Abstract
Digital beamforming is a crucial technology that enables fifth-generation (5G) devices to operate on millimeter wave (mmW) radio frequencies. However, linearizing massive arrays at the transmitter (TX) side remains a significant challenge as the complexity scales with the number of antennas. This work focuses on the orthogonal frequency division multiplexing (OFDM) modulation in 5G and beyond networks and presents low-complexity linearization approaches that can be used before the precoder. These approaches do not scale with the number of antennas and provide flexible control of the linearization performance across different parts of the spectrum. Simulation results for a 64-element uniform linear array (ULA) demonstrate that the proposed techniques can achieve performance comparable to conventional multi-digital pre-distortion (DPD) with only 8.91% and 3.52% of the complexity. © 2023 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) - Proceedings |
| Publisher | IEEE |
| ISBN (Electronic) | 979-8-3503-1114-3, 979-8-3503-1113-6 |
| ISBN (Print) | 979-8-3503-1115-0 |
| DOIs | |
| Publication status | Published - 2023 |
| Externally published | Yes |
| Event | 97th IEEE Vehicular Technology Conference (VTC2023-Spring) - Firenzefiera Congress and Exhibition Center, Florence, Italy Duration: 20 Jun 2023 → 23 Jun 2023 https://events.vtsociety.org/vtc2023-spring/ |
Publication series
| Name | IEEE Vehicular Technology Conference |
|---|---|
| ISSN (Print) | 1090-3038 |
| ISSN (Electronic) | 2577-2465 |
Conference
| Conference | 97th IEEE Vehicular Technology Conference (VTC2023-Spring) |
|---|---|
| Country/Territory | Italy |
| City | Florence |
| Period | 20/06/23 → 23/06/23 |
| Internet address |
Research Keywords
- beam-oriented digital predistortion (DPD)
- Digital beamforming
- neural network (NN)
- orthogonal frequency division multiplexing (OFDM)