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May 3, 2011IEEE Transactions on Signal Processing

An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel

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Authors

QSQingjiang ShiTongji UniversityMRMeisam RazaviyaynUniversity of Southern California

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Implication

Randomized trial demonstrates effective signal optimization in MIMO cellular networks, indicating enhanced system throughput.

Key Points

  • The aim is to design an algorithm that maximizes system throughput in MIMO interfering broadcast channels.
  • Developed a linear transceiver design algorithm based on iterative minimization of weighted mean-square error.
  • Utilized local channel knowledge for beamformer optimization.
  • Conducted numerical experiments to validate the algorithm's effectiveness.
  • The proposed algorithm successfully converges to a stationary point for weighted sum-rate maximization.
  • Numerical experiments indicate significant improvement in system throughput compared to traditional methods.

Cite This Study

Shi et al. (2011) studied this question.

synapsesocial.com/papers/6a7ca66e1c02bd024a6ee516https://doi.org/10.1109/tsp.2011.2147784
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