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Encoding and Decoding with Partitioned Complementary Sequences for Low-PAPR OFDM

2021/09/15 by Alphan Şahin, Alphan Sahin, Sahin, Alphan · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #PAPR reduction in OFDM #Wireless Communication Networks Research #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.2109.07433

13 pages, to appear in IEEE Transactions on Wireless Communications

arxiv created 2021/09/15 · openalex publication_date 2021/09/15 · arxiv updated 2021/09/16 · openalex created_date 2022/07/25 · openalex updated_date 2026/08/04

Abstract

In this study, we propose partitioned complementary sequences (CSs) where the gaps between the clusters encode information bits to achieve low peak-to-average-power ratio (PAPR) orthogonal frequency division multiplexing (OFDM) symbols. We show that the partitioning rule without losing the feature of being a CS coincides with the non-squashing partitions of a positive integer and leads to a symmetric separation of clusters. We analytically derive the number of partitioned CSs for given bandwidth and a minimum distance constraint and obtain the corresponding recursive methods for enumerating the values of separations. We show that partitioning can increase the spectral efficiency (SE) without changing the alphabet of the nonzero elements of the CS, i.e., standard CSs relying on Reed-Muller (RM) code. We also develop an encoder for partitioned CSs and a maximum-likelihood-based recursive decoder for additive white Gaussian noise (AWGN) and fading channels. Our results indicate that the partitioned CSs under a minimum distance constraint can perform similar to the standard CSs in terms of average block error rate (BLER) and provide a higher SE at the expense of a limited signal-to-noise ratio (SNR) loss.

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