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Spatial modulation (SM) and its derivatives, including Enhanced Spatial Modulation (ESM) and Generalized Spatial Modulation (GSM), are effective methods for enhancing the bit error rate (BER) and data throughput in multiple-input multiple-output (MIMO) systems. Nevertheless, there has been a restricted examination of their performance in generalized fading settings. This study utilizes machine learning methods in conjunction with Monte Carlo MATLAB simulations to assess the Symbol Error Rate (SER) for SM, GSM, and ESM in coupled Nakagami-m fading channels. The experimental results show that ESM consistently performs better than SM and GSM, even when there is correlated fading, achieving superior error rate performance. ESM outperforms both SM and GSM in their best-case scenarios, demonstrating its superior performance in difficult channel conditions. The results emphasize the capability of ESM to enhance the dependability and effectiveness of future wireless systems.

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Machine Learning-Based Performance Evaluation of Spatial Modulation Schemes in Correlated Nakagami-m Fading Channels

  • 会议论文

  • 发表日期：

    2025年

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  • Sagar B. Patel,
  • Dharmendra V. Chauhan,
  • Hardik P. Modi,
  • Vishwa Bharkhada,
  • Sagar Kavaiya,
  • Vasim Vohra

摘要

Spatial modulation (SM) and its derivatives, including Enhanced Spatial Modulation (ESM) and Generalized Spatial Modulation (GSM), are effective methods for enhancing the bit error rate (BER) and data throughput in multiple-input multiple-output (MIMO) systems. Nevertheless, there has been a restricted examination of their performance in generalized fading settings. This study utilizes machine learning methods in conjunction with Monte Carlo MATLAB simulations to assess the Symbol Error Rate (SER) for SM, GSM, and ESM in coupled Nakagami-m fading channels. The experimental results show that ESM consistently performs better than SM and GSM, even when there is correlated fading, achieving superior error rate performance. ESM outperforms both SM and GSM in their best-case scenarios, demonstrating its superior performance in difficult channel conditions. The results emphasize the capability of ESM to enhance the dependability and effectiveness of future wireless systems.