Name
Abstract | ||
|---|---|---|
Massive multiple-input multiple-output (MIMO) systems are of high interest for ultra-reliable low-latency communication (URLLC) links. They provide channel hardening, i.e. reduced channel variations, due to the large number of transmit antennas which exploit spatial diversity by beam-forming. Massive MIMO requires channel state information (CSI) on the base station side. For time-varying vehicular communication channels the CSI acquired during the uplink phase will be outdated for the following downlink phase, leading to reduced spatial channel hardening. We investigate a combination of massive MIMO with general orthogonal precoding (OP) to compensate this effect. OP uses two-dimensional precoding sequences in the time-frequency domain and provides channel hardening by exploiting time- and frequency diversity. We show that the combination of massive MIMO and OP is beneficial for time-varying communication channels. While the spatial channel hardening of massive MIMO decreases, the time-frequency channel hardening of OP increases with larger time-variance of the communication channel. An iterative receiver algorithm for massive MIMO with OP as well as a detailed analysis of the channel hardening effect is presented. We demonstrate a BER reduction by more than one order of magnitude for a velocity of 50 km/h D 16.6 m/s using the orthogonal frequency division multiplexing (OFDM) based 5G new radio (NR) physical layer. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2941316 | IEEE ACCESS |
Keywords | DocType | Volume |
5G,massive MIMO,orthogonal precoding,ultra-reliable low-latency communication (URLLC) links | Journal | 7 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Zemen | 1 | 591 | 67.00 |
| David Loschenbrand | 2 | 0 | 0.34 |
| Markus Hofer | 3 | 14 | 9.21 |
| Christoph Pacher | 4 | 19 | 6.15 |
| Benjamin Rainer | 5 | 0 | 0.34 |