TY - GEN
T1 - Multi-Stage Time-Space-Power Resource Allocation
T2 - 99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024
AU - Zhang, Kehua
AU - Wei, Zhongxiang
AU - Zhu, Xu
AU - Hou, Wenjun
AU - Dong, Zhihao
AU - Jiang, Yufei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In last decades, joint design of user scheduling and precoding has been investigated for single transmission time interval (TTI). However, this family of single-stage design cannot optimize real-time metrics that are measured in temporal dimension. In this paper, we target on optimizing the experience rate, which is defined as the ratio of a user's data packet size to the total time for completely delivering the user's data. A novel multi-stage dynamic resource programming is formulated as a multi-stage mixed integer nonlinear programming (MINLP) problem. Then, a low-complexity iterative algorithm is proposed for a jointly optimizing user scheduling and precoding. In particular, a second cone programming problem is dedicatedly designed, for providing a high-quality initial point for the iterative algorithm. The simulation results demonstrate that the proposed design endorses enhanced experience rate performance, with fast convergence behavior.
AB - In last decades, joint design of user scheduling and precoding has been investigated for single transmission time interval (TTI). However, this family of single-stage design cannot optimize real-time metrics that are measured in temporal dimension. In this paper, we target on optimizing the experience rate, which is defined as the ratio of a user's data packet size to the total time for completely delivering the user's data. A novel multi-stage dynamic resource programming is formulated as a multi-stage mixed integer nonlinear programming (MINLP) problem. Then, a low-complexity iterative algorithm is proposed for a jointly optimizing user scheduling and precoding. In particular, a second cone programming problem is dedicatedly designed, for providing a high-quality initial point for the iterative algorithm. The simulation results demonstrate that the proposed design endorses enhanced experience rate performance, with fast convergence behavior.
KW - Joint design of precoding and user scheduling
KW - multi-stage optimization
KW - time-space-power resource allocation
UR - https://www.scopus.com/pages/publications/85206139672
U2 - 10.1109/VTC2024-Spring62846.2024.10683281
DO - 10.1109/VTC2024-Spring62846.2024.10683281
M3 - 会议稿件
AN - SCOPUS:85206139672
T3 - IEEE Vehicular Technology Conference
BT - 2024 IEEE 99th Vehicular Technology Conference, VTC2024-Spring 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 June 2024 through 27 June 2024
ER -