Transmit Beamforming for Interference Exploitation in the Underlay Cognitive Radio Z-channel
Ka Lung Law, Christos Masouros, Marius Pesavento

TL;DR
This paper proposes advanced transmit beamforming techniques for cognitive radio Z-channels that leverage interference information to enhance secondary user QoS while maintaining primary user protection, using convex optimization methods.
Contribution
It introduces interference exploitation beamforming schemes for CR Z-channels, transforming a probabilistic problem into a convex optimization for practical implementation.
Findings
Significant performance improvements over conventional beamforming.
Comparable computational complexity to traditional methods.
Guarantees primary user QoS on an instantaneous basis.
Abstract
This paper introduces novel transmit beamforming approaches for the cognitive radio (CR) Z-channel. The proposed transmission schemes exploit non-causal information about the interference at the SBS to re-design the CR beamforming optimization problem. This is done with the objective to improve the quality of service (QoS) of secondary users by taking advantage of constructive interference in the secondary link. The beamformers are designed to minimize the worst secondary user's symbol error probability (SEP) under constraints on the instantaneous total transmit power, and the power of the instantaneous interference in the primary link. The problem is formulated as a bivariate probabilistic constrained programming (BPCP) problem. We show that the BPCP problem can be transformed for practical SEPs into a convex optimization problem that can be solved, e.g., by the barrier method. A…
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