Degrees of freedom in vector interference channels
David Stotz, Helmut B\"olcskei

TL;DR
This paper derives a unified formula for the degrees of freedom in vector interference channels, extending previous scalar results to MIMO and complex channels, and linking interference alignment with information dimension theory.
Contribution
It provides a single-letter DoF formula for vector ICs, unifying classical interference alignment and number-theoretic schemes, and extends results to complex channels.
Findings
Derived a DoF formula applicable to MIMO and complex ICs.
Unified treatment of interference alignment and number-theoretic schemes.
Showed most parallel ICs are DoF-separable.
Abstract
This paper continues the Wu-Shamai-Verdu program [3] on characterizing the degrees of freedom (DoF) of interference channels (ICs) through Renyi information dimension. Specifically, we find a single-letter formula for the DoF of vector ICs, encompassing multiple-input multiple-output (MIMO) ICs, time- and/or frequency-selective ICs, and combinations thereof, as well as scalar ICs as considered in [3]. The DoF-formula we obtain lower-bounds the DoF of all channels--with respect to the choice of the channel matrix--and upper-bounds the DoF of almost all channels. It applies to a large class of noise distributions, and its proof is based on an extension of a result by Guionnet and Shlyakthenko [3] to the vector case in combination with the Ruzsa triangle inequality for differential entropy introduced by Kontoyiannis and Madiman [4]. As in scalar ICs, achieving full DoF requires the use of…
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