Question: In 3GPP BS conformance testing (FDD), what is the primary reason for using the unchanged distribution as an approximation in calculating early fail and early pass bounds during a running measurement?
Option 1: The distribution of preliminary BER/BBLER values becomes truncated due to early pass/fail UEs, making analytical handling impractical.
Option 2: The test procedure requires a fixed number of samples for all UEs, regardless of their performance.
Option 3: The unchanged distribution provides a more conservative estimate of errors, ensuring stricter conformance standards.
Option 4: The calculation of early bounds is not dependent on the statistical distribution of UE performance.
Explanation: As UEs that pass or fail early are removed from the statistical pool, the remaining distribution of potential outcomes becomes increasingly truncated. This truncation makes it impossible to accurately analyze the distribution using traditional analytical methods, necessitating the use of the original, unchanged distribution as a practical approximation for calculating early pass and fail bounds.