LAUSR

Most existing works of interference alignment focus on symmetric networks. When the difference of path loss is considered in asymmetric networks, topology management needs to be carefully designed for interference-alignment-based interference networks. Using topology management, the network is separated into an interference alignment subnetwork and some spatial multiplexing subnetworks. In this paper, antenna selection and power allocation techniques are exploited to further improve the performance of topology management in asymmetric interference networks. First, the antenna selection technique is applied to interference alignment subnetworks. Through fully utilizing the redundant antennas, more optional antenna combinations can be provided to achieve the diversity gain. Then, based on the geometric programming framework, the transmitted power is allocated among transmitters of both the interference alignment and spatial multiplexing subnetworks, to optimize the spectrum efficiency of the network. Based on these two techniques for the topology management scheme, the joint optimization of antenna selection and power allocation is developed through a stepped resource allocation optimization strategy to further improve the performance with low computational complexity. Simulation results are presented to show the effectiveness of the proposed algorithms.