A Discrete Queueing Model for Performance Analysis of Scheduling Schemes in Multi-User MIMO Systems

This paper investigates scheduling schemes for multiple antenna systems which supported both single and multi-user connections. Based on the discrete queueing models we build the mathematical one with batch arrivals and derive the closed-form expressions for performance metrics. With the proposed method, we analyze the effectiveness of three scheduling schemes for user information processing. The results of the numerical analysis allow comparing single-user and group servicing and providing such performance characteristics as average transfer delay and meaning number of users under the assumption of random value downloading file size with various discrete probability distributions. © 2019 IEEE.

Authors
Medvedeva E.G. 1, 2 , Gorbunova A.V. 1 , Gaidmaka Y.V. 1, 2 , Samouylov K.E. 1, 2
Conference proceedings
11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019, Dublin, Ireland, October 28-30, 2019
Publisher
IEEE
Language
English
Status
Published
DOI
10.1109/ICUMT48472.2019.8970876
Number
8970876
Volume
2019-October
Year
2019
Organizations
  • 1 Peoples' Friendship University of Russia (RUDN University), Applied Probability and Informatics Department, Russian Federation, Moscow, 117198, Russian Federation
  • 2 Institute of Informatics Problems, Federal Research Center Computer Science and Control of the RAS, 44-2 Vavilov St, Moscow, 119333, Russian Federation
Keywords
discrete-time queueing model; file transfer delay; multi-user MIMO; multiple antenna system; random file size value; system capacity
Date of creation
02.11.2020
Date of change
09.02.2024
Short link
https://repository.rudn.ru/en/records/article/record/65727/
Share

Other records

APPROACHES FOR MULTI-TIER CLOUD STRUCTURE MANAGEMENT

Article
Muthanna M.M.A., Nikolayevich V., Volkov A., Abdukodir K.
11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019, Dublin, Ireland, October 28-30, 2019. IEEE. Vol. 2019-October. 2019.