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Randomization Approaches for Reducing PAPR with Partial Transmit Sequence and Semidefinite Relaxation
Hirofumi TSUDA Ken UMENO
IEICE TRANSACTIONS on Communications
Publication Date: 2021/03/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Transmission Systems and Transmission Equipment for Communications
orthogonal frequency division multiplexing (OFDM), peak-to-average power ratio (PAPR), partial transmit sequence, semidefinite relaxation, randomization algorithm,
Full Text: FreePDF
To reduce peak-to-average power ratio, we propose a method of choosing suitable vectors in a partial transmit sequence technique. Conventional approaches require that a suitable vector be selected from a large number of candidates. By contrast, our method does not include such a selecting procedure, and instead generates random vectors from the Gaussian distribution whose covariance matrix is a solution of a relaxed problem. The suitable vector is chosen from the random vectors. This yields lower peak-to-average power ratio than a conventional method.