Energy-Efficient and Low-Complexity Spatial Modulation System with Deep Neural Network-Based Capacity-Optimized Antenna Selection Derin Sinir Aǧi Tabanli Kapasite Optimizasyonlu Anten Seçimi ile Enerji Verimli ve Düşük Karmaşiklikli Uzaysal Modülasyon Sistemi


ÇÖGEN F., ÖZDEN B. A., AYDIN E.

2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024, Bursa, Türkiye, 28 - 30 Kasım 2024, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/eleco64362.2024.10847098
  • Basıldığı Şehir: Bursa
  • Basıldığı Ülke: Türkiye
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this paper, a new telecommunication system with high data rate, energy efficiency, and low complexity is proposed by combining COAS and spatial modulation (SM) using a DNN. The proposed technique is the integration of DNN, COAS and SM and is referred to as DNN-COAS-SM (DCS). Spatial modulation improves data transmission efficiency by encoding additional information using the indices of active antennas. The proposed DCS system improves system performance and reduces complexity by using a DNN-based COAS technique to optimize antenna selections. The integration of DNN into the antenna selection process improves the speed of decision-making, ensuring high performance even in complex communication environments. Evaluated in Rayleigh fading channels using M-QAM, this system shows improvement in bit error rate performance compared to conventional SM systems. Moreover, since DCS is DNN-based, the proposed system requires less computational overhead than conventional COAS systems