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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish
Article number8519795
Pages (from-to)136-151
Number of pages16
JournalIEEE Transactions on Wireless Communications
Issue number1
StatePublished - 1 Jan 2019


  • alternating direction method of multipliers (ADMM)
  • cloud radio access network (C-RAN)
  • distributed beamforming
  • improper signaling
  • multi-agent optimization
  • Multiple-input multiple-output interference broadcast channel (MIMO-IBC)

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