Release Time:2020-07-11  Hits:

Indexed by: Journal Papers

Date of Publication: 2020-06-01

Journal: IEEE COMMUNICATIONS LETTERS

Included Journals: SCIE

Volume: 24

Issue: 6

Page Number: 1271-1274

ISSN: 1089-7798

Key Words: Peak to average power ratio; Training; Biological neural networks; Neurons; Bandwidth; Feedforward neural network; orthogonal frequency division multiplexing; peak-to-average power ratio; tone reservation

Abstract: A major defect of orthogonal frequency division multiplexing (OFDM) systems is the high peak-to-average power ratio (PAPR). In this letter, a novel scheme based on deep leaning, called tone reservation network (TRNet), is proposed for OFDM systems to improve the performance of the tone reservation (TR) technique. More specifically, TRNet reserves a part of tones to generate a peak-canceling signal. The feedforward neural network is used to adaptively generate a peak-canceling signal according to the characteristics of the input signal. Computer simulation results show that the proposed scheme provides a better PAPR reduction performance with fewer reserved tones, which is also beneficial to improve the bandwidth efficiency.