The capacity of interference network is a fundamental issue that eludes the researchers for
decades. Interference alignment (IA) is an emerging interference management technique …

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

We show that the maximization of the sum degrees-of-freedom for the static flat-fading
multiple-input multiple-output (MIMO) interference channel (IC) is equivalent to a rank …

To solve dynamic system of linear equations with square or rectangular system matrices in
real time, a discrete-time Z-type model based on neural network is proposed and …

We introduce an opportunistic interference mitigation (OIM) protocol, where a user
scheduling strategy is utilized in K-cell uplink networks with time-invariant channel …

This paper presents a novel cross-tier interference management solution for coexisting two-
tier networks by exploiting cognition and coordination between tiers via the use of agile …

In this paper, we address the problem of interference alignment (IA) over MIMO interference
channels with limited channel state information (CSI) feedback based on quantization …

In the presence of perfect channel state information (CSI), the achievable degrees of
freedom (DoF) in wireless interference networks can be linearly scaled up with the number …

In this paper, the outage probability and outage-based beam design for multiple-input
multiple-output (MIMO) interference channels are considered. First, closed-form expressions …

Interference alignment (IA) is known to significantly increase sum-throughput at high SNR in
the presence of multiple interfering nodes, however, the reliability of IA is little known, which …