Sum Capacity of Gaussian Vector Broadcast Channels

TLDR

Coordination is allowed among the transmit terminals, but not among the receive terminals. The paper characterizes the sum capacity of nondegraded Gaussian vector broadcast channels with a single transmitter having multiple terminals sending independent information to multiple receivers. The authors formulate a Gaussian mutual information game, treating the transmitter as a signal player selecting a covariance matrix to maximize mutual information while a fictitious noise player selects a noise correlation to minimize it. The sum capacity is achieved using a precoding strategy with additive side information noncausally known at the transmitter, and the optimal precoding structure corresponds to a decision‑feedback equalizer that decomposes the broadcast channel into a series of single‑user channels with interference pre‑subtracted at the transmitter.

Abstract

This paper characterizes the sum capacity of a class of potentially nondegraded Gaussian vector broadcast channels where a single transmitter with multiple transmit terminals sends independent information to multiple receivers. Coordination is allowed among the transmit terminals, but not among the receive terminals. The sum capacity is shown to be a saddle-point of a Gaussian mutual information game, where a signal player chooses a transmit covariance matrix to maximize the mutual information and a fictitious noise player chooses a noise correlation to minimize the mutual information. The sum capacity is achieved using a precoding strategy for Gaussian channels with additive side information noncausally known at the transmitter. The optimal precoding structure is shown to correspond to a decision-feedback equalizer that decomposes the broadcast channel into a series of single-user channels with interference pre-subtracted at the transmitter.