Orthogonal frequency division multiplexing (OFDM) is a popular multicarrier technique in communication system owing to its robustness against multipath fading and less complexity. Deep learning (DL) approach is more accurate and efficient than traditional approaches, which seeks more attention not only in the fields of natural language processing, video processing, speech and audio processing but also in the field of communication systems. The application of DL technique in OFDM systems supports better system performance, peak-to-average power ratio (PAPR) reduction, and improvement in spectral efficiency. This paper presents a detailed review of recent developments in DL techniques for OFDM systems to improve its performance in terms of bit error rate, signal-to-noise ratio, and PAPR. Various DL frameworks available for architectural design and processing are also explained in this article. The paper is concluded with a discussion on research gaps and challenges for future investigation and development.

M. Meenalakshmi

Saurabh Chaturvedi

Vivek K. Dwivedi

IETE Journal of Research

IETE JOURNAL OF RESEARCH 是由印度电子和电信工程师学会 (IETE) 出版的双月刊。它发表描述原始研究工作或新产品/工艺开发的科学和技术论文。偶尔会针对新的和新兴的研究领域提出特殊问题。 IETE 研究期刊对有兴趣跟踪在电子、电信、计算机科学与工程和信息技术等广泛领域进行的原始研究和开发工作的研究人员、工程师、科学家、教师、管理人员和学生很有用.

IETE Journal of Research is a bi-monthly publication by the Institution of Electronics and Telecommunication Engineers (IETE) in India. It publishes scientific and technical papers that describe original research work or the development of new products/processes. Special issues may occasionally be dedicated to new and emerging research areas. The IETE Journal of Research is valuable for researchers, engineers, scientists, educators, managers, and students interested in tracking original research and development work across a wide range of fields, including electronics, telecommunications, computer science and engineering, and information technology.

IETE Journal of Research 是由印度电子和电信工程师学会 (IETE) 出版的双月刊。该期刊发表关于原始研究工作或新产品/工艺开发的科学和技术论文。偶尔会针对新的和新兴的研究领域发布特刊。IETE Journal of Research 对于希望跟踪电子、电信、计算机科学与工程以及信息技术等广泛领域的原始研究和开发工作的研究人员、工程师、科学家、教师、管理人员和学生非常有价值。

Deep Learning Techniques for OFDM Systems

A detailed review of recent developments in DL techniques for OFDM systems to improve its performance in terms of bit error rate, signal-to-noise ratio, and PAPR is presented.

Category	Quartile
计算机科学	4
计算机科学, 工程电子与电气	4
计算机科学, 电信学	4

Deep Learning Techniques for OFDM Systems

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