Beamforming in MISO Systems: Empirical Results and EVM-based Analysis
Melissa Duarte, Ashutosh Sabharwal, Chris Dick, Raghu Rao

TL;DR
This paper provides an analytical, simulation, and experimental study of beamforming in MISO systems, introducing an AEVMS-based framework to compare results and analyze system performance under real-world imperfections.
Contribution
It develops a novel AEVMS-based analysis framework for beamforming MISO systems, enabling consistent comparison across analytical, simulation, and experimental results.
Findings
Efficient codebook-based beamforming is feasible despite imperfections.
AEVMS correlates with diversity and coding gains.
New expressions for AEVMS relate to system performance metrics.
Abstract
We present an analytical, simulation, and experimental-based study of beamforming Multiple Input Single Output (MISO) systems. We analyze the performance of beamforming MISO systems taking into account implementation complexity and effects of imperfect channel estimate, delayed feedback, real Radio Frequency (RF) hardware, and imperfect timing synchronization. Our results show that efficient implementation of codebook-based beamforming MISO systems with good performance is feasible in the presence of channel and implementation-induced imperfections. As part of our study we develop a framework for Average Error Vector Magnitude Squared (AEVMS)-based analysis of beamforming MISO systems which facilitates comparison of analytical, simulation, and experimental results on the same scale. In addition, AEVMS allows fair comparison of experimental results obtained from different wireless…
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