We consider the problem of estimating the frame error rate (FER) of a given memoryless binary symmetric channel by observing the success or failure of transmitted packets. Whereas FER estimation is relatively straightforward if all observations correspond to packets with equal length, the problem becomes considerably more complex when this is not the case. We develop FER estimators when

transmissions of different lengths are observed, together with the Cramer-Rao Lower Bound (CRLB). Although the main focus is on Maximum Likelihood (ML) estimation, we also obtain low complexity schemes performing close to optimal in some scenarios. In a second stage, we consider the case in which FER estimation is performed at a node different from the receiver, and incorporate the impairment of unreliable observations by considering noisy ACK/NAK feedback links. The impact of unreliable feedback is analyzed by means of the corresponding CRLB. In this setting, the ML estimator is obtained by applying the Expectation-Maximization algorithm to jointly estimate the error probabilities of the data and feedback links. Simulation results illustrate the benefits of the proposed estimators.

%B IEEE Transactions on Wireless Communications
%V 16
%P 3661 - 3673
%8 06/2017
%G eng
%N 6
%R 10.1109/TWC.2017.2686845
%0 Conference Paper
%B Asilomar Conf. on Signals, Systems and Computers
%D 2016
%T Frequency selective multiuser hybrid precoding for mmWave systems with imperfect channel knowledge
%A Jose P. Gonzalez-Coma
%A Nuria González-Prelcic
%A Luis Castedo
%A Robert W. Heath Jr.
%K compass
%K mmWave
%B Asilomar Conf. on Signals, Systems and Computers
%8 11/2016
%G eng
%R 10.1109/ACSSC.2016.7869044
%0 Conference Paper
%B ICASSP2014 - Signal Processing for Communications and Networking (ICASSP2014 - SPCOM)
%D 2014
%T FER prediction with variable codeword length
%A Alberto Rico-Alvariño
%A Robert W. Heath Jr.
%A Carlos Mosquera
%K adaptive signal processing
%K compass
%K dynacs
%K Effective SNR
%K FER prediction
%K PHY abstraction
%X Frame error rate (FER) prediction in wireless communication systems is an important tool with applications to system level simulations and link adaptation, among others. Although in realistic communication scenarios it is expected to have codewords of different lengths, previous work on FER prediction marginally treated the dependency of the FER on the codeword length. In this paper, we present a method to estimate the FER using codewords of different length. We derive a low complexity FER estimator for frames of different length transmitted over a binary symmetric channel of unknown error probability. We extend this technique to coded systems by the use of effective SNR FER predictors. The proposed estimation scheme is shown to outperform other simpler estimation methods.

%B ICASSP2014 - Signal Processing for Communications and Networking (ICASSP2014 - SPCOM) %C Florence, Italy %G eng %R 10.1109/ICASSP.2014.6853935