In this paper, we propose a distributed signal subspace interference alignment algorithm for single beam K − user ( 3 K ≥ ) MIMO interference channel based on sum rate maximization and game theory. A framework of game theory is provided to study relationship between interference signal subspace and altruistic-egoistic bayesian game cost function. We demonstrate that the asymptotic interference ...

This paper considers several linear beamformer design paradigms for multiuser time-invariant multiple-input multiple-output interference channels. Notably, interference alignment and sum-rate based algorithms such as the maximum signal-to-interference-plus noise (max-SINR) algorithm are considered. Optimal linear beamforming under interference alignment consists of two layers; an inner precoder...

In this paper, we consider a robust lattice alignment design for K-user quasi-static MIMO interference channels with imperfect channel knowledge. With random Gaussian inputs, the conventional interference alignment (IA) method has the feasibility problem when the channel is quasi-static. On the other hand, structured lattices can create structured interference as opposed to the random interfere...

According to the cooperation reception strategy and the hybrid optimization, an interference alignment algorithm is proposed. The algorithm can minimize leakage interference and maximize ideal receiption signal power. Firstly, according to the receiver cooperation technology, the pre-coding vectors of transmitter terminal can be estimated by receiver terminal, where these vectors need not be kn...

We consider the $K$ -user Multiple Input Output (MIMO) Gaussian interference channel with notation="LaTeX">$M$ antennas at each transmitter and notation="LaTeX">$N$ receiver. It is assumed that coefficients are constant real numbers a...