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

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.

Automated summary

The proposed method reduces the peak-to-average power ratio by selecting suitable vectors from random vectors generated from a Gaussian distribution based on the covariance matrix of a relaxed problem, without the need for a selecting procedure.