@inproceedings{a21f9b01fe064f469bda52a8dfca271e,
title = "Graph learning and augmentation based interpolation of signal strength for location-aware communications",
abstract = "A graph learning and augmentation (GLA) technique is proposed herein to solve the received signal power interpolation problem, which is important for preemptive resource allocation in location-aware communications. A graph parameterization results in the proposed GLA interpolator having superior mean-squared error performance and lower computational complexity than the traditional Gaussian process method. Simulation results and analytical complexity analysis are used to prove the efficacy of the GLA interpolator.",
keywords = "Graph augmentation, Graph learning, Interpolation, Location-aware, Resource allocation",
author = "Chiu, {Hong Ming} and Fung, {Carrson C.} and Antonio Ortega",
note = "Funding Information: This work has been partially supported by the Ministry of Science and Technology Grant 108-2221-E-009-126 and Ministry of Education project Trusted Intelligent Edge/Fog Computing Technology RSC 108B568.; 28th European Signal Processing Conference, EUSIPCO 2020 ; Conference date: 24-08-2020 Through 28-08-2020",
year = "2021",
month = jan,
day = "24",
doi = "10.23919/Eusipco47968.2020.9287685",
language = "American English",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
pages = "2150--2154",
booktitle = "28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings",
}