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A 28-GHz multibeam joint communication and sensing system called SideSense is presented, in which a line-of-sight (LoS) beam is used to maintain reliable communication, while other sensing beams are used to enhance physiological motion detection. SideSense decodes the motion frequency and shape from the channel state information (CSI) by first tuning the gain ratio and phase differences between the LoS communication beam and non-LoS (NLoS) beam to maximize the sensing signal-to-noise ratio (SSNR) without significantly degrading the communication channel capacity (CCC). Analytical results based on a bistatic model are presented to show a gain ratio of around 1 and a phase difference of 90° or 270°, which are ideal for optimizing both SSNR and CCC. Experiments based on an array of phased array (APA) beamformers and orthogonal frequency-division multiplexing (OFDM) waveforms with phantom and human subjects are presented to validate the performance of SideSense. Results show that SideSense can improve SSNR by 84% while reducing CCC by 35%, an acceptable decrease within the normal operational parameters of a millimeter-wave (mmWave) communication system, which would not trigger a link reestablishment procedure, e.g., communication beam realignment.
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Frequency Analysis of a Redox-Based Molecular-Electrical Communication Channel
The realization of interfaces between the biological world and elec- tronics has the potential to propel the field of Molecular Commu- nication (MC) to novel frontiers. Plugging MC-enabled devices to our electrical cyber-world will enable revolutionary applications, especially in the biomedical field. By stemming from a seminal proof-of-concept prototype that enables communication between a biological system and an electrical circuit, based on redox biochem- ical reactions, this paper introduces the first frequency analysis of such system and its characterization in terms of communication performance (capacity). To achieve these results, made possible by a linearity property in the analytical model of the system, an em- pirical methodology is followed to obtain the frequency response and the noise power spectral density of the system from the results of a simulation framework. The latter was developed in prior work and made accessible publicly through a web app. A water filling capacity estimation algorithm is applied to the obtained results to give a preliminary idea on the communication performance of such system, which results in a transmission rate equivalent to 0.0587 bits/hour. While orders of magnitude slower than common electrical or optical communications, these results are in line with the inherent timescales of the biological systems envisioned to be interfaced with this technology.
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- Award ID(s):
- 1816969
- PAR ID:
- 10488360
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- NANOCOM '23: Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication
- ISBN:
- 9798400700347
- Page Range / eLocation ID:
- 21 to 26
- Subject(s) / Keyword(s):
- Mathematics of computing → Information theory • Com- puting methodologies → Modeling and simulation.
- Format(s):
- Medium: X
- Location:
- Coventry United Kingdom
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3576781.3608724
