Name
Abstract | ||
|---|---|---|
In massive multiple-input multiple-output (MIMO) uplink systems, phase noise introduced by oscillators can cause severe performance loss. It leads to common phase error and inter-carrier interference in massive MIMO-OFDM uplink. To solve the issue, a novel phase noise cancellation scheme based on polarization modulation is proposed. We first introduce the polarization modulation (PM) exploited in massive MIMO-OFDM uplink. Then, by exploiting zero-forcing detection, we analyze ICI and the distribution of the transformed noise. Furthermore, we demonstrate that phase noise can be asymptotically cancelled and only the transformed additive white Gaussian noise exists as the number of antennas at the base station is very lager. Moreover, we derive the instantaneous signal-to-noise ratio (SNR) on each subcarrier and analyze the ergodic capacity. The simulation results show that the proposed scheme can effectively mitigate phase noise and achieve a higher ergodic capacity. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/PIMRC.2018.8580988 | 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
Keywords | Field | DocType |
ergodic capacity,zero-forcing detection,phase noise,MIMO uplink systems,performance loss,common phase error,massive multiple-input multiple-output uplink systems,massive MIMO-OFDM systems,instantaneous signal-to-noise ratio,transformed additive white Gaussian noise,transformed noise,polarization modulation,phase noise cancellation scheme,massive MIMO-OFDM uplink,inter-carrier interference | Subcarrier,MIMO-OFDM,Topology,Base station,Computer science,Phase noise,MIMO,Real-time computing,Interference (wave propagation),Additive white Gaussian noise,Telecommunications link | Conference |
ISSN | ISBN | Citations |
2166-9570 | 978-1-5386-6010-2 | 0 |
PageRank | References | Authors |
0.34 | 22 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao Nie | 1 | 1 | 1.73 |
| Chunyan Feng | 2 | 305 | 38.57 |
| Fangfang Liu | 3 | 19 | 11.95 |
| Caili Guo | 4 | 166 | 34.00 |
| Huan Wu | 5 | 0 | 0.34 |