Randomization Approaches for Reducing PAPR with Partial Transmit Sequence and Semidefinite Relaxation

Hirofumi TSUDA  Ken UMENO  

Publication
IEICE TRANSACTIONS on Communications   Vol.E104-B    No.3    pp.262-276
Publication Date: 2021/03/01
Publicized: 2020/09/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2019EBP3243
Type of Manuscript: PAPER
Category: Transmission Systems and Transmission Equipment for Communications
Keyword: 
orthogonal frequency division multiplexing (OFDM),  peak-to-average power ratio (PAPR),  partial transmit sequence,  semidefinite relaxation,  randomization algorithm,  

Full Text: FreePDF
Summary: 
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.