Grant-Free Random Access With Backscattering Self-Conjugating Metasurfaces

Recently, grant-free random access (GFRA) schemes have received significant attention by the research community as a solution for extremely low-latency and short packet transmissions in new industrial Internet-of-Things and digital twins applications. However, implementing such schemes in the mmWave and THz frequency bands is challenging due to the need for multiple-input multiple-output (MIMO) links to counteract the high path loss and provide sufficient spatial filtering. This results in unacceptable signaling overhead for channel estimation, slow beam alignment procedures between the access point (AP) and the sensors, as well as high sensor complexity and energy consumption. In this paper, we propose the adoption of a self-conjugating metasurface (SCM) at the sensor side, where the signal sent by the AP is backscattered after being conjugated and phase-modulated according to the data to be transmitted by the sensor. We introduce a novel SCM-based GFRA protocol enabling the detection of new sensors and the establishment of parallel MIMO uplink communications with extremely low latency. This is achieved in a blind manner, eliminating the need for radiofrequency chains and digital processing at the sensor side, as well as explicit channel estimation and time-consuming beam alignment schemes.

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Publication Details

Journal
IEEE Transactions on Cognitive Communications and Networking
Published
2024-09-09
DOI
https://doi.org/10.1109/tccn.2024.3449648
Citations
5
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.59
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article

Grant-Free Random Access With Backscattering Self-Conjugating Metasurfaces

Nicolò Decarli, Marina Lotti, Davide Dardari, Gianni Pasolini
5 citations
IEEE Transactions on Cognitive Communications and Networking
Metamaterials and Metasurfaces Applications
0.59
article

Grant-Free Random Access With Backscattering Self-Conjugating Metasurfaces

Nicolò Decarli, Marina Lotti, Davide Dardari, Gianni Pasolini
article en
5 citations

Abstract

Recently, grant-free random access (GFRA) schemes have received significant attention by the research community as a solution for extremely low-latency and short packet transmissions in new industrial Internet-of-Things and digital twins applications. However, implementing such schemes in the mmWave and THz frequency bands is challenging due to the need for multiple-input multiple-output (MIMO) links to counteract the high path loss and provide sufficient spatial filtering. This results in unacceptable signaling overhead for channel estimation, slow beam alignment procedures between the access point (AP) and the sensors, as well as high sensor complexity and energy consumption. In this paper, we propose the adoption of a self-conjugating metasurface (SCM) at the sensor side, where the signal sent by the AP is backscattered after being conjugated and phase-modulated according to the data to be transmitted by the sensor. We introduce a novel SCM-based GFRA protocol enabling the detection of new sensors and the establishment of parallel MIMO uplink communications with extremely low latency. This is achieved in a blind manner, eliminating the need for radiofrequency chains and digital processing at the sensor side, as well as explicit channel estimation and time-consuming beam alignment schemes.

IEEE Transactions on Cognitive Communications and NetworkingVol. 10(5)
Istituto Nazionale di Fisica Nucleare, Centro Nazionale Analisi Fotogrammi (IT), Laboratori Guglielmo Marconi (Italy) (IT), Institute of Electronics, Computer and Telecommunication Engineering (IT), National Research Council (IT), University of Bologna (IT)
Reduced inequalities
Openalex Percentile: Top 40%
Metamaterials and Metasurfaces Applications
0.59
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Grant-Free Random Access With Backscattering Self-Conjugating Metasurfaces — Nicolò Decarli, Marina Lotti, et al. · IEEE Transactions on Cognitive Communications and Networking (2024) | TGRS Research Map | TGRS