Multicell multicast beamforming with delayed SNR feedback

  • Authors:
  • Markus Jordan;Xitao Gong;Gerd Ascheid

  • Affiliations:
  • RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany

  • Venue:
  • GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
  • Year:
  • 2009

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Abstract

We evaluate the performance of beamforming in the downlink of a Single Frequency Network (SFN), in which common data is transmitted to all participating users simultaneously. The beamforming is jointly optimized for all cells in the network and for all users. The algorithm is based on spatio-temporal correlation knowledge (long term channel state information at the transmitter) and regularly updated, but possibly delayed, SNR information. In a first stage of this algorithm an estimator for the current SNR is built as a function of the beamforming weights. In a second stage of the algorithm, the beamforming weights are optimized in order to maximize the minimum SNR in the system.