On the Optimal Radius and Subcarrier Mapping for Binary Modulation on Conjugate-Reciprocal Zeros

TL;DR

This paper analyzes the optimal radius and subcarrier mapping strategies for binary modulation using conjugate-reciprocal zeros, demonstrating how decoder choice influences optimal parameters and proposing a flexible OFDM waveform with trade-offs.

Contribution

It reveals the dependency of optimal radius on the decoder type, compares ML and DiZeT decoders, and introduces a new OFDM waveform with improved robustness and PAPR characteristics.

Findings

ML decoder outperforms DiZeT in AWGN and fading channels.

Optimal radius depends on the decoder used.

Proposed OFDM waveform reduces distortion at higher PAPR.

Abstract

In this work, we investigate the radius maximizing reliability for binary modulation on conjugate-reciprocal zeros (BMOCZ) implemented with both maximum likelihood (ML) and direct zero-testing (DiZeT) decoders. We first show that the optimal radius for BMOCZ is a function of the employed decoder and that the radius maximizing the minimum distance between polynomial zeros does not maximize the minimum distance of the final code. While maximizing zero separation offers an almost optimal solution with the DiZeT decoder, simulations show that the ML decoder outperforms the DiZeT decoder in both additive white Gaussian noise (AWGN) and fading channels when the radius is chosen to maximize codeword separation. Finally, we analyze different sequence-to-subcarrier mappings for BMOCZ-based orthogonal frequency division multiplexing (OFDM). We highlight a flexible time-frequency OFDM waveform that avoids distortion introduced by a frequency-selective channel at the expense of a higher peak-to-average power ratio (PAPR).