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 |
|---|---|
| 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 |
Bibliographical note
Funding Information:Manuscript received November 13, 2011. The associate editor coordinating the review of this letter and approving it for publication was W. Zhang. This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No.2010-0017909). H. Park, H. Kong, and I. Lee are with the School of Electrical Eng., Korea University, Seoul, Korea (e-mail: {jetaime01, kongbae, inkyu}@korea.ac.kr). S. Park is with the Agency for Defense Development, Daejeon, Korea (e-mail: [email protected]). Digital Object Identifier 10.1109/LCOMM.2012.010512.112300
Keywords
- Network MIMO
- Weighted sum mean square error (MSE) minimization
ASJC Scopus subject areas
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering