Optimized Transmission with Improper Gaussian Signaling in the K-User MISO Interference Channel
Yong Zeng, Rui Zhang, Erry Gunawan, and Yong Liang Guan

TL;DR
This paper explores how improper Gaussian signaling can be optimized in a K-user MISO interference channel to enhance achievable rates, introducing a novel algorithm that leverages pseudo-covariance matrices and semidefinite relaxation techniques.
Contribution
It proposes a separate optimization algorithm for transmit covariance and pseudo-covariance matrices, establishing the optimality of rank-1 pseudo-covariance matrices for improved rate regions.
Findings
Improved achievable rates over proper Gaussian signaling.
Optimality of rank-1 pseudo-covariance matrices.
Efficient semidefinite relaxation-based solution.
Abstract
This paper studies the achievable rate region of the K-user Gaussian multiple-input single-output interference channel (MISO-IC) with the interference treated as noise, when improper or circularly asymmetric complex Gaussian signaling is applied. The transmit optimization with improper Gaussian signaling involves not only the signal covariance matrix as in the conventional proper or circularly symmetric Gaussian signaling, but also the signal pseudo-covariance matrix, which is conventionally set to zero in proper Gaussian signaling. By exploiting the separable rate expression with improper Gaussian signaling, we propose a separate transmit covariance and pseudo-covariance optimization algorithm, which is guaranteed to improve the users' achievable rates over the conventional proper Gaussian signaling. In particular, for the pseudo-covariance optimization, we establish the optimality of…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Wireless Communication Security Techniques
