Multi-Agent Distributed Beamforming with Improper Gaussian Signaling for MIMO Interference Broadcast Channels

Jhe Yi Lin, Ronald Y. Chang*, Chia-Han Lee, Hen Wai Tsao, Hsuan Jung Su

*此作品的通信作者

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

For rate optimization in interference limited networks, improper Gaussian signaling has shown its ability to outperform conventional proper Gaussian signaling. In this paper, we study a weighted sum-rate maximization problem with improper Gaussian signaling for the multiple-input multiple-output interference broadcast channel. To solve this nonconvex and NP-hard problem, we propose an effective separate covariance and pseudo-covariance matrices optimization algorithm. In the covariance optimization, a weighted minimum mean square error algorithm is adopted, and in the pseudo-covariance optimization, an alternating optimization (AO) algorithm is proposed, which guarantees convergence to a stationary solution and ensures a sum-rate improvement over proper Gaussian signaling. An alternating direction method of multipliers-based multi-agent distributed algorithm is proposed to solve an AO subproblem with the globally optimal solution in a parallel and scalable fashion. The proposed scheme exhibits favorable convergence, optimality, and complexity properties for future large-scale networks. The simulation results demonstrate the superior sum-rate performance of the proposed algorithm as compared with the existing schemes with proper as well as improper Gaussian signaling under various network configurations.

原文English
文章編號8519795
頁(從 - 到)136-151
頁數16
期刊IEEE Transactions on Wireless Communications
18
發行號1
DOIs
出版狀態Published - 1 1月 2019

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