Under dom φ ≠ ∅, the augmented Lagrangian dual φ_ρ is 1/ρ-smooth everywhere and min_x L_ρ(x, λ) attains its solution for any λ.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Proposes FP-type receiver unifying projection and SIC approaches via tradeoff factor for uplink ISAC joint detection and estimation, derives PEP for ML/ZF detectors, and extends to dynamic DFP receiver via homotopy optimization.
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Smoothness of the Augmented Lagrangian Dual in Convex Optimization
Under dom φ ≠ ∅, the augmented Lagrangian dual φ_ρ is 1/ρ-smooth everywhere and min_x L_ρ(x, λ) attains its solution for any λ.
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A Framework for Uplink ISAC Receiver Designs: Performance Analysis and Algorithm Development
Proposes FP-type receiver unifying projection and SIC approaches via tradeoff factor for uplink ISAC joint detection and estimation, derives PEP for ML/ZF detectors, and extends to dynamic DFP receiver via homotopy optimization.