Wearable Communications in 5G: Challenges and Enabling Technologies
Open accessAbstract
As wearable devices become more ingrained in our daily lives, traditional communication networks primarily designed for human-being-oriented applications are facing tremendous challenges. The forthcoming fifth-generation (5G) wireless systems look to support unprecedented high capacity, low latency, and massive connectivity. In this article, we examine key challenges facing wearable communication devices. A cloud/edge communication architecture that integrates the cloud radio access network (CRAN), software-defined network (SDN), device-to-device (D2D) communications, and cloud/edge technologies is presented. Computation offloading enabled by this multilayer communications architecture can offload computation-excessive and latency-stringent applications to nearby devices through D2D communications or to nearby edge nodes through cellular or other wireless technologies. Critical issues faced by wearable communications, e.g., short battery life, limited computing capability, and stringent latency, can be greatly alleviated by this cloud/edge architecture. Together with the presented architecture, current transmission and networking technologies [including nonorthogonal multiple access (NOMA), mobile edge computing (MCE), and energy harvesting] can greatly enhance the performance of wearable communications in terms of spectral efficiency, energy efficiency, latency, and connectivity.
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Fifth generation (5G) communication technology improves broadband networks to support always-available transmission services, low end-to-end latency, and a significant data rate boost over 4G.
“Fifth generation (5G) communication technology improves broadband networks to support demanding requirements, such as always-available transmission services, low end-to-end latency, and a significant data rate boost over fourth generation (4G) communication technologies [13].”
From Review of Wearable Devices and Data Collection Considerations for Connected Health (2021) · cites this paper as [13]
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Review of Wearable Devices and Data Collection Considerations for Connected Health
Vijayan, V., Connolly, J. P., Condell, J., McKelvey, N., & Gardiner, P. (2021) · Sensors · doi:10.3390/s21165589 · Cited by 435 · see citing works
- Authors
- Sun, H., Zhang, Z., Hu, R. Q., & Qian, Y.
- Affiliations
- Utah State University (US)
- University of Nebraska–Lincoln (US)
- Venue
- IEEE Vehicular Technology Magazine
- Published
- 2018-09
- Volume
- 13
- Issue
- 3
- Pages
- 100-109
- ISSN
- 1556-6072 (ISSN-L)
- 1556-6080
- OpenAlex
- W2816505892
- Cited by
- 93
- References
- 15
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 12 · 2023: 10 · 2022: 13 · 2021: 17 · 2020: 15 · 2019: 14 · 2018: 2
- FWCI
- 7.43
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Vehicular Technology Magazine (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-sa)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Keywords
- wearable communication, 5G wireless systems, cloud radio access network, software-defined networking, device-to-device communication, edge computing, computation offloading, non-orthogonal multiple access, energy harvesting, battery life, latency, massive connectivity, spectral efficiency, energy efficiency
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