TITLE:
Link Quality Prediction for 802.11 MANETs in Urban Microcells
AUTHORS:
Gregor Gaertner, Eamonn O. Nuallain
KEYWORDS:
Mobile Communications, Propagation, Quality Assurance
JOURNAL NAME:
Journal of Computer and Communications,
Vol.4 No.13,
October
26,
2016
ABSTRACT: In this paper we derive the optimal link
quality predictor (LQPR) whose parameters are estimated from signal power and
node speed samples. We propose a fast estimator for these parameters whose
computational complexity is three orders lower than that of the optimal estimator
with only a slight loss in accuracy thus enabling real- time execution. We show
that using the most recent local mean of the signal as a predictor of future
signal strength is also a very close approximation to the optimal predictor.
This is the central result of this paper. It obviates the need for complex
and/or computationally intensive link quality predictors for 802.11 in urban
microcells and has the advantage of not requiring node speed information. The
LQPRs are evaluated against the lower error bound. We show that the LQPR based
on the most recent local mean of the signal predicts the packet reception
probability for pedestrians in urban microcells on average with a mean absolute
error of 13.47%, 16.54%, 18.21% and 19.38% for 1 s, 2 s, 3 s and 4 s into the
future respectively. This LQP accuracy resembles closely the lower error bound
with, for example, a difference of only 2.47% at 2 s into the future.