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Some emerging 5G and beyond use-cases impose stringent latency constraints,which necessitates a paradigm shift towards finite blocklength performanceanalysis. In contrast to Shannon capacity-achieving codes, the codeword lengthin the finite blocklength regime (FBR) is a critical design parameter thatimposes an intricate tradeoff between delay, reliability, and informationcoding rate. In this context, this paper presents a novel mathematical analysisto characterize the performance of large-scale downlink networks using shortcodewords. Theoretical achievable rates, outage probability, and reliabilityexpressions are derived using the finite blocklength coding theory inconjunction with stochastic geometry, and compared to the performance in theasymptotic regime (AR). Achievable rates under practical modulation schemes aswell as multilevel polar coded modulation (MLPCM) are investigated. Numericalresults provide theoretical performance benchmarks, highlight the potential ofMLPCM in achieving close to optimal performance with short codewords, andconfirm the discrepancy between the performance in the FBR and that predictedby analysis in the AR. Finally, the meta distribution of the coding rate isderived, providing the percentiles of users that achieve a predefined targetrate in a network.

Finite Blocklength Regime Performance of Downlink Large Scale Networks