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This manuscript examines Generalized Frequency Division Multiplexing (GFDM) as a viable alternative to Orthogonal Frequency Division Multiplexing (OFDM) for Beyond 5G (B5G) cellular networks. GFDM demonstrates outstanding performance by reducing out-of-band emissions (OOBE) and maximizing spectral efficiency (SE), positioning it as a compelling candidate. Integration with Multi-Input Multi-Output (MIMO) technology further enhances reliability through spatial diversity. This paper provides the closed-form ASER expressions for R-QAM and S-QAM STC-GFDM systems, taking into account imperfect channel state information at the receiver. The analysis is conducted under Rayleigh fading conditions. The paper also investigates the effects of various system parameters, including modulation order and the number of transmit and receive antennas. Furthermore, the numerical results are validated using Monte Carlo simulations.

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STC-GFDM System with Channel Estimation Error for Beyond 5G Wireless Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Surbhi Kalsotra,
  • A. K. Singh,
  • H. D. Joshi

摘要

This manuscript examines Generalized Frequency Division Multiplexing (GFDM) as a viable alternative to Orthogonal Frequency Division Multiplexing (OFDM) for Beyond 5G (B5G) cellular networks. GFDM demonstrates outstanding performance by reducing out-of-band emissions (OOBE) and maximizing spectral efficiency (SE), positioning it as a compelling candidate. Integration with Multi-Input Multi-Output (MIMO) technology further enhances reliability through spatial diversity. This paper provides the closed-form ASER expressions for R-QAM and S-QAM STC-GFDM systems, taking into account imperfect channel state information at the receiver. The analysis is conducted under Rayleigh fading conditions. The paper also investigates the effects of various system parameters, including modulation order and the number of transmit and receive antennas. Furthermore, the numerical results are validated using Monte Carlo simulations.