Interference aware optimal power allocation for industrial IoT: A self-triggered approach
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Date
2022-07-25
Authors
Ijaz, Zohaib
Noor-A-Rahim, Md.
Pesch, Dirk
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Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
One of the key use cases for 5G cellular communication is wirelessly connected smart factory applications as part of the Industry 5.0 vision. Such applications require high throughput, low latency, and highly reliable communication for critical control applications. With limited private spectrum available for Industry 5.0 use cases, scarce wireless network resources (e.g., bandwidth, channel capacity, etc.) need to be used efficiently. In this paper, we optimize wireless channel resources, in particular the secondary control channel, by increasing channel capacity in the presence of interference through power control and self-triggered control (STC) based message transmission. We aim to maximize control channel efficiency and minimize secondary control communication. Our simulation results demonstrate that STC-based communication can achieve the same system performance as periodic communication while preserving about 85% of the control channel bandwidth.
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Keywords
Industry 5.0 , Industrial IoT , Network resource management , Smart manufacturing , Energy efficient system , Self-triggered control
Citation
Ijaz, Z., Noor-A-Rahim, M. and Pesch, D. (2022) 'Interference aware optimal power allocation for industrial IoT: A self-triggered approach' 2022 IEEE 17th International Conference on Control and Automation (ICCA), pp. 856-861. doi: 10.1109/ICCA54724.2022.9831966
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