numerical results showing DG-optimal design is more power-efficient at low SNR by selective feature allocation.
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Modeling and Analysis of Sensing Assisted UAV Networks for Urban Vehicular Communications
Using stochastic geometry, the paper models sensing-assisted UAV networks over MPLP roads and derives detection probability, coverage probability, and non-monotonic rate coverage with altitude.