3 research outputs found
A Maximum-Likelihood-based Multi-User LoRa Receiver Implemented in GNU Radio
LoRa is a popular low-power wide-area network (LPWAN) technology that uses
spread-spectrum to achieve long-range connectivity and resilience to noise and
interference. For energy efficiency reasons, LoRa adopts a pure ALOHA access
scheme, which leads to reduced network throughput due to packet collisions at
the gateways. To alleviate this issue, in this paper we analyze and implement a
LoRa receiver that is able to decode LoRa packets from two interfering users.
Our main contribution is a two-user detector derived in a maximum-likelihood
fashion using a detailed interference model. As the complexity of the
maximum-likelihood sequence estimation is prohibitive, a complexity-reduction
technique is introduced to enable a practical implementation of the proposed
two-user detector. This detector has been implemented along with an
interference-robust synchronization algorithm on the GNU Radio
Software-Defined-Radio (SDR) platform. The SDR implementation shows the
effectiveness of the proposed method and also allows its experimental
evaluation. Measurements indicate that our detector inherently leverages the
time offset between the two colliding users to separate and demodulate their
contributions.Comment: 2020 Asilomar Conference on Signals, Systems, and Computers, Pacific
Grove, CA, US
Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico
Conference proceedings info:
ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies
Raleigh, HI, United States, March 24-26, 2023
Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center
of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementaci贸n sistem谩tica de la telemedicina dentro de un gran centro de evaluaci贸n de COVID-19 en el 谩rea de Baja California, M茅xico. Nuestro modelo se basa en factores de dise帽o centrados en el ser humano y colaboraciones interdisciplinarias para la habilitaci贸n escalable basada en datos de tecnolog铆as de teleconsulta de tel茅fonos inteligentes, celulares y video para vincular hospitales, cl铆nicas y servicios m茅dicos de emergencia para evaluaciones de COVID en el punto de atenci贸n. pruebas, y para el tratamiento posterior y decisiones de cuarentena. R谩pidamente se cre贸 un equipo multidisciplinario, en cooperaci贸n con diferentes instituciones, entre ellas: la Universidad Aut贸noma de Baja California, la Secretar铆a de Salud, el Centro de Comando, Comunicaciones y Control Inform谩tico.
de la Secretar铆a del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psic贸logos. Nuestro objetivo es proporcionar informaci贸n al p煤blico y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignaci贸n de recursos con la anticipaci贸n de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-