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Can I read 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) - WeedGait: Unobtrusive Smartphone Sensing of Marijuana-Induced Gait impairment By Fusing Gait Cycle Segmentation and Neural Networks on EtoBox?
2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) - WeedGait: Unobtrusive Smartphone Sensing of Marijuana-Induced Gait impairment By Fusing Gait Cycle Segmentation and Neural Networks by Li, Ruojun; Agu, Emmanuel; Balakrishnan, Ganesh; Herman, Debra; Abrantes, Ana; Stein, Michael; Metrik, Jane is a nonfiction available to read on EtoBox.
What is 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) - WeedGait: Unobtrusive Smartphone Sensing of Marijuana-Induced Gait impairment By Fusing Gait Cycle Segmentation and Neural Networks about?
In this paper, a novel technology, namely, device-to-device communications in the unlicensed spectrum (D2D-U) is proposed, which can allow D2D users to transmit on the unlicensed spectrum and coexist with the incumbent Wi-Fi networks. In D2D-U networks, D2D users can share the licensed spectrum with the existing cellular users or share the unlicensed spectrum with legacy Wi-Fi networks. Therefore, mutual interference across different networks and different users should be properly coordinated to optimize the system performance. In this paper, within the framework of D2D-U, we propose a joint mode selection and resource allocation algorithm to minimize the overall interference that cellular and Wi-Fi users suffer from the D2D communications while guaranteeing the signal-to-noise-and-interference ratio requirements of all users, including those of cellular, D2D, and Wi-Fi. Through theoretical analysis and numerical simulation, we show that using unlicensed spectrum can significantly mitigate the interference to both cellular and Wi-Fi users. Moreover, the duty cycle-based unlicensed spectrum access method achieves better system throughput than the listen-before-talk-based access meth
Who reads 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) - WeedGait: Unobtrusive Smartphone Sensing of Marijuana-Induced Gait impairment By Fusing Gait Cycle Segmentation and Neural Networks?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Li, Ruojun; Agu, Emmanuel; Balakrishnan, Ganesh; Herman, Debra; Abrantes, Ana; Stein, Michael; Metrik, Jane
- Publisher
- Institute of Electrical and Electronics Engineers; IEEE Advancing Technology for Humanity; Institute of Electrical and Electronics Engineers (IEEE) (ISSN 2168-2216)
- Published
- 2019
- Language
- EN
- Category
- nonfiction
More by Li, Ruojun; Agu, Emmanuel; Balakrishnan, Ganesh; Herman, Debra; Abrantes, Ana; Stein, Michael; Metrik, Jane
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