An interference alignment based on joint projector interference distances

Interference alignment (IA) effectively improves the capacity of interference channel by overlapping the interference and eliminating at the receivers. At present, most algorithms of the distributed interference alignments design precoder and receiver filter at both transmitters and receivers which causes overhead. This paper presents an improved interference alignment based on minimizing projector interference distances, introduces joint distance and optimizes the subspace projector distances between interference and desired signals to achieve interference alignment by steepest descent algorithm based on complex Grassmann manifold. The proposed algorithm alleviates the overhead for designing precoding matrixes at one side. Simulation results suggest that the proposed approach obtains higher sum rate compared with the previous algorithms and faster rate of convergence compared with the old approach only based on the projector interference distances.