Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the use of the sign-selection technique to reduce the peak-to-average por ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) signal. In the sign-selection technique, a set of subcarrier signs is selected to significantly reduce the PAPR statistics for OFDM signals. Hover, the considerable computational complexity for an exhaustive search over all combinations of 2 L  different sign patterns is a potential problem for practical implementation, where  L  is the number of subcarriers. To reduce the computational complexity while still improving the PAPR statistics,  introduce the quantum-inspired evolutionary algorithm (QEA), an effective algorithm that solves various combinatorial optimization problems, to determine a good set of subcarrier signs. The computer simulation results show that as compared to the conventional selected mapping (SLM) scheme and the cross-entropy (CE) method, the proposed QEA obtains the desirable PAPR reduction with low computational complexity.
['Jung-Chieh Chen', 'Chao-Kai Wen']
I am writing a research paper on a idea A Low-Complexity Scheme to Reduce the PAPR of an OFDM Signal Using Sign-Selection Algorithms
[{"from": "human", "value": "I am writing a research paper on a idea A Low-Complexity Scheme to Reduce the PAPR of an OFDM Signal Using Sign-Selection Algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the use of the sign-selection technique to reduce the peak-to-average por ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) signal. In the sign-selection technique, a set of subcarrier signs is selected to significantly reduce the PAPR statistics for OFDM signals. Hover, the considerable computational complexity for an exhaustive search over all combinations of 2 L  different sign patterns is a potential problem for practical implementation, where  L  is the number of subcarriers. To reduce the computational complexity while still improving the PAPR statistics,  introduce the quantum-inspired evolutionary algorithm (QEA), an effective algorithm that solves various combinatorial optimization problems, to determine a good set of subcarrier signs. The computer simulation results show that as compared to the conventional selected mapping (SLM) scheme and the cross-entropy (CE) method, the proposed QEA obtains the desirable PAPR reduction with low computational complexity."}]