Review and Perspectives of Micro/Nano Technologies as Key-Enablers of 6G

Iannacci, Jacopo; Poor, H. Vincent

doi:10.1109/access.2022.3176348

Cited by 18 publications

(16 citation statements)

References 241 publications

(177 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed HW reconceptualization capitalizes both on consolidated and emerging microtechnologies and nanotechnologies, encompassing micro/nano materials, micro/nano systems, and micro/nano electronics, identified as KETs of 6G. Pursuing the twofold target of simplifying and building a comprehensive frame of reference, analogy of HW-SW systems [11] with the four classical elements was previously suggested in [16] and [35]. The resulting item is named WEAF Mnecosystem.…”

Section: W E a F M N E C O S Y S T E Mmentioning

confidence: 99%

“…The schematic in Fig. 4 offers a visual description of the WEAF Mnecosystem as a whole, while Sections IV-A-IV-C summarize its characteristics, starting from the preliminary discussion in [16] and [35].…”

Section: W E a F M N E C O S Y S T E Mmentioning

confidence: 99%

“…The discussion, despite comprehensive, will be synthetic. In fact, a detailed analysis of technical/technology aspects, along with the comparison against different solutions, falls outside the scope of this work and will likely be developed by the author in other works, e.g., [16].…”

Section: R E S E a R C H L I N E S F A L L I N G I N T O T H E W E A ...mentioning

confidence: 99%

“…Stepping now into a more refined description, 6G disruption is effectively framed in [15] and reformulated in [16], reasoning in terms of paradigm shifts (PSs), i.e., verticals embodying sets of KETs, here visually arranged in Fig. 2.…”

mentioning

confidence: 99%

See 3 more Smart Citations

A perspective vision of micro/nano systems and technologies as enablers of 6g, super-iot, and tactile internet [point of view]

Iannacci

2023

Proc. IEEE

View full text Add to dashboard Cite

show abstract

Section: W E a F M N E C O S Y S T E Mmentioning

confidence: 99%

Section: W E a F M N E C O S Y S T E Mmentioning

confidence: 99%

Section: R E S E a R C H L I N E S F A L L I N G I N T O T H E W E A ...mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A perspective vision of micro/nano systems and technologies as enablers of 6g, super-iot, and tactile internet [point of view]

Iannacci

2023

Proc. IEEE

View full text Add to dashboard Cite

show abstract

“…Deep learning and energy harvesting are the two pillars to make IoT devices ready for their future form. In a recently proposed concept "WEAF Mnecosystem" [22], [23], AI and energy are identified as the two critical enablers for the self-evolution of future IoT systems.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning on Energy Harvesting IoT Devices: Survey and Future Challenges

2022

IEEE Access

View full text Add to dashboard Cite

Internet-of-Things (IoT) devices are becoming both intelligent and green. On the one hand, Deep Neural Network (DNN) compression techniques make it possible to run deep learning applications on devices equipped with low-end microcontrollers (MCUs). By performing deep learning on IoT devices, in-situ decision-making can be made, which can improve the responsiveness of such devices to the environment and reduce data uploading to edge servers or clouds to save valuable network bandwidth. On the other hand, many IoT devices in the future will be powered by energy harvesters instead of batteries to reduce environmental pollution and achieve permanent service free of battery maintenance. As the energy output of energy harvesters is tiny and unstable, energy harvesting IoT (EH-IoT) devices will experience frequent power failures during their execution, making the software task hard to progress. The deep learning tasks running on such devices must face this challenge and, at the same time, ensure satisfactory execution efficiency. We believe deploying deep learning on EH-IoT devices that execute intermittently will be a challenging yet promising research direction. To motivate research in this direction, this paper summarizes existing solutions and provides an in-depth discussion of future challenges that deserve further investigation. With IoT devices becoming more intelligent and green, DNN inference on EH-IoT devices will generate a much more significant impact in the future in academia and industry.

show abstract

Surface functionalization of naturally occurring silicate minerals infused hydrocarbon polymer matrix for ultra‐low dielectric performance at high frequency domain

Islam,

Deb,

Hasan

et al. 2024

Polymer Composites

View full text Add to dashboard Cite

The expanding realm of high‐frequency electronics necessitates materials with exceptional attributes: notably, a low dielectric constant (Dk) to minimize signal propagation delays, high thermal conductivity for effective heat dissipation, higher breakdown strength, and robust mechanical properties to withstand demanding operational environments. While cycloolefin copolymers (COC) excel in electrical insulation, chemical resistance, and mechanical durability, their intrinsic slightly higher dielectric constant compared to other polymers, along with challenges such as poor dispersibility and low compatibility with nanoparticles, hinder their full potential in this domain. Considering these drawbacks, this study fabricated a series of COC/mica composites by integrating natural mica particles into the COC matrix via a CTAB‐assisted surface modification of mica to enhance dispersibility and mitigating particle aggregation through in‐situ mixing and hot‐press methods. The resultant composites demonstrate an outstanding ultra‐low Dk of 1.44, marking a significant decrease of over 36% compared to pristine COC with a Dk of 2.26, along with exceptionally low dielectric loss (δ) of 0.00013 at the frequency of 10 GHz, high dielectric breakdown strength ~49.40 kV/mm and enhanced thermal conductivity up to 0.88 W/(m K) at 40% mica loading. Additionally, the composites heightened mechanical performances like tensile strength 69 MPa at 6.5% elongation at break, impact strength up to ~17.9 kJ × m−2, and exceptional water resistance with absorption below 0.097%. These exceptional ultra‐low dielectric performance with above mentioned properties can meet the stringent requirements of modern high‐frequency electronics packaging for next generation electronics development.Highlights Surface modification by CTAB enhanced homogeneous dispersibility of composites. Achieved ultra‐low dielectric constant and loss compared to pure COC. Thermal conductivity improved significantly with incorporation of mica. Unlocking high‐frequency applications potential with ultralow Dk performance.

show abstract

Review and Perspectives of Micro/Nano Technologies as Key-Enablers of 6G

Abstract: This paper is published thanks to the support of the project "Wafer Level Micropackaging di RF MEMS switch per applicazioni spaziali", funded by the Agenzia Spaziale Italiana (ASI) (Grant F36C18000400005).

Cited by 18 publications

References 241 publications

A perspective vision of micro/nano systems and technologies as enablers of 6g, super-iot, and tactile internet [point of view]

A perspective vision of micro/nano systems and technologies as enablers of 6g, super-iot, and tactile internet [point of view]

Deep Learning on Energy Harvesting IoT Devices: Survey and Future Challenges

Surface functionalization of naturally occurring silicate minerals infused hydrocarbon polymer matrix for ultra‐low dielectric performance at high frequency domain

Contact Info

Product

Resources

About