Name
Abstract | ||
|---|---|---|
To realize multiple-input multiple-output (MIMO) with low cost and low power consumption, the use of low-resolution digital-to-analog converters (DAC) is drawing significant interest. While previous studies on low-resolution DAC MIMO have focused on optimizing precoding for massive MIMO, this approach faces the limitation that the coarse resolution at the transmitter makes it difficult to construct a transmit signal close enough to the desired one when a small scale MIMO transmitter is considered as in IoT networks. To address this problem, we propose a new transmission framework that jointly performs modulation and beamforming. With the proposed scheme, a message symbol is directly mapped into a feasible transmit vector. We also develop a channel-adaptive mapping function within the proposed framework that minimizes error probability. Simulation results show that the proposed scheme can significantly improve the error performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVT.2019.2950308 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
MIMO communication,Precoding,Modulation,Transmitters,Array signal processing,Receivers | Journal | 69 |
Issue | ISSN | Citations |
1 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yonghee Han | 1 | 0 | 0.34 |
| Jungwoo Lee | 2 | 1467 | 156.34 |
| Rostom Zakaria | 3 | 138 | 15.57 |
| Didier Le Ruyet | 4 | 320 | 49.93 |