Iterative interference alignment for cellular systems with user selection

摘要

An iterative interference alignment algorithm for cellular systems with multiple signaling dimensions is introduced. The main invention is that we combine iterative interference alignment with user selection, which naturally increases the system sum rate by exploiting the multiuser diversity. Extensive simulations show significant gains over single cell processing and joint/coherent transmit schemes, also with partial channel state information.