Source and channel coding for correlated sources over multiuser channels
IEEE Transactions on Information Theory
Monotonic optimization framework for the two-user MISO interference channel
IEEE Transactions on Communications
MIMO Z-interference channels: capacity under strong and noisy interference
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
An iterative algorithm for multi-user inference channel based on subspace projection
International Journal of Wireless and Mobile Computing
Array Processing for Multi-User Multi-Antenna Interference Channels Using Precoders
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
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Using Gaussian inputs and treating interference as noise at the receivers has recently been shown to be sum capacity achieving for the two-user single-input single-output (SISO) Gaussian interference channel in a low interference regime, where the interference levels are below certain thresholds. In this paper, such a low interference regime is characterized for multiple-input multiple-output (MIMO) Gaussian interference channels. Conditions are provided on the direct and cross channel gain matrices under which using Gaussian inputs and treating interference as noise at the receivers is sum capacity achieving. For the special cases of the symmetric multiple-input single-output (MISO) and single-input multiple-output (SIMO) Gaussian interference channels, more explicit expressions for the low interference regime are derived. In particular, the threshold on the interference levels that characterize low interference regime is related to the input SNR and the angle between the direct and cross channel gain vectors. It is shown that the low interference regime can be quite significant for MIMO interference channels, with the low interference threshold being at least as large as the sine of the angle between the direct and cross channel gain vectors for the MISO and SIMO cases.