Abstract:With the fast development of giant LEO constellations, the effective spectrum utilization has been regarded as one of the key orientations for satellite communications. This paper focuses on improving the spectrum utilization efficiency of satellite communications by proposing a non-continuous orthogonal frequency division multiplexing (NC-OFDM) method. Based on the models of NC-OFDM system, we first propose a sub-carrier allocation method by using spectrum sensing to efficiently perceive and utilize the spect… Show more
“…Although the MMSE equalizers perform superior to other linear equalization techniques, their complexity makes them impractical for scenarios involving long symbols, such as broadcasting applications. This is primarily due to the computationally intensive matrix inversion process, as indicated by equation (12). Many alternative equalizers have been devised to tackle the intricacies connected with MMSE equalization.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
confidence: 99%
“…The MMSE equations pose a challenge due to the computational complexity associated with matrix inversion, as demonstrated in equation (12). One innovative way to simplify the MMSE equations is to execute the matrix inversion iteratively.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
“…Satellite Communications: OFDM is employed in satellite communication systems to efficiently utilize satellite transponders and robust data transmission in challenging atmospheric conditions [12].…”
Intelligent transportation systems (ITS) have recently evolved rapidly, which requires development of highly trustworthy and effective communication technologies for uses, including vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) communication; where Orthogonal Frequency Division Multiplexing (OFDM) is regarded as a strong candidate and highly popular option technique among these methods. However, the movement of vehicles introduces Doppler frequencies which produce inter-carrier interference (ICI), that is frequently occurs in V2X channels. This interference has the potential to compromise the integrity of subcarrier orthogonality within OFDM, leading to lower-quality communication and an increased likelihood of data transmission errors. When employing channels with doubly dispersive fading, OFDM necessitates the usage of a complex equalization based on the minimum mean-square error (MMSE) equalizer, which requires channel matrix inversion. Several low-complexity equalizers for OFDM have been developed and are based on band factorization, time domain LSQR (Least-Square QR) iterative computing, and banded minimum mean squared error (BMMSE). This paper proposes Conjugate Gradient Least Squares (CGLS), which is a novel iterative computation algorithm integrated with nonlinear equalizers. The suggested nonlinear equalization technique determines the trade-off between computations and performance. According to simulation data, the suggested nonlinear equalizer performs better than the current BMMSE and linear CGLS algorithms across doubly dispersive fading channels.
“…Although the MMSE equalizers perform superior to other linear equalization techniques, their complexity makes them impractical for scenarios involving long symbols, such as broadcasting applications. This is primarily due to the computationally intensive matrix inversion process, as indicated by equation (12). Many alternative equalizers have been devised to tackle the intricacies connected with MMSE equalization.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
confidence: 99%
“…The MMSE equations pose a challenge due to the computational complexity associated with matrix inversion, as demonstrated in equation (12). One innovative way to simplify the MMSE equations is to execute the matrix inversion iteratively.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
“…Satellite Communications: OFDM is employed in satellite communication systems to efficiently utilize satellite transponders and robust data transmission in challenging atmospheric conditions [12].…”
Intelligent transportation systems (ITS) have recently evolved rapidly, which requires development of highly trustworthy and effective communication technologies for uses, including vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) communication; where Orthogonal Frequency Division Multiplexing (OFDM) is regarded as a strong candidate and highly popular option technique among these methods. However, the movement of vehicles introduces Doppler frequencies which produce inter-carrier interference (ICI), that is frequently occurs in V2X channels. This interference has the potential to compromise the integrity of subcarrier orthogonality within OFDM, leading to lower-quality communication and an increased likelihood of data transmission errors. When employing channels with doubly dispersive fading, OFDM necessitates the usage of a complex equalization based on the minimum mean-square error (MMSE) equalizer, which requires channel matrix inversion. Several low-complexity equalizers for OFDM have been developed and are based on band factorization, time domain LSQR (Least-Square QR) iterative computing, and banded minimum mean squared error (BMMSE). This paper proposes Conjugate Gradient Least Squares (CGLS), which is a novel iterative computation algorithm integrated with nonlinear equalizers. The suggested nonlinear equalization technique determines the trade-off between computations and performance. According to simulation data, the suggested nonlinear equalizer performs better than the current BMMSE and linear CGLS algorithms across doubly dispersive fading channels.
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