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<p>A full duplex (FD) communication system is a promising technology for 5G wireless applications for enhancing spectral efficiency (SE). This can be achieved by introducing pre-coders into the massive multiple input multiple output (MIMO) models. In this research, an uplink and downlink system-based two-way communication is emphasized for high-speed and efficient communication technology. Usually, the spectral efficiency of the uplink and downlink channel state information (CSI) is evaluated based on linear pre-coding techniques. Spectral efficiency (SE) is an essential aspect of assessing a massive MIMO system. This work presents an enhanced honey badger multi-cell minimum mean square error (MMSE) detection (EHBM3SED) model for uplink transmission in the full-duplex MIMO model. During uplink transmission, the MIMO system’s performance is degraded by high interference that arises among the cells. To overcome the intra and inter-cell interference, the hybrid block diagonalization (BD) and QR decomposition process is utilized. In addition, the zero forcing (ZF) pre-coder model is introduced for downlink transmission in the FD massive MIMO (FD-M-MIMO) model. The model’s spectrum efficiency is enhanced by the use of a spectral efficient honey badger optimization (SEHBO) model, which controls the power on the transmission channel. The Proposed model is implemented in the MATLAB platform, and the performance analysis is conducted and compared with existing methods. The model achieved an SE of 361.76bps/Hz for 300 antennas and 387.34bps/Hz for 45&#xa0;dB transmitted power.</p>

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Enhancing the spectral efficiency of full duplex massive MIMO system using EHBM3SED Detection model

  • 期刊论文

  • 发表日期：

    2025年3月4日

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  • Chanchal Soni,
  • Namit Gupta

摘要

A full duplex (FD) communication system is a promising technology for 5G wireless applications for enhancing spectral efficiency (SE). This can be achieved by introducing pre-coders into the massive multiple input multiple output (MIMO) models. In this research, an uplink and downlink system-based two-way communication is emphasized for high-speed and efficient communication technology. Usually, the spectral efficiency of the uplink and downlink channel state information (CSI) is evaluated based on linear pre-coding techniques. Spectral efficiency (SE) is an essential aspect of assessing a massive MIMO system. This work presents an enhanced honey badger multi-cell minimum mean square error (MMSE) detection (EHBM3SED) model for uplink transmission in the full-duplex MIMO model. During uplink transmission, the MIMO system’s performance is degraded by high interference that arises among the cells. To overcome the intra and inter-cell interference, the hybrid block diagonalization (BD) and QR decomposition process is utilized. In addition, the zero forcing (ZF) pre-coder model is introduced for downlink transmission in the FD massive MIMO (FD-M-MIMO) model. The model’s spectrum efficiency is enhanced by the use of a spectral efficient honey badger optimization (SEHBO) model, which controls the power on the transmission channel. The Proposed model is implemented in the MATLAB platform, and the performance analysis is conducted and compared with existing methods. The model achieved an SE of 361.76bps/Hz for 300 antennas and 387.34bps/Hz for 45 dB transmitted power.