Transmit beamforming for MISO broadcast channels with statistical and delayed CSIT

Mingbo Dai, Bruno Clerckx

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


This paper focuses on linear beamforming design and power allocation strategy for ergodic rate optimization in a two-user Multiple-Input Single-Output (MISO) system with statistical and delayed channel state information at the transmitter (CSIT). We propose a transmission strategy, denoted as Statistical Alternative MAT (SAMAT), which exploits both channel statistics and delayed CSIT. Firstly, with statistical CSIT only, we focus on statistical beamforming (SBF) design that maximizes a lower bound on the ergodic sum-rate. Secondly, relying on both statistical and delayed CSIT, an iterative algorithm is proposed to compute the precoding vectors of Alternative MAT (AMAT), originally proposed by Yang et al., which maximizes an approximation of the ergodic sum-rate with equal power allocation. Finally, via proper power allocation, the SAMAT framework is proposed to softly bridge between SBF and AMAT for an arbitrary number of transmit antennas and signal-to-noise ratio (SNR). A necessary condition for the power allocation optimization is identified from the Karush-Kuhn-Tucker (KKT) conditions. The optimum power allocation to maximize an ergodic sum-rate approximation is computed using Sequential Quadratic Programming (SQP). Simulation results show that the proposed SAMAT scheme yields a significant sum-rate enhancement over both SBF and AMAT.

Original languageEnglish
Article number7006766
Pages (from-to)1202-1215
Number of pages14
JournalIEEE Transactions on Communications
Issue number4
Publication statusPublished - 2015 Apr 1

Bibliographical note

Publisher Copyright:
© 2015 IEEE.


  • MISO systems
  • SQP
  • delayed CSIT
  • power allocation
  • statistical CSIT
  • statistical beamforming

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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