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Technical Program

Paper Detail

Paper IDD1-S7-T1.2
Paper Title The Capacity of the Amplitude-Constrained Vector Gaussian Channel
Authors Antonino Favano, Politecnico di Milano, Italy; Marco Ferrari, CNR-IEIIT, Italy; Maurizio Magarini, Luca Barletta, Politecnico di Milano, Italy
Session D1-S7-T1: Gaussian Channels
Chaired Session: Tuesday, 13 July, 00:00 - 00:20
Engagement Session: Tuesday, 13 July, 00:20 - 00:40
Abstract The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigated under peak amplitude constraints on the norm of the input vector. New insights on the capacity-achieving input distribution are presented. Furthermore, it is provided an iterative algorithm to numerically evaluate both the information capacity and the optimal input distribution of such channel.