Latency-Aware Power Management in Software-Defined Radios
Joint Authors
Ruttik, Kalle
Tirkkonen, Olav
Malm, Nicolas
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-11
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Information Technology and Computer Science
Abstract EN
Cloud computing provides benefits in terms of equipment consolidation and power savings from higher utilization for virtualizable software.
Cellular communication software faces challenges in cloud computing platforms.
BSs create a specific load profile that differs from traditional cloud service loads.
Cellular communication system implementations have real-time deadlines with fixed, periodic latency requirements.
In this paper, we assess the suitability of an unmodified Ubuntu Linux OS running on a commodity server to operate latency-critical software using a 4G LTE BS software-defined radio implementation.
Scaling of the CPU clock frequency is shown to be feasible without excessive impact on the platform’s ability to meet the 4 ms processing delay requirement imposed by the LTE standard.
Measurements show the relationship between the processor’s operating frequency and the number of missed subframe processing deadlines to be nonlinear.
The results obtained also indicate that a high computational capacity does not suffice to ensure satisfactory operation since fronthaul processing overhead can limit achievable performance.
Use of offload-capable network interface cards is studied as a potential remedy.
American Psychological Association (APA)
Malm, Nicolas& Ruttik, Kalle& Tirkkonen, Olav. 2020. Latency-Aware Power Management in Software-Defined Radios. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1183853
Modern Language Association (MLA)
Malm, Nicolas…[et al.]. Latency-Aware Power Management in Software-Defined Radios. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1183853
American Medical Association (AMA)
Malm, Nicolas& Ruttik, Kalle& Tirkkonen, Olav. Latency-Aware Power Management in Software-Defined Radios. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1183853
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183853