Constellation Design for Robust Interference Mitigation
Athanasios T. Papadopoulos, Thrassos K. Oikonomou, Dimitrios Tyrovolas, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, and George K. Karagiannidis

TL;DR
This paper introduces a new interference-aware detection method and optimized constellation design for single-carrier systems affected by Nakagami-m interference, improving symbol error rates in challenging interference conditions.
Contribution
It develops the ML-G detector that accounts for interference statistics and proposes a constellation optimization framework tailored to interference environments.
Findings
The ML-G detector outperforms standard detectors under Nakagami-m interference.
Optimized constellations adapt to interference, showing non-standard structures.
Simulation results confirm significant error rate improvements.
Abstract
This paper investigates symbol detection for single-carrier communication systems operating in the presence of additive interference with Nakagami-m statistics. Such interference departs from the assumptions underlying conventional detection methods based on Gaussian noise models and leads to detection mismatch that fundamentally affects symbol-level performance. In particular, the presence of random interference amplitude and non-uniform phase alters the structure of the optimal decision regions and renders standard Euclidean distance-based detectors suboptimal. To address this challenge, we develop the maximum-likelihood Gaussian-phase approximate (ML-G) detector, a low-complexity detection rule that accurately approximates maximum-likelihood detection while remaining suitable for practical implementation. The proposed detector explicitly incorporates the statistical properties of the…
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Taxonomy
TopicsWireless Signal Modulation Classification · Advanced Wireless Communication Techniques · Power Line Communications and Noise
