Outage Probability Analysis for OTFS with Finite Blocklength

  • Xin Zhang
  • , Wensheng Lin
  • , Lixin Li
  • , Zhu Han
  • , Tad Matsumoto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Orthogonal time frequency space (OTFS) modulation is widely acknowledged as a prospective waveform for future wireless communication networks. To provide insights for the practical system design, this paper analyzes the outage probability of OTFS modulation with finite blocklength. To begin with, we present the system model and formulate the analysis of outage probability for OTFS with finite blocklength as an equivalent problem of calculating the outage probability with finite blocklength over parallel additive white Gaussian noise (AWGN) channels. Subsequently, we apply the equivalent noise approach to derive a lower bound on the outage probability of OTFS with finite blocklength under both average power allocation and water-filling power allocation strategies, respectively. Finally, the lower bounds of the outage probability are determined using the Monte-Carlo method for the two power allocation strategies. The impact of the number of resolvable paths and coding rates on the outage probability is analyzed, and the simulation results are compared with the theoretical lower bounds.

Original languageEnglish
Title of host publication2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331531478
DOIs
StatePublished - 2025
Event101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025 - Oslo, Norway
Duration: 17 Jun 202520 Jun 2025

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025
Country/TerritoryNorway
CityOslo
Period17/06/2520/06/25

Keywords

  • finite blocklength
  • lower bound
  • OTFS modulation
  • outage probability

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