We propose a quantum-assisted solution for the maximum likelihood detection (MLD) of generalized spatial modulation (GSM) signals. Specifically, the MLD of GSM is first formulated as a novel polynomial optimization problem, followed by the application of a quantum algorithm, namely, the Grover adaptive search. The performance in terms of query complexity of the proposed method is evaluated and compared to the classical alternative via a numerical analysis, which reveals that under fault-tolerant quantum computation, the proposed method outperforms the classical solution if the number of data symbols and the constellation size are relatively large.
Grover Adaptive Search for Maximum Likelihood Detection of Generalized Spatial Modulation
07.10.2024
23854850 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Generalized Maximum Likelihood for Cross-Polarization Modulation Effects Compensation
British Library Online Contents | 2015
|NTIS | 1973
An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation
British Library Online Contents | 2016
|