Abstract
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 language | English |
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Article number | 6126081 |
Pages (from-to) | 360-363 |
Number of pages | 4 |
Journal | IEEE Communications Letters |
Volume | 16 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2012 Mar |
Keywords
- Network MIMO
- Weighted sum mean square error (MSE) minimization
ASJC Scopus subject areas
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering