Interference alignment (IA) is a linear precoding strategy that can achieve optimal capacity
scaling at high SNR in interference networks. Most of the existing IA designs require full …

To increase capacity and offload traffic from the current macro-cell cellular system, operators
are considering the deployment of small cells. It is expected that both the small and macro …

In this paper we examine delay limited adaptive quantization on the Grassmann manifold of
1-dimensional subspaces in n-dimensional space. Due to strict delay limits, vector …

We propose an adaptive quantization algorithm for subspace tracking on the Grassmann-
manifold of p-dimensional subspaces in the n-dimensional Euclidean space. This …

In this paper, we consider multi-user MIMO (MU-MIMO) based on block-diagonalization (BD)
precoding with limited feedback in the downlink of a cellular network. Non-codebook based …

In this work, we consider the use of interference alignment (IA) in a MIMO interference
channel (IC) under the assumption that each transmitter (TX) has access to channel state …

Multiple-antenna based transmitter cooperation has been established as a promising tool
towards avoiding, aligning, or shaping the interference resulting from aggressive spectral …

Obtaining accurate global channel state information (CSI) is critical for interference
alignment (IA), in particular for multiple-input multiple-output (MIMO) system with high …

This paper considers the problem of transmitter (TX) cooperation with distributed channel
state information (CSI), where two or more transmitters seek to jointly precode messages …

This paper studies the impact of channel error on the achievable rate of symmetrical K-user
multiple-input multiple-output linear interference alignment (IA) networks. The upper and …