Upper and Lower Bounds on the Capacity of Amplitude-Constrained MIMO Channels
Alex Dytso, Mario Goldenbaum, Shlomo Shamai (Shitz), H. Vincent Poor

TL;DR
This paper derives new upper and lower bounds on the capacity of MIMO channels with amplitude constraints, showing they are tight in high amplitude regimes and scale linearly with antenna numbers.
Contribution
It introduces novel bounds for amplitude-constrained MIMO channel capacity, providing tight estimates and scaling behavior insights.
Findings
Bounds are within a constant gap for invertible channel matrices.
Bounds are tight in high amplitude regimes.
Capacity scales linearly with the minimum of transmit and receive antennas.
Abstract
In this work, novel upper and lower bounds for the capacity of channels with arbitrary constraints on the support of the channel input symbols are derived. As an immediate practical application, the case of multiple-input multiple-output channels with amplitude constraints is considered. The bounds are shown to be within a constant gap if the channel matrix is invertible and are tight in the high amplitude regime for arbitrary channel matrices. Moreover, in the high amplitude regime, it is shown that the capacity scales linearly with the minimum between the number of transmit and receive antennas, similarly to the case of average power-constrained inputs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
