Weighted sum MSE minimization under per-BS power constraint for network MIMO systems

Haewook Park, Seok Hwan Park, Han Bae Kong, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


We study joint processing (JP) for network MIMO systems where base stations exchange the user's message and channel state information under per-BS power constraint. In this letter, we propose a weighted sum mean square error (WS-MSE) minimization algorithm for the JP systems by considering the channel gain as the weight factor in the MSE metric. To efficiently solve the formulated WS-MSE problem, an alternating optimization method which iteratively finds a local optimal solution is employed in our algorithm. The simulation results confirm that the proposed algorithm provides the sum rate performance close to the near-optimal gradient ascent approach and outperforms conventional schemes. In addition, we also propose a modified WS-MSE design which is robust to channel mismatch caused by channel estimation and feedback errors.

Original languageEnglish
Article number6126081
Pages (from-to)360-363
Number of pages4
JournalIEEE Communications Letters
Issue number3
Publication statusPublished - 2012 Mar


  • Network MIMO
  • Weighted sum mean square error (MSE) minimization

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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