TY - JOUR
T1 - Resource Allocation for Open-Loop Ultra-Reliable and Low-Latency Uplink Communications in Vehicular Networks
AU - Zhang, Yaoyuan
AU - Zhao, Liqiang
AU - Zheng, Gan
AU - Chu, Xiaoli
AU - Ding, Zhiguo
AU - Chen, Kwang Cheng
N1 - Funding Information:
This work was supported in part by the National Key R&D Program of China under Grants 2019YFE0113200 and 2019YFE0196400, in part by the National Natural Science Foundation of China under Grants 61771358 and 61901317, in part by the Fundamental Research Funds for the Central Universities under Grant JB190104, in part by the Science and Technology Plan of Xian City under Grant 2019217014GXRC006CG007-GXYD6.1, and in part by Joint Education Project between China and Central-Estern European Countries 202005 and in part by 111 Project GrantB08038.
Funding Information:
Manuscript received November 9, 2019; revised April 24, 2020 and December 11, 2020; accepted February 18, 2021. Date of publication February 23, 2021; date of current version April 2, 2021. This work was supported in part by the National Key R&D Program of China under Grants 2019YFE0113200 and 2019YFE0196400, in part by the National Natural Science Foundation of China under Grants 61771358 and 61901317, in part by the Fundamental Research Funds for the Central Universities under Grant JB190104, in part by the Science and Technology Plan of XiAn City under Grant 2019217014GXRC006CG007-GXYD6.1, and in part by Joint Education Project between China and Central-Estern European Countries 202005 and in part by 111 Project Grant B08038. The review of this article was coordinated by Dr. Giuseppe Araniti. (Corresponding author: Liqiang Zhao.) Yaoyuan Zhang and Liqiang Zhao are with the State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, Shaanxi 710071, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - To support ultra-reliable and low-latency communication (URLLC) in vehicular networks, the virtual cells, where multiple access points (APs) cooperatively serve one mobile node, have been proposed to reduce the end-to-end latency in the downlink. The latency can be further reduced by eliminating the need for retransmission and feedback control, i.e., open-loop communications. However, it is difficult to achieve a high reliability of the uplink via virtual cells, because of multiple access interference and collisions from other virtual cells nearby. In this paper, we formulate the proactive radio resource allocation in the open-loop uplink of vehicular networks as a stochastic optimization problem with the objective to maximize the uplink reliability while ensuring the network stability. The optimal resource allocation policies are obtained solving the optimization problem using the Lyapunov optimization technique in a distributed manner. To reduce the computational and to improve the challenges of the Lyapunov optimization, we propose a virtual resource slicing algorithm that maps radio resource units to virtual resource blocks. Simulation results exhibit that both ultra-low latency and ultra high reliability are guaranteed in the open-loop uplink of vehicular networks. Based on the theoretical performance analysis and simulations, the uplink radio access procedure is summarized for the URLLC in vehicular networks.
AB - To support ultra-reliable and low-latency communication (URLLC) in vehicular networks, the virtual cells, where multiple access points (APs) cooperatively serve one mobile node, have been proposed to reduce the end-to-end latency in the downlink. The latency can be further reduced by eliminating the need for retransmission and feedback control, i.e., open-loop communications. However, it is difficult to achieve a high reliability of the uplink via virtual cells, because of multiple access interference and collisions from other virtual cells nearby. In this paper, we formulate the proactive radio resource allocation in the open-loop uplink of vehicular networks as a stochastic optimization problem with the objective to maximize the uplink reliability while ensuring the network stability. The optimal resource allocation policies are obtained solving the optimization problem using the Lyapunov optimization technique in a distributed manner. To reduce the computational and to improve the challenges of the Lyapunov optimization, we propose a virtual resource slicing algorithm that maps radio resource units to virtual resource blocks. Simulation results exhibit that both ultra-low latency and ultra high reliability are guaranteed in the open-loop uplink of vehicular networks. Based on the theoretical performance analysis and simulations, the uplink radio access procedure is summarized for the URLLC in vehicular networks.
KW - 5G
KW - open-loop uplink
KW - proactive radio resource allocation
KW - URLLC
KW - vehicular networks
KW - virtual-cell
UR - https://www.scopus.com/pages/publications/85101738765
U2 - 10.1109/TVT.2021.3061582
DO - 10.1109/TVT.2021.3061582
M3 - Article
AN - SCOPUS:85101738765
SN - 0018-9545
VL - 70
SP - 2590
EP - 2604
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 3
M1 - 9361320
ER -