Degrees of Freedom of MIMO X Networks: Spatial Scale Invariance, One-Sided Decomposability and Linear Feasibility

TL;DR

This paper determines the degrees of freedom for MIMO X networks, showing they scale with antennas and revealing a one-sided decomposability property that aligns with spatial scale invariance.

Contribution

It introduces the concept of one-sided decomposability for MIMO X networks, resolving a gap between inner and outer DoF bounds and extending results to SIMO and MISO configurations.

Findings

The degrees of freedom for MIMO X networks are AMN/(M+N-1).

MIMO X networks are only one-sided decomposable, not fully decomposable.

Linear interference alignment feasibility depends on the problem's properness.

Abstract

We show that an M X N user MIMO X network with A antennas at each node has AMN/(M+N-1) degrees of freedom (DoF), thus resolving in this case a discrepancy between the spatial scale invariance conjecture (scaling the number of antennas at each node by a constant factor will scale the total DoF by the same factor) and a decomposability property of overconstrained wireless networks. While the best previously-known general DoF outer bound is consistent with the spatial invariance conjecture, the best previously-known general DoF inner bound, inspired by the K user MIMO interference channel, was based on the decomposition of every transmitter and receiver into multiple single antenna nodes, transforming the network into an AM X AN user SISO X network. While such a decomposition is DoF optimal for the K user MIMO interference channel, a gap remained between the best inner and outer bound for the MIMO X channel. Here we close this gap with the new insight that the MIMO X network is only one-sided decomposable, i.e., either all the transmitters or all the receivers (but not both) can be decomposed by splitting multiple antenna nodes into multiple single antenna nodes without loss of DoF. The result is extended to SIMO and MISO X networks as well and in each case the DoF results satisfy the spatial scale invariance property. In addition, the feasibility of linear interference alignment is investigated based only on spatial beamforming without symbol extensions. Similar to MIMO interference networks, we show that when the problem is improper, it is infeasible.