Comparison of MIMO and OFDM Systems for Rayleigh Channel for three different Data Forms

Reddy, Bhattagiri Lekhan; Kumar, Kunta Prasanth; Sai, Akula Shanmukha Naga Veera; Poorna, S. S.; Anuraj, K

doi:10.1109/icesc51422.2021.9532756

Cited by 1 publication

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“…As well as utilizing adaptive modulation and coding techniques, i.e., by adapting the modulation and coding methods according to the channel quality and data rate requirements, it can improve the performance and adaptability of OFDM systems. [7] And IM-OFDM, as a modulation scheme further optimized based on OFDM technology, has seen significant advances in system optimization for IM-FODM at a time when OFDM technology has advanced. For example, some researchers have proposed a deep learning-based IM-OFDM system optimization, i.e., a convolutional neural network (CNN)-based IM-OFDM system optimization scheme, which allows adaptive selection of subcarriers and antenna numbers.…”

Section: Introductionmentioning

confidence: 99%

System optimization for index modulated OFDM

Zhang¹

2023

HSET

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This paper introduces the system optimization scheme of OFDM-IM, an emerging modulation technology that combines OFDM technology and modulation index technology to improve spectral efficiency and system reliability while ensuring high-speed transmission. However, as a new technology, OFDM still has shortcomings. This paper investigates three system optimization schemes for OFDM-IM: he deep learning-based OFDM-IM optimization scheme, MIMO-OFDM-IM, and LDPC coding-assisted subcarrier index protection scheme. It is found that these three optimization schemes are indeed helpful for optimizing the performance of OFDM-IM through system simulation experiments. The IM-OFDM system optimization based on deep learning is very helpful for IM-OFDM in terms of channel estimation, signal detection, and modulation classification. MIMO-OFDM-IM can increase channel capacity and signal transmission reliability. By protecting the subcarrier index, LDPC codes can effectively reduce the subcarrier error rate and improve the reliability and performance of IM-OFDM systems. Due to their different technical characteristics, the three optimization schemes have different advantages. They also have their application scenarios in which they excel. However, considering these technologies are relatively new, there are still certain drawbacks to these three technologies. Researchers need to continue to study them in-depth and gradually overcome them.

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Section: Introductionmentioning

confidence: 99%

System optimization for index modulated OFDM

Zhang¹

2023

HSET

View full text Add to dashboard Cite

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Comparison of MIMO and OFDM Systems for Rayleigh Channel for three different Data Forms

Cited by 1 publication

References 13 publications

System optimization for index modulated OFDM

System optimization for index modulated OFDM

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