Abstract
In this paper, we propose a new design strategy based on the minimum mean-squared error (MMSE) in closed-loop non-regenerative multiple-input multiple-output relaying systems. Instead of conventional singular value decomposition based methods, we address the problem for joint MMSE design in a different approach using the Wiener filter solution which leads to simple derivations of the optimal MMSE designs. First, allowing the channel state information (CSI) at the source, we provide a new closed form solution for a source-relay-destination joint MMSE design by extending existing relay-destination joint MMSE designs. Second, for the limited feedback scenario, we address a codebook design criteria for the multiple streams precoding design with respect to the MMSE criterion. From our design strategy, we observe that compared to conventional non-regenerative relaying systems, the source or the destination only needs to know the CSI corresponding to its own link such as the source-to-relay or the relay-to-destination in view of the MMSE. Simulation results show that the proposed design gives about 7.5dB gains at a bit error rate of 10-4 over existing relay-destination joint MMSE schemes and we can get close to the optimal unquantized schemes with only a few feedback bits.
Original language | English |
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Article number | 5508982 |
Pages (from-to) | 2310-2319 |
Number of pages | 10 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 9 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2010 Jul |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0017909). This paper was presented in part at the IEEE Global Communications Conference (GLOBECOM), Honolulu, USA, December 2009.
Keywords
- Relay
- channel state information (CSI)
- joint transceiver design
- limited feedback
- minimum mean-squared error (MMSE)
- multiple-input multiple-output (MIMO)
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics