基于用户个性化服务质量的蜂窝车联网与车载自组织网异构车联网资源分配方法

蜂窝车联网(C-V2X)与车载自组织网络(VANET)的异构融合能够有效提高网络容量.然而,不同网络在非授权频段上共存而引起的信道冲突会导致系统吞吐量降低和用户接入时延增大,无法满足车联网用户对服务质量(QoS)的需求.针对该问题,该文提出一种基于用户个性化QoS需求的时频资源分配方法.首先,分别对C-V2X 和 VANET 的吞吐量和时延进行建模分析,刻画用户数据传输时间配置与吞吐量和时延的数学关系;然后,基于上述模型构建吞吐量-时延联合优化函数,根据用户的个性化QoS需求实现异构网络中吞吐量和时延的优化;最后,提出一种基于改进多目标粒子群优化的时延-吞吐量联合优化算法(DT-JOA)进行求解.仿真结果表明,该文所提网络资源分配算法可以有效地保证用户的个性化QoS需求,提升异构网络综合性能.

A Personalized QoS-based Resource Allocation for Cellular-Vehicle to Everything Network and Vehicle Ad-hoc Network Heterogeneous Vehicular Network

The heterogeneous integration of Cellular-Vehicle to everything (C-V2X) and Vehicle Ad-hoc NETwork (VANET) can effectively increase network capacity. However, the channel conflicts caused by the coexistence of different networks on the unlicensed frequency bands will cause the system throughput to decrease and the user access delay to increase, which can not satisfy the Quality of Service (QoS) requirements. Considering this problem, a time-frequency resource allocation method based on personalized QoS is proposed. Firstly, the throughput and delay models of C-V2X and VANET are established respectively to determine the mathematical relationship between user data transmission time configuration and throughput and delay. Then, based on the above mathematical models, a Delay-Throughput Joint Optimization Algorithm (DT-JOA) is established to optimize throughput and delay in a heterogeneous network according to the personalized QoS requirements of users. Finally, a joint optimization algorithm for delay and throughput based on Particle Swarm Optimization (PSO) is proposed. The simulation results show that the proposed algorithm can meet the personalized QoS requirements of users and significantly improve the comprehensive performance of heterogeneous networks.