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arXiv · 2507.05897

Performance Analysis of Linear Detection under Noise-Dependent Fast-Fading Channels

Almutasem Bellah Enad·Jihad Fahs·Hadi Sarieddeen·Hakim Jemaa·Tareq Y. Al-Naffouri
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Abstract

This paper presents a performance analysis framework for linear detection in fast-fading channels with possibly correlated channel and noise. The framework is both accurate and adaptable, making it well-suited for analyzing a wide range of channel and noise models. As such, it serves as a valuable tool for the design and evaluation of detection algorithms in next-generation wireless communication systems. By characterizing the distribution of the effective noise after zero-forcing filtering, we derive a semi-analytical and asymptotic expression for the symbol error rate under Rayleigh fading and channel-dependent additive circular complex Gaussian noise. The proposed approach demonstrates excellent agreement with integration-based benchmarks as confirmed by numerical simulations thus validating its accuracy. The framework is flexible and can be extended to various channel and noise models, offering a valuable tool for the design and analysis of detection algorithms in next-generation communication systems.

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BibTeXRIS

Almutasem Bellah Enad, Jihad Fahs, Hadi Sarieddeen, Hakim Jemaa, Tareq Y. Al-Naffouri. 2025-07-08. Performance Analysis of Linear Detection under Noise-Dependent Fast-Fading Channels. https://arxiv.org/abs/2507.05897

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