name: EPA
full_form: Expectation Propagation Algorithm
context: with code rate up to 0.4, at target BLER = 0.1. - the LLS results with the Chip EPA hybrid PIC or MMSE-hybrid IC receiver or ESE-SISO receiver show better performance than the results with the MMSE-hard IC receiver. 7) Case 4 with 6 UEs of ideal channel estimation: Figure 8.2-7: BLER vs. SNR results for Case 4 with 6 UEs Table 8.2-8: Assumptions of code rate and receiver for each simulated scheme for Case 4 with 6 UEs Observation: for Case 4 with 6 UEs and ideal channel estimation, - the LLS results for simulated schemes with the Chip EPA hybrid PIC or MMSE-hybrid IC receiver show a similar performance for most of curves provided with code rate up to 0.6, at target BLER = 0.1. - the LLS results for simulated schemes with the MMSE-hard IC receiver or ESE-SISO receiver show a similar performance for most of curves provided with code rate up to 0.6, at target BLER = 0.1. - the LLS results with the Chip EPA hybrid PIC or MMSE-hybrid IC receiver show better performance than the results
description: The Expectation Propagation Algorithm (EPA) is a mathematical technique used to improve the accuracy of channel estimation and interference cancellation in signal processing and telecommunications. It's employed in hybrid PIC or MMSE-hybrid IC receivers to enhance performance metrics like BLER (Block Error Rate) versus SNR (Signal-to-Noise Ratio).
explanation: EPA is classified as an Algorithm because it defines a specific set of mathematical operations used to achieve a particular goal (improving receiver performance) within the telecommunications domain.
section_title: 8.2.1Case-by-case evaluations on BLER vs. SNR
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