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- Publisher Website: 10.1109/MWC.001.2000403
- Scopus: eid_2-s2.0-85111094655
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Article: Integrated 3C in NOMA-Enabled Remote-E-Health Systems
Title | Integrated 3C in NOMA-Enabled Remote-E-Health Systems |
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Authors | |
Issue Date | 2021 |
Citation | IEEE Wireless Communications, 2021, v. 28, n. 3, p. 62-68 How to Cite? |
Abstract | A novel framework is proposed to integrate communication, control, and computing (3C) into fifth generation and beyond (5GB) wireless networks for satisfying the ultra-reliable low-latency connectivity requirements of remote e-health systems. Non-orthogonal multiple access (NOMA)-enabled 5GB network architecture is envisioned, while the benefits of bringing it to remote e-health systems are demonstrated. First, the application of NOMA into e-health systems is presented. To elaborate further, a unified NOMA framework for e-health is proposed. As a further advance, NOMA-enabled autonomous robotics (NOMA-ARs) systems and NOMA-enabled edge intelligence (NOMA-EI) toward remote e-health are discussed. Furthermore, a pair of case studies are provided to show the great performance enhancement with the use of NOMA in typical application scenarios of 5GB in remote e-health systems. Finally, potential research challenges and opportunities are discussed. |
Persistent Identifier | http://hdl.handle.net/10722/349582 |
ISSN | 2023 Impact Factor: 10.9 2023 SCImago Journal Rankings: 5.926 |
DC Field | Value | Language |
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dc.contributor.author | Liu, Xiao | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Yang, Zhong | - |
dc.contributor.author | Yue, Xinwei | - |
dc.contributor.author | Wang, Chuan | - |
dc.contributor.author | Chen, Yue | - |
dc.date.accessioned | 2024-10-17T06:59:30Z | - |
dc.date.available | 2024-10-17T06:59:30Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE Wireless Communications, 2021, v. 28, n. 3, p. 62-68 | - |
dc.identifier.issn | 1536-1284 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349582 | - |
dc.description.abstract | A novel framework is proposed to integrate communication, control, and computing (3C) into fifth generation and beyond (5GB) wireless networks for satisfying the ultra-reliable low-latency connectivity requirements of remote e-health systems. Non-orthogonal multiple access (NOMA)-enabled 5GB network architecture is envisioned, while the benefits of bringing it to remote e-health systems are demonstrated. First, the application of NOMA into e-health systems is presented. To elaborate further, a unified NOMA framework for e-health is proposed. As a further advance, NOMA-enabled autonomous robotics (NOMA-ARs) systems and NOMA-enabled edge intelligence (NOMA-EI) toward remote e-health are discussed. Furthermore, a pair of case studies are provided to show the great performance enhancement with the use of NOMA in typical application scenarios of 5GB in remote e-health systems. Finally, potential research challenges and opportunities are discussed. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Wireless Communications | - |
dc.title | Integrated 3C in NOMA-Enabled Remote-E-Health Systems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/MWC.001.2000403 | - |
dc.identifier.scopus | eid_2-s2.0-85111094655 | - |
dc.identifier.volume | 28 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 62 | - |
dc.identifier.epage | 68 | - |
dc.identifier.eissn | 1558-0687 | - |