Efficient evaluation of the error probability for pilot-assisted finite-blocklength transmission
Paper in proceeding, 2022

We propose a numerically efficient method for evaluating the random-coding union bound with parameter s on the error probability achievable in the finite-blocklength regime by a pilot-assisted transmission scheme employing Gaussian code-books and operating over a memoryless block-fading channel. Our method relies on the saddlepoint approximation, which, differently from previous results reported for similar scenarios, is performed with respect to the number of fading blocks (a.k.a. diversity branches) spanned by each codeword, instead of the number of channel uses per block. This different approach avoids a costly numerical averaging of the error probability over the realizations of the fading process and of its pilot-based estimate at the receiver and yields a significant reduction of the number of channel realizations required to estimate the error probability via Monte-Carlo simulation. For example, in a single-input single-output scenario, when four or more diversity branches are available, an error probability of 10-4can be estimated accurately using our method by using less than 3000 samples. In contrast, the conventional saddlepoint approach requires around 106samples.

Author

Ahmet Oguz Kislal

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Alejandro Lancho Serrano

Massachusetts Institute of Technology (MIT)

Giuseppe Durisi

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Erik Ström

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

Vol. 2022-October 1038-1044
9781665459068 (ISBN)

56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
Virtual, Online, USA,

Subject Categories

Telecommunications

Probability Theory and Statistics

Signal Processing

DOI

10.1109/IEEECONF56349.2022.10052080

More information

Latest update

10/26/2023