TY - GEN
T1 - Flexible Resource Allocation for Differentiated QoS Provisioning in Beam-Hopping Satellite Communications System
AU - Wu, Zhenguo
AU - Ren, Pinyi
AU - Xu, Dongyang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Beam hopping technology can flexibly allocate system resources to achieve on-demand coverage in satellite communication system. However, most of the current research mainly focused on the improvement of system capacity while ignoring the optimization of user delay and quality of service (QoS). In this paper, we propose a maximal user service weight gain (maxUSWG) resource allocation algorithm in beam hopping satellite communication system. Specifically, the user service weight gain is determined by the current traffic demand and delay sensitivity of the cell. We propose to use the combination weights method for multiple attribute decision making based on maximizing deviations to calculate the weight of traffic demand and delay sensitivity. After the weighted decision attributes are obtained, the user service weight gain can be combined and evaluated. In order to maximize the user service weight gain, we allocate resources to the cell with larger weight gain until the power is exhausted or the number of working beams reaches a certain threshold. The simulation results show that the algorithm maxUSWG can effectively improve the QoS, increase the system throughput and improve the resource utilization.
AB - Beam hopping technology can flexibly allocate system resources to achieve on-demand coverage in satellite communication system. However, most of the current research mainly focused on the improvement of system capacity while ignoring the optimization of user delay and quality of service (QoS). In this paper, we propose a maximal user service weight gain (maxUSWG) resource allocation algorithm in beam hopping satellite communication system. Specifically, the user service weight gain is determined by the current traffic demand and delay sensitivity of the cell. We propose to use the combination weights method for multiple attribute decision making based on maximizing deviations to calculate the weight of traffic demand and delay sensitivity. After the weighted decision attributes are obtained, the user service weight gain can be combined and evaluated. In order to maximize the user service weight gain, we allocate resources to the cell with larger weight gain until the power is exhausted or the number of working beams reaches a certain threshold. The simulation results show that the algorithm maxUSWG can effectively improve the QoS, increase the system throughput and improve the resource utilization.
KW - beam hopping
KW - decision
KW - resource allocation
KW - satellite communication system
UR - https://www.scopus.com/pages/publications/85137795705
U2 - 10.1109/VTC2022-Spring54318.2022.9860761
DO - 10.1109/VTC2022-Spring54318.2022.9860761
M3 - 会议稿件
AN - SCOPUS:85137795705
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Y2 - 19 June 2022 through 22 June 2022
ER -