Name
Abstract | ||
|---|---|---|
This paper addresses the problem of decoding and precoding in the K-user MIMO interference channels. At the receiver side, a joint decoding of the interference and the desired signal is able to improve the receive diversity order. At the transmitter side, we introduce a joint linear precoding design that maximizes the joint cut-off rate, known as a tight lower bound on the joint mutual information for high signal-to-noise ratio (SNR). We also derive a closed-form solution of the precoding matrices that maximizes the mutual information when the SNR is close to zero. This solution is characterized by its low computational complexity, and only requires a local channel state information knowledge at the transmitters. Our simulation results show that decoding interference jointly with the desired signal results in a significant improvement of the receive diversity order. Also a substantial bit error rate and sum-rate improvements are illustrated using the proposed precoding designs. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | precoding,decoding,computational complexity,channel coding |
Field | DocType | Citations |
Telecommunications,Multi-user MIMO,Computer science,MIMO,Algorithm,Real-time computing,Mutual information,Decoding methods,Zero-forcing precoding,Precoding,Bit error rate,Channel state information | Conference | 1 |
PageRank | References | Authors |
0.34 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasser Fadlallah | 1 | 38 | 4.19 |
| Amir Khandani | 2 | 73 | 8.02 |
| Karine Amis | 3 | 75 | 17.77 |
| Abdeldjalil Aïssa-El-Bey | 4 | 162 | 25.10 |
| Ramesh Pyndiah | 5 | 79 | 17.12 |