π€ AI Summary
This work addresses the analytical challenge of characterizing the outage probability of Orthogonal Time Frequency Space (OTFS) modulation under finite blocklength constraints. We establish the first analytical framework by modeling OTFS transmission over multipath channels as an equivalent set of parallel additive white Gaussian noise (AWGN) channels and introducing an effective noise model tailored to time-frequency two-dimensional sparse channels. Tight lower bounds on the outage probability are derived for both equal power allocation and water-filling power allocation strategies. The analysis explicitly reveals how the number of resolvable propagation paths and the coding rate govern outage performance. Monte Carlo simulations confirm the accuracy and tightness of the derived bounds. This study fills a critical gap in the finite-blocklength theoretical analysis of OTFS outage behavior and provides computationally tractable, physically interpretable design guidelines for OTFS systems operating in short-packet communication scenarios.
π 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.