Extended Blind Interference Alignment for Superior DoF in Multiple User-Clusters Networks

Abstract

Interference Alignment (IA) is a promising technique for interference elimination in wireless networks. However, it is difficult for IA to achieve the desired effect in practice since the channel state information at transmitter (CSIT) is always limited. In this paper, an extended blind interference alignment (eBIA) is proposed to enhance the performance of multi-cluster networks without CSIT. The theoretical analysis indicates that the proposed scheme can cancel the inter-cell and intra-cell interferences by relying on the single reconfigurable antenna of users. Meanwhile, this paper gives the relative comparisons with other existing algorithms on degree of freedom (DoF) and sum-rate. The simulation results demonstrate that the proposed scheme does indicate the better performance.