Two-Timescale Resource Management for Ultrareliable and Low-Latency Vehicular Communications

被引:8
作者
Ding, Guangyao [1 ,2 ]
Yuan, Jiantao [3 ]
Yu, Guanding [1 ,2 ]
Jiang, Yuan [4 ]
机构
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
[2] Zhejiang Prov Key Lab Informat Proc Commun & Netw, Hangzhou 310027, Peoples R China
[3] Zhejiang Univ City Coll, Sch Informat & Elect Engn, Hangzhou 310015, Peoples R China
[4] Sun Yat Sen Univ, Sch Elect & Commun Engn, Guangzhou 510005, Peoples R China
关键词
Resource management; Ultra reliable low latency communication; Reliability; Optimization; Vehicular ad hoc networks; Performance evaluation; Device-to-device communication; 5G; ultra-reliable low-latency communications (URLLC); vehicle-to-vehicle (V2V) communications; resource allocation; WIRELESS COMMUNICATIONS; EFFECTIVE CAPACITY; ALLOCATION; 5G; LTE; RELIABILITY; PROTOCOL; MODEL; TAIL; D2D;
D O I
10.1109/TCOMM.2022.3162366
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Ultra-reliable low-latency communication (URLLC) is essential for future vehicle-to-vehicle (V2V) networks to improve traffic safety and enhance driving experience. Due to the fast-varying channel caused by high mobility, guaranteeing latency and reliability performance of the V2V links is a tremendous challenge. In this paper, we propose a novel resource allocation framework to support ultra-reliable low-latency V2V communications. The proposed framework includes both large-scale and small-scale resource optimizations. The large-scale resource allocation is performed at the central base station based on large-scale channel information periodically collected from vehicles. On the other hand, the small-scale resource allocation is performed at the vehicles according to instantaneous channel and queuing information. We develop optimal solutions for both resource allocation problems. With the proposed optimal solutions, the latency performance at the occurrence of extreme events is enhanced by enabling spectrum sharing among the vehicles. Simulation results demonstrate that the proposed algorithm can effectively improve the URLLC performance compared against the benchmark algorithm.
引用
收藏
页码:3282 / 3294
页数:13
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