On the Bit Error Probability of DMA-Based Systems
Nemanja Stefan Perovi\'c
TL;DR
This paper investigates the bit error probability in DMA-based systems, proposing an iterative optimization algorithm for transmit precoding and DMA weights, with proven convergence and complexity analysis.
Contribution
It introduces a novel iterative optimization method for BEP minimization in DMA systems, addressing a gap in adaptive signal processing for metasurface antennas.
Findings
The proposed algorithm converges reliably.
It effectively optimizes transmit precoding and DMA weights.
Complexity analysis supports practical implementation.
Abstract
Dynamic metasurface antennas (DMAs) are an alternative application of metasurfaces as active reconfigurable antennas with advanced analog signal processing and beamforming capabilities, which have been proposed to replace conventional antenna arrays for next generation transceivers. Motivated by this, we investigate the bit error probability (BEP) optimization in a DMA-based system, propose an iterative optimization algorithm, which adjusts the transmit precoder and the weights of the DMA elements, prove its convergence and derive complexity.
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Taxonomy
TopicsAnalog and Mixed-Signal Circuit Design · CCD and CMOS Imaging Sensors · Advanced Data Compression Techniques