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Abbas Ali Sharifi

Abbas Ali Sharifi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex: 0/00
Faculty: Faculty of Engineering
Address:
Phone: 041-37745000

Research

Title
A novel bio-inspired optimization algorithm for solving peak-to-average power ratio problem in DC-biased optical systems
Type
JournalPaper
Keywords
Evolutionary algorithms Nature-inspired meta-heuristics Tree growth optimization (TGO) algorithm DCO-OFDM
Year
2020
Journal OPTICAL FIBER TECHNOLOGY
DOI
Researchers Hojjat Emami ، Abbas Ali Sharifi

Abstract

In this paper, a tree growth optimization (TGO) algorithm is introduced to diminish the computational complexity of the partial transmit sequence in exploring the optimal phase factors. The proposed TGO algorithm is an efficient method for reducing the high peak-to-average power ratio of optical orthogonal frequency division multiplexing signals. The problem of the peak-to-average power ratio causes inter-modulation between sub-carriers due to the non-linearity of the fiber optics and some devices such as power amplifiers and analog-to-digital converter. The performance of the proposed algorithm is evaluated using a set of benchmarks and compared with several counterpart methods. The results reveal that the TGO outperforms its counterparts in terms of solution quality and computational complexity.