Average Finite-Blocklength Packet Error Rate over Nakagami-$m$ Fading via a Logistic--Lerch Approximation

📅 2026-08-21
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🤖 AI Summary
该研究通过使用Logistic-Lerch近似方法解决了在Nakagami-m衰落信道下计算有限码长传输平均包错误率的问题。
📝 Abstract
Evaluating the average packet error rate (PER) of finite-blocklength (FBL) coded transmission over fading requires integrating the block-error waterfall, given by the normal approximation, against the fading distribution, which is intractable for general Nakagami-$m$ channels. This letter approximates the conditional waterfall by a slope-matched logistic function and shows that its Nakagami-$m$ average reduces to a single Lerch-transcendent term that interpolates between the FBL waterfall and the classical outage limit, with norming constants explicit in rate and blocklength. The closed form supports non-integer fading and, composed into an effective-capacity objective, yields a quality-of-service (QoS) aware rate-selection rule. It matches the normal-approximation integral to about 1\% uniformly in $m$ over the nominal FBL operating region, while outage and linearization baselines exceed several percent at high diversity.
Problem

Research questions and friction points this paper is trying to address.

Average Packet Error Rate
Finite-Blocklength
Nakagami-m Fading
Innovation

Methods, ideas, or system contributions that make the work stand out.

Logistic Function
Lerch Transcendent
Finite-Blocklength
Nakagami-m Fading
QoS-aware Rate Selection