An Improved Blind Selected Mapping With Decoding Complexity Reduction For Orthogonal Frequency Division Multiplexing System
SLM is a well-known peak-to-average power ratio (PAPR) reduction technique that is capable of effectively reducing the system’s PAPR without distorting the signal. However, SLM causes a data rate loss issue due to the necessity for sending the selected iteration index to the receiver as side-informa...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.usm.my/51189/1/An%20Improved%20Blind%20Selected%20Mapping%20With%20Decoding%20Complexity%20Reduction%20For%20Orthogonal%20Frequency%20Division%20Multiplexing%20System.pdf |
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| Summary: | SLM is a well-known peak-to-average power ratio (PAPR) reduction technique that is capable of effectively reducing the system’s PAPR without distorting the signal. However, SLM causes a data rate loss issue due to the necessity for sending the selected iteration index to the receiver as side-information. To solve this issue, many blind SLM (BSLM) methods have been proposed in the literature. Such BSLM methods embed side-information in either pilot or data signals using phase or energy disparity forms. Hence, the receiver can blindly decode the signals using a maximum likelihood (ML) decoder. In this research, different data-based BSLM schemes with very low decoding complexity are proposed for both QAM and PSK modulation. The proposed BSLM schemes are broken down into three main stages for different system parameters ( |
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