In this paper we consider interference covariance shaping for interference coordination in the MIMO Z-Interference Channel. Commonly, non-orthogonal access to wireless resources is controlled via interference power management, so-called interference temperatures. Spatial covariance shaping, however, facilitates a more efficient utilization of wireless resources by the reduction of uncertainty in the perceived interference at receive terminals. To this end, we propose low complexity schemes based on quality of service constraints for the design of suitable interference covariances. Our results are applicable to a variety of resource allocation problems in cellular networks, including Device-to-Device communication and Full-Duplex systems.
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In this paper we consider interference covariance shaping for interference coordination in the MIMO Z-Interference Channel. Commonly, non-orthogonal access to wireless resources is controlled via interference power management, so-called interference temperatures. Spatial covariance shaping, however, facilitates a more efficient utilization of wireless resources by the reduction of uncertainty in the perceived interference at receive terminals. To this end, we propose low complexity schemes based...
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