Problem
Research questions and friction points this paper is trying to address.
Confusion
Erasures
Error-Bounded Decoders
QAM
Finite Blocklength
Confusion-Erasure Bounds of Error-Bounded Decoders under QAM
๐ค AI Summary
ๆฌๆ้ๅฏน6G้ไฟกไธญ่ฏฏ็ ๅๆฆ้ค็ไธๅๅฝฑๅ๏ผ้่ฟๅๆQAM่ฐๅถไธ็ๆ้็ ้ฟ่งฃ็ ๅจ๏ผๆๅบไบไธ็ง่ฎก็ฎๅๆททๆท็ไธไธ็็่งฃๆๆนๆณใ
๐ Abstract
6G is expected to push ultra-reliable low-latency communication (URLLC) toward stringent residual-error targets for mission-critical services, where undetected errors and erasures carry fundamentally different costs. Block error rate (BLER) conflates block confusions (undetected errors) and block erasures, which have fundamentally different impacts on system reliability. This paper extends the confusion and erasure analysis of error-bounded decoders to square quadrature amplitude modulation (QAM) constellations in the finite blocklength (FBL) regime. To handle QAM's heterogeneous symbol energies - which make the per-pair Euclidean distance a distribution rather than a single value - we derive analytical lower and upper bounds on the block confusion rate by, respectively, collapsing this distribution to its root-mean-square (RMS) distance and averaging the pairwise confusion over it. These bounds are proven to be monotonically decreasing in both the average symbol energy and the blocklength, with the decrease rate governed by the constellation order. Numerical results confirm that as the signal-to-noise ratio (SNR) or redundancy increases, the confusion rate falls many orders of magnitude below the reliability target, leaving detectable erasures as the dominant residual error.
Innovation
Methods, ideas, or system contributions that make the work stand out.
QAM constellations
block confusion rate
finite blocklength regime
RMS distance
reliability target
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