Alternating minimization and steepest descent are commonly used strategies to obtain
interference alignment (IA) solutions in the K-user multiple-input multiple-output (MIMO) …

For interference alignment (IA) with no channel extension, determining the existence of IA
solution for general system parameters is still an open problem. This same problem also …

Interference is believed to be the most significant bottleneck for the next-generation wireless
networks to achieve high throughout. Interference alignment (IA), as a novel interference …

In this work we study the impact of having only incomplete channel state information at the
transmitters (CSIT) over the feasibility of interference alignment (IA) in a K-user MIMO …

Interference alignment (IA), given uncorrelated channel components and perfect channel
state information, obtains the maximum degrees of freedom in an interference channel. Little …

Consider a multiple input-multiple output (MIMO) interference channel where each
transmitter and receiver are equipped with multiple antennas. An effective approach to …

Alternating minimization algorithms are typically used to find interference alignment (IA)
solutions for multiple-input multiple-output (MIMO) interference channels with more than K …

Maddah-Ali and Tse recently introduced the idea of retrospective interference alignment, ie,
achieving interference alignment with only outdated (stale) channel state information at the …

It is well established that the employment of interference alignment (IA) in the interference
channel can enhance the achievable degrees of freedom (DOF) significantly. The feasibility …

To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the
interference from different transmitters must be aligned in lower-dimensional subspaces at …