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Weighted Sum Rate Maximization of Correlated MISO Broadcast Channels under Linear Precoding: A Large System Analysis

Abstract : In this paper, we study the iterative weighted sum rate (WSR) maximizing linear precoder algorithm proposed by Christensen et al. in large correlated MISO broadcast channels. We propose a novel approximation of the signal-to-interference plus noise ratio (SINR) at every iteration. Moreover, for independent and identical distributed channels the approximation of the WSR maximizing precoder is of closed form and has the well known regularized zero-forcing (RZF) structure. Simulation results show that under correlated channels, the novel SINR approximation is more accurate than previously proposed estimates based on the RZF precoder.
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Submitted on : Thursday, March 1, 2012 - 12:18:53 PM
Last modification on : Thursday, March 1, 2012 - 2:53:05 PM
Long-term archiving on: : Wednesday, December 14, 2016 - 9:01:52 AM

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Sebastian Wagner, Dirk Slock. Weighted Sum Rate Maximization of Correlated MISO Broadcast Channels under Linear Precoding: A Large System Analysis. 12th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Jun 2011, San Francisco, United States. pp.411 - 415, ⟨10.1109/SPAWC.2011.5990441⟩. ⟨hal-00675524⟩

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