论文标题
关于物理层模型对车辆环境中D2D扣动性能的影响
On the impact of the physical layer model on the performance of D2D-offloading in vehicular environments
论文作者
论文摘要
从基础架构到设备(I2D)到设备到设备(D2D)通信的卸载数据流量是减少交通拥堵,能源消耗和移动蜂窝网络的光谱使用的有力工具。对D2D数据卸载的先前网络级别的研究将重点放在高级性能指标上作为卸载效率,并考虑了通过使用简单的无线通道模型来考虑无线电传播方面。我们将D2D数据卸载协议量身定制为高度动态场景,作为车辆环境,并评估其侧重于物理层方面的性能,例如能源消耗和光谱效率。我们通过考虑到以前的研究中通常使用的简单性模型来考虑到无线通道的更现实的模型。我们的目标是双重的:首先,要根据能源消耗和光谱效率来量化所考虑的D2D卸载方案的性能增益。其次,表明使用简单的通道模型可能会阻止准确评估性能增益。此外,使用更精心设计的模型可以获取有关相关系统级参数设置的有见地的信息,这是无法通过使用简单模型获得的。在近年来,通过大规模的测量活动提出并验证了所考虑的频道模型。 我们的结果表明,相对于基准细胞系统,所考虑的协议能够使能源消耗降低高达35%,系统光谱效率提高50%。在最坏的情况下,使用不同的通道模型评估这些指标的使用可能会导致六倍的改进低估。
Offloading data traffic from Infrastructure-to-Device (I2D) to Device-to-Device (D2D) communications is a powerful tool for reducing congestion, energy consumption, and spectrum usage of mobile cellular networks. Prior network-level studies on D2D data offloading focus on high level performance metrics as the offloading efficiency, and take into account the radio propagation aspects by using simplistic wireless channel models. We consider a D2D data offloading protocol tailored to highly dynamic scenarios as vehicular environments, and evaluate its performance focusing on physical layer aspects, like energy consumption and spectral efficiency. We do this by taking into account more realistic models of the wireless channel, with respect to the simplistic ones generally used in the previous studies. Our objective is twofold: first, to quantify the performance gain of the considered D2D offloading protocol with respect to a classic cellular network, based on I2D communications, in terms of energy consumption and spectral efficiency. Second, to show that using simplistic channel models may prevent to accurately evaluate the performance gain. Additionally, the use of more elaborated models allows to obtain insightful information on relevant system-level parameters settings, which would not be possible to obtain by using simple models. The considered channel models have been proposed and validated, in the recent years, through large-scale measurements campaigns. Our results show that the considered protocol is able to achieve a reduction in the energy consumption of up to 35%, and an increase in the system spectral efficiency of 50%, with respect to the benchmark cellular system. The use of different channel models in evaluating these metrics may result, in the worst case, in a sixfold underestimation of the achieved improvement.