Rastogi, E, Maheshwari, MK and Rastogi, A (2024) Performance analysis of user power consumption in NR-unlicensed DRX. The Journal of Supercomputing, 81 (1). ISSN 0920-8542
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Abstract
The Third Generation Partnership Project (3GPP) in Release 16 introduced New Radio in unlicensed spectrum (NR-U) to further enhance the capacity of licensed spectrum. The user equipment’s (UE) power consumption is an important metric identified by researchers in long-term evolution (LTE) and NR, and now in NR-U. In long-term evolution (LTE) and NR, 3GPP has introduced discontinuous reception (DRX) to save the UE’s power consumption and it can also be used in NR-U. In the DRX procedure, UE sleeps when there is no data packet to serve and wakes up at regular periodic intervals to check if there are any data packets in the downlink. The UE can sleep longer and skip most channel monitoring occasions, which helps to save the power of the UE. In this article, we analyze the power consumption of the UE in the DRX mechanism over NR-U networks. We model the DRX using semi-Markov-based modeling to analyze the power consumption of the UE, and the average delay experienced by the UE in the NR-U DRX mechanism. Analytical analysis indicates that power consumption increases with increasing DRX-ON duration and decreases with increasing sleep duration. The power consumption reduces at the cost of delay, i.e., delay increases with an increase in sleep duration.
Item Type: | Article |
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Additional Information: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://doi.org/doi.org/10.1007/s11227-024-06839-7 |
Uncontrolled Keywords: | 0803 Computer Software; 0805 Distributed Computing; Distributed Computing |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science and Mathematics |
Publisher: | Springer |
SWORD Depositor: | A Symplectic |
Date Deposited: | 06 Jan 2025 11:04 |
Last Modified: | 06 Jan 2025 11:04 |
DOI or ID number: | 10.1007/s11227-024-06839-7 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/25162 |
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