1. Low-Complexity Zero-Forcing Precoding for XL-MIMO Transmissions
- Author
-
Ribeiro, Lucas N., Stefan Schwarz, and Haardt, Martin
- Subjects
Signal Processing (eess.SP) ,FOS: Computer and information sciences ,Computer Science - Information Theory ,Information Theory (cs.IT) ,FOS: Electrical engineering, electronic engineering, information engineering ,Electrical Engineering and Systems Science - Signal Processing ,Computer Science::Information Theory - Abstract
Deploying antenna arrays with an asymptotically large aperture will be central to achieving the theoretical gains of massive MIMO in beyond-5G systems. Such extra-large MIMO (XL-MIMO) systems experience propagation conditions which are not typically observed in conventional massive MIMO systems, such as spatial non-stationarities and near-field propagation. Moreover, standard precoding schemes, such as zero-forcing (ZF), may not apply to XL-MIMO transmissions due to the prohibitive complexity associated with such a large-scale scenario. We propose two novel precoding schemes that aim at reducing the complexity without losing much performance. The proposed schemes leverage a plane-wave approximation and user grouping to obtain a low-complexity approximation of the ZF precoder. Our simulation results show that the proposed schemes offer a possibility for a performance and complexity trade-off compared to the benchmark schemes., Comment: Submitted to Eusipco 2021
- Published
- 2021