Interference alignment with hybrid optimization and receiver cooperation

We propose an interference alignment algorithm with receiver cooperation and hybrid optimization, in which both leakage interference is minimized and desired signal power is maximized simultaneously. Through receiver cooperation the precoding vectors computed at transmitters need not be known at each receiver, but rather are implicitly estimated cooperatively. The cooperative structure of the algorithm benefits from the fact that only knowledge of the sum of interference covariance matrices is enough to characterize the alignment problem statistically. The choice of full cooperation amongst all the receivers is shown to be optimum via a cooperative game theoretic argument. Simulation results show that the proposed algorithm with receiver cooperation and hybrid optimization outperforms the well known distributed interference alignment scheme proposed by Gomadam et al. [1]. The feasibility of interference alignment with the proposed algorithm is tested at low transmit power and higher transmit power for the achievable conditions.