Abstract
In this letter, we consider a multipoint-to-multipoint transmission system which employs a single relay in wireless networks where all source, destination and relay nodes are equipped with multiple antennas. For amplify-and-forward relay systems, we propose new linear processing strategies for maximizing the sum rate performance by applying a blockwise relaying method combined with convex optimization techniques. To reduce a computational complexity, we first consider a zero-forcing based relay only optimization scheme, which generate a closed-form solution in a non-iterative fashion. In order to further improve the sum rate at low signal-to-noise ratio regimes, we additionally design an enhanced relay filter by exploiting the blockwise relaying method based on a minimum mean-square error criterion. Simulation results show that the proposed relay design strategies outperform the existing conventional schemes in terms of the sum rate.
Original language | English |
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Article number | 5783010 |
Pages (from-to) | 2028-2033 |
Number of pages | 6 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 10 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2011 Jul |
Bibliographical note
Funding Information:This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No.2010-0017909), and in part by Seoul R&BD program (ST 090852). A part of this work was presented at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Tokyo, Japan, September 2009.
Keywords
- Multiple-input multiple-output (MIMO)
- amplify-and-forward (AF) relay
- blockwise relaying
- sum rate maximization
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics