Systems and Means of Informatics
2023, Volume 33, Issue 4, pp 69-81
ANALYSIS OF JOINT USAGE OF ENERGY CONSERVATION STRATEGIES FOR 5G DEVICES WITH REDUCED CAPABILITY
- V. A. Beschastnyi
- E. S. Golos
- D. Yu. Ostrikova
- E. A. Machnev
- V. S. Shorgin
- Yu. V. Gaidamaka
Abstract
The recently standardized Reduced capability (RedCap) user equipment (UE) type for 5G systems, New Radio (NR), supports new mechanisms to limit power consumption. Using a combination of Discontinuous Reception (DRX), Wake-Up Signal (WUS), and Radio Resource Management (RRM) relaxation techniques, RedCap-enabled UEs can provide high energy efficiency while meeting the speed requirements for a large set of applications. The present authors investigate the impact of the above mechanisms on the energy consumption of UEs in 5GNR networks. To this aim, the authors propose a mathematical model that captures the specifics of these mechanisms and environmental and deployment characteristics. Energy efficiency and battery life time are considered as the main characteristics. The numerical results demonstrate that combining all the considered energy saving mechanisms allows to improve the battery life time by 15%-20%. The WUS mechanism shows better performance as compared to the RRM relaxation. These conclusions hold for a wide range of input system parameters, including packet interarrival time and blockers density.
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[+] About this article
Title
ANALYSIS OF JOINT USAGE OF ENERGY CONSERVATION STRATEGIES FOR 5G DEVICES WITH REDUCED CAPABILITY
Journal
Systems and Means of Informatics
Volume 33, Issue 4, pp 69-81
Cover Date
2023-12-10
DOI
10.14357/08696527230407
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
5G; New Radio; DRX; RedCap; WUS; RRM relaxation
Authors
V. A. Beschastnyi  , E. S. Golos , D. Yu. Ostrikova , E. A. Machnev , V. S. Shorgin  ,
and Yu. V. Gaidamaka ,
Author Affiliations
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho- Maklaya Str., Moscow 117198, Russian Federation
Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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