Systems and Means of Informatics
2024, Volume 34, Issue 1, pp 23-32
RADIO RESOURCE ALLOCATION FOR ELASTIC TRAFFIC TRANSMISSION WITH LATENCY FAIRNESS IN WIRELESS NETWORKS
- I. A. Kochetkova
- A. S. Vlaskina
- P. L. E. Eseng Mangue
- V. S. Shorgin
Abstract
Elastic resource management is anticipated to be prevalent in the forthcoming 6G, or 2030, networks. This approach entails not only adaptive allocation of resources but also the consideration of evolving service requirements, user behavior, and the dynamic state of the radio channel. One of the methods for distributing resources among network slices may not be equitable in terms of the required data transfer rates but aims for fairness concerning the data transmission delays. The paper formalizes the issue of resource allocation based on data transmission latency as a queuing system with a discriminatory processor-sharing discipline for classes of elastic traffic. The authors propose determining the discipline parameters - the weights for each class - according to the residual data transmission time. The fairness of resource allocation is evaluated using the Jain's fairness index which is based on average transmission times.
[+] References (14)
- ITU TS. Network 2030 architecture framework, 2020.
- 3GPP TS 23.501.2023. System architecture for the 5G system (5GS). Release 18.4.0.
- Kochetkova, I. A., A. S. Vlaskina, N.N. Vu, and S.Ya. Shorgin. 2021. Queuing system with signals for dynamic resource allocation for analyzing network slicing in 5G networks. Informatika i ee Primeneniya - Inform. Appl. 15(3):91-97. doi: 10.14357/19922264220312.
- Vlaskina, A.S., S.A. Burtseva, I. A. Kochetkova, and S.Ya. Shorgin. 2022. Controllable queuing system with elastic traffic and signals for analyzing network slicing. Informatika i ee Primeneniya - Inform. Appl. 16(3):90-96. doi: 10.14357/ 19922264220312.
- Moltchanov, D. A., V. O. Begishev, K. E. Samouylov, and Y. A. Koucheryavy. 2022. Seti 5G/6G: arkhitektura, tekhnologii, metody analiza i rascheta [5G/6G networks: Architecture, technologies, analysis methods, and calculations]. Moscow: RUDN Uni-versity. 516 p.
- Lopez-Sanchez, M., A. Villena-Rodriguez, G. Gomez, F.J. Martin-Vega, and M. C. Aguayo-Torres. 2023. Latency fairness optimization on wireless networks through deep reinforcement learning. IEEE T. Veh. Technol. 72(4):5407{5412. doi: 10.1109/TVT.2022.3224368.
- Kwon, J., J. Ryu, JH. Lee, and J. Joung. 2023. Improving end-to-end latency fairness using a reinforcement-learning-based network scheduler. Appl. Sci. | Basel 13(6):3397. doi: 10.3390/app13063397.
- 3GPP TR 38.901.2023. Study on channel model for frequencies from 0.5 to 100 GHz. Release 17.1.0.
- Kochetkova I. A., A. I. Kushchazli, P. A. Kharin, and S.Ya. Shorgin. 2021. Model' skhemy prioritetnogo dostupa trafika URLLC i eMBB v seti pyatogo pokoleniya v vide resursnoy sistemy massovogo obsluzhivaniya [Model for analyzing priority admission control of URLLC and eMBB communications in 5G networks as a resource queuing system]. Informatika i ee Primeneniya - Inform. Appl. 15(4):87{92. doi: 10.14357/19922264210412.
- Yashkov, S. F. 1992. Mathematical problems in the theory of shared-processor systems. J. Soviet Mathematics 58(2):10U147. doi: 10.1007/BF01097426.
- Samouylov, K. E. and I. A. Gudkova. 2010. Recursive computation for a multi-rate model with elastic traffic and minimum rate guarantees. Congress (International) on Ultra Modern Telecommunications and Control Systems and Workshops Proceedings. Piscataway, NJ: IEEE. 1065G072. doi: 10.1109/ICUMT.2010.5676509.
- Shorgin, S.Y., K. E. Samouylov, I. A. Gudkova, E.V. Markova, and E. S. Sopin. 2015. Approximating performance measures of radio admission control model for non real-time services with maximum bit rates in LTE. AIP Conf. Proc. 1648:250004. doi: 10.1063/1.4912508.
- Kochetkova, I., K. Leonteva, I. Ghebrial, A. Vlaskina, S. Burtseva, A. Kushchazli, and K. Samouylov. 2024. Controllable queuing system with elastic traffic and signals for resource capacity planning in 5G network slicing. Future Internet 16(1): 18. 23 p. doi: 10.3390/fi16010018.
- Jain R., D. M. Chiu, W. R. Hawe. 1984. A quantitative measure of fairness and discrimination for resource allocation in shared computer systems. Hudson, MA: Eastern Research Laboratory, Digital Equipment Corp. DEC Research Report TR-301.37 p.
[+] About this article
Title
RADIO RESOURCE ALLOCATION FOR ELASTIC TRAFFIC TRANSMISSION WITH LATENCY FAIRNESS IN WIRELESS NETWORKS
Journal
Systems and Means of Informatics
Volume 34, Issue 1, pp 23-32
Cover Date
2024-04-10
DOI
10.14357/08696527240102
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
wireless network; network 2030; 6G; resource allocation; latency fairness; elastic traffic; queuing system; processor sharing
Authors
I. A. Kochetkova , , A. S. Vlaskina , P. L. E. Eseng Mangue , and V. S. Shorgin
Author Affiliations
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
|