Abstract
The block diagonalization (BD) is a linear precoding technique for multi-user multi-input multi-output (MIMO) broadcast channels, which is able to completely eliminate the multi-user interference (MUI), but it is not computationally efficient. In this paper, we propose the block diagonal Jacket matrix decomposition, which is able not only to extend the conventional block diagonal channel decomposition but also to achieve the MIMO broadcast channel capacity. We also prove that the QR algorithm achieves the same sum rate as that of the conventional BD scheme. The complexity analysis shows that our proposal is more efficient than the conventional BD method in terms of the number of the required computation.
| Original language | English |
|---|---|
| Article number | 95 |
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Eurasip Journal on Wireless Communications and Networking |
| Volume | 2014 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2014.12.1 |
Keywords
- Block diagonalization
- Broadcast channel
- Diagonal Jacket matrix
- Eigenvalue decomposition
- Multi-user MIMO
- Precoding
- QR decomposition
Quacquarelli Symonds(QS) Subject Topics
- Computer Science & Information Systems
- Data Science
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