Name
Abstract | ||
|---|---|---|
We consider a multiple-input multiple-output (MIMO) channel with inter-symbol interference (ISI) where signal detection is highly complex due to the large signal state-space dimensionality. A common strategy is to apply a front-end filter (FEF) to eliminate the ISI dimension (i.e. full ISI equalization). This FEF is then followed by a frequency non-selective MIMO detector. However, another, much less researched, strategy is to apply an FEF that eliminates the MIMO dimension and results in a set of parallel ISI channels followed by a bank of parallel single-input single-output (SISO) detectors. Which of the two strategies is better in a Shannon capacity sense? In this paper, we show that the answer to this question depends on system parameters such as SNR, number of antennas, ISI duration, and spatial correlation properties. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE | Demodulation,Multi-user MIMO,Spatial correlation,3G MIMO,Equalization (audio),Control theory,Computer science,Algorithm,MIMO,Real-time computing,Nyquist ISI criterion,Channel capacity |
DocType | ISSN | Citations |
Conference | 1525-3511 | 1 |
PageRank | References | Authors |
0.35 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sha Hu | 1 | 196 | 9.71 |
| Fredrik Rusek | 2 | 2417 | 144.66 |
| Naofal Al-Dhahir | 3 | 2755 | 319.65 |