TY - GEN
T1 - A Two-Level Adaptive Resource Allocation Algorithm for Quality of Service Guarantee in Home WiFi Networks
AU - Zhang, Zhan Yu
AU - Li, Bo
AU - Yan, Zhongjiang
AU - Yang, Mao
N1 - Publisher Copyright:
© 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2023
Y1 - 2023
N2 - Aiming at the problem that the service quality of audio and video, large file transmission and other services is difficult to guarantee in the home Wireless Fidelity (WiFi) network, this paper proposes a two-level adaptive resource allocation algorithm for quality of service guarantee (TRAQ), which can effectively avoid the starvation of large file transmission, to improve the success rate of audio and video service establishment and the fairness of multiple large file transmissions. Firstly, the quality-of-service guarantee problem of audio and video, large file transmission is modeled as the resource allocation problem in the scheduling period, with the goal of minimizing the Gini coefficient of multiple large file transmission rates and the constraint of ensuring the average transmission rate of all large files and the call loss rate of audio and video. Then, the arrival and service process of audio and video services is modeled as a M/M/m/m queuing model, and the first-level resource allocation ratio between the audio and video services and the large files services is obtained. Secondly, the second-level resource allocation ratio minimizing the Gini coefficient of large file transmission services is derived. Finally, the simulation results show that the proposed TRAQ not only balances the service requirements between the two types of services, but also achieves a certain transmission fairness within the large file transmission services.
AB - Aiming at the problem that the service quality of audio and video, large file transmission and other services is difficult to guarantee in the home Wireless Fidelity (WiFi) network, this paper proposes a two-level adaptive resource allocation algorithm for quality of service guarantee (TRAQ), which can effectively avoid the starvation of large file transmission, to improve the success rate of audio and video service establishment and the fairness of multiple large file transmissions. Firstly, the quality-of-service guarantee problem of audio and video, large file transmission is modeled as the resource allocation problem in the scheduling period, with the goal of minimizing the Gini coefficient of multiple large file transmission rates and the constraint of ensuring the average transmission rate of all large files and the call loss rate of audio and video. Then, the arrival and service process of audio and video services is modeled as a M/M/m/m queuing model, and the first-level resource allocation ratio between the audio and video services and the large files services is obtained. Secondly, the second-level resource allocation ratio minimizing the Gini coefficient of large file transmission services is derived. Finally, the simulation results show that the proposed TRAQ not only balances the service requirements between the two types of services, but also achieves a certain transmission fairness within the large file transmission services.
KW - Call Loss Rate
KW - Home WiFi Network
KW - Services Starved
KW - TRAQ
UR - http://www.scopus.com/inward/record.url?scp=85161429253&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-31275-5_19
DO - 10.1007/978-3-031-31275-5_19
M3 - 会议稿件
AN - SCOPUS:85161429253
SN - 9783031312748
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 186
EP - 199
BT - Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings
A2 - Deng, Der-Jiunn
A2 - Chao, Han-Chieh
A2 - Chen, Jyh-Cheng
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Smart Grid and Internet of Things, SGIoT 2022
Y2 - 19 November 2022 through 20 November 2022
ER -