Tecnologies de la Informació i de Xarxes

Wireless Networks and IoE

Proposta de tesi

Investigadors/es

Grup de recerca

RFID-based ubiquitous sensing

Automated ubiquitous sensing will represent a major change in current societal challenges in terms of efficiency (i.e. automatization), sustainability (better models and decision-making), and social wellbeing (security and improved job market). Automated ubiquitous sensing would, for instance, detect humidity or thin water ponds on a road avoiding possible car accidents in a smart city context, improve recycling processes thanks to automated items classification, or predict dehydration of a person in an ambient assisted living environment.
 
Current solutions for automated sensing, including active and passive sensors, use specific circuitry for sensing besides wireless communications technologies to transmit the measurements. This approach implies battery management complexity and/or expensive customized technology, being inappropriate for actual ubiquitous sensing.
 
This proposal aims to exploit passive low-cost communication technologies like Ultra High Frequency (UHF) Radio Frequency Identification (RFID) to act as ubiquitous sensors, by means of analyzing context effects on the RFID labels performance (i.e. see [1,2,3,4]). The goal is to perform the first steps towards a complete environment digitization thanks to actual ubiquitous sensing.
 
[1] Floerkemeier, Bhattacharyya and Sarma (2010): https://doi.org/10.1007/978-1-4419-1674-7_21
 
[2] Melià-Seguí and Pous (2014): http://dx.doi.org/10.1109/IOT.2014.7030112
 
[3] Melià-Seguí and Vilajosana (2019): https://doi.org/10.1109/RFID.2019.8719092
 
[4] Lejarreta, Melià-Seguí and Vilajosana (2021): https://doi.org/10.1109/JSEN.2021.3092262
 

Dr Joan Melià

Mail: melia@uoc.edu

Dr Xavi Vilajosana

Mail: xvilajosana@uoc.edu

WINE

Context-aware applications for ambient intelligence

Smart cities are a new scenario where a variety of data sources open the door to innovative applications, with the final goal of improving the quality of life of citizens, industry competitiveness and government. The Internet of everything is responsible for collecting and transmitting this data at different levels, by using a wide variety of sensors (including peoples' smartphones). We propose to make use of contextual intelligence tools and techniques (like data mining or statistical learning) to process signals (accelerometers, acoustic, etc.) with the overall goal of transforming the above collected data into useful information, enabling new applications or improving existing ones within the ambient intelligence context.

Dr Joan Melià

Mail: melia@uoc.edu

Dr Carlos Monzo

Mail: cmonzo@uoc.edu

WINE

Ultra-reliable low latency industrial communication technologies

The digitalization of the industry is a step further to achieve a digital society. Such digitalization will enable more efficient industries with major impact in the quality of work and the generated industrial value and competitiveness. To achieve such digitalization, massive connectivity will be progressively introduced to industrial processes, mainly by extending existing machinery interfaces and integrating to existing industrial infrastructures and information systems on a first stage. This integration of Information Technologies (IT) and Operational Technologies (OT) by itself imposes challenges beyond what is envisioned by the 5G architectures since, industrial processes are not only critical in terms of reliability, latency and security but also in their architecture, heterogeneity and ownership model which will require more flexible network architectures to complement those envisioned by 5G.

In this research proposal we aim to address industrial requirements to support digitalization. The research work will be centered in the study and development of mechanisms to enable ultra-reliable and low latency industrial wireless communications. The envisioned communication technology should support robotics eliminating the need of wires, while ensuring high reliability (99.999%), low latency (<1ms) and secure links. The research work will explore the features provided by novel physical layer technologies, based on mmWave (>30Ghz) bands and exploit redundancy mechanisms to achieve the desired performance.

References:

[1]  Yong Niu, Yong Li, Depeng Jin, Li Su, Athanasios V. Vasilakos: A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges. Wireless Networks 21(8): 2657-2676 (2015)

[2] Loch, A., Cano, C., Hong, G., Asadi, A., & Vilajosana, X. (2019). A Channel Measurement Campaign for mmWave Communication in Industrial Settings. arXiv preprint arXiv:1903.10502.

Dr Xavi Vilajosana

Mail: xvilajosana@uoc.edu

Dr Ferran Adelantado

Mail: ferranadelantado@uoc.edu

WINE

Sustainable computing

This research proposals aims at taming the energy consumption of computing services in the future Internet. This is a pressing need for a greener society, considering that the worldwide energy consumption of computing facilities is expected to rise to 1/4 th of the world´s electrical energy by 2030. Emerging applications, such as extended reality, smart health, smart factories and autonomous driving, to name a few, require massive amounts of computation resources to process huge volumes of data that will be generated by Internet of things (IoT) devices.  Multi-access edge computing (MEC) technology provides such computation services right at the network edge and enables important opportunities to impose stricter and greener computing policies. This proposal will target the edge computing space with the goal of cutting down their carbon footprint, adopting novel green design principles and techniques, and taking advantage of energy harvesting technologies to be installed at the network edge. 
The thesis will explore different paradigms for renewable energy origin certification and thus contribute to a trustful green computing. Ideas based on blockchain concepts such as distributed oracles will be explored. 
 
Requirements:
Candidates must have a strong programming background, fluency in English (spoken and written) and excellent analytical and writing skills. Experience in blockchain and smart contract design will be highly appreciated.
 
In addition to the requirements stated in the call, all candidates applying for this thesis proposal must send a short report describing: i) Computing and blockchain background of the candidate; ii) Programming skills and already developed projects; iii) The research interests of the candidate (within the framework of the proposed thesis). This report must be sent directly to xvilajosana@uoc.edu. Only candidates fulfilling all requirements (general requirements of the call and specific requirements of this thesis proposal) will be considered.  
 
References
 
[1] Patent: US2016247085 (A1) Managing computational workloads of computing apparatuses powered by renewable resources.  MICROSOFT TECHNOLOGY LICENSING LLC 02/05/2016
 
[2] K. Zhang, S. Leng, Y. He, S. Maharjan and Y. Zhang, "Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things," in IEEE Communications Magazine, vol. 56, no. 5, pp. 39-45, May 2018.
 
[3] Chainlink distributed oracle framework.  https://chain.link/
 
[4] Renewable energy certificates. https://www.irecstandard.org/what-are-recs/#/
 

Dr Xavier Vilajosana

Mail: xvilajosana@uoc.edu

WiNE
Terrestrial and satellite networks coexistence and complementarities
 
In this research line we will be analysing the evolution of the communication ecosystem for IoT Satellite networks, following emerging standards such as the LR-FHSS promoted by the LoRaWAN Alliance or the new initiatives driven by the 3GPP consortium under the Non-Terrestrial-Networks (NTN). The goal of the thesis is to develop mechanisms to take advantage of coexisting terrestrial and satellite infrastructures, while mitigating the impact of satellite downlinks and terrestrial uplinks to the nearing base stations. At the ground segment, policies to reduce the potential impact of a numerous set of packet replicas received by the different stations into the backbone infrastructure will be studied. 
 
Requirements:
 
Candidates must have a strong programming background, fluency in English (spoken and written) and excellent analytical and writing skills. Experience in LPWAN networks and embedded devices a will be highly appreciated.
 
In addition to the requirements stated in the call, all candidates applying for this thesis proposal must send a short report describing: i) Wireless networks background of the candidate; ii) Programming skills and already developed projects; iii) The research interests of the candidate (within the framework of the proposed thesis). This report must be sent directly to xvilajosana@uoc.edu. Only candidates fulfilling all requirements (general requirements of the call and specific requirements of this thesis proposal) will be considered.  
 
Related references:
 
[1] G. Boquet, P. Tuset-Peiró, F. Adelantado, T. Watteyne and X. Vilajosana, "LR-FHSS: Overview and Performance Analysis," in IEEE Communications Magazine, vol. 59, no. 3, pp. 30-36, March 2021, doi: 10.1109/MCOM.001.2000627.
 
[2] F. Rinaldi et al., "Non-Terrestrial Networks in 5G & Beyond: A Survey," in IEEE Access, vol. 8, pp. 165178-165200, 2020, doi: 10.1109/ACCESS.2020.3022981
 

Dr Xavier Vilajosana

Mail: xvilajosana@uoc.edu

WiNE