name: SISO
full_form: Soft-Input-Soft-Output decoder
context: See B.2.1.27. The uncertainty value of influence of noise is estimated as below table and used across clause B. Editorâs Note: For ACLR, all applicable configurations need to be added. Table B.2.2.27-1: Uncertainty value for influence of noise for PC3, SISO for IFF Table B.2.2.27-1a: Uncertainty value for influence of noise for PC3, MIMO for IFF Table B.2.2.27-2: Uncertainty value for influence of noise for PC1, SISO for IFF Table B.2.2.27-2a: Uncertainty value for influence of noise for PC1, MIMO for IFF Table B.2.2.27-3: Uncertainty value for influence of noise for PC5, SISO for IFF Table B.2.2.27-3a: Uncertainty value for influence of noise for PC5, MIMO for IFF Table B.2.2.27-4: Uncertainty value for influence of noise for PC6 for IFF
description: Soft-Input-Soft-Output (SISO) decoder is a technique used to decode signals in telecommunications. It takes soft information as input (representing signal strength and probability) and produces soft output (also representing probabilities of different codewords). This is particularly relevant in 5G New Radio (NR) technology for estimating uncertainty values and the influence of noise.
explanation: SISO is classified as a Decoding Technique because its primary function is to process and interpret encoded signals, ultimately aiming to recover the original information. It's a specific method within the broader field of telecommunications signal processing.
section_title: B.2.2.27Influence of noise
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