A Novel DCT-Based Compression Scheme for 5G Vehicular Networks
A Novel DCT-Based Compression Scheme for 5G Vehicular Networks
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DOI：
10.1109/tvt.2019.2939619
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发表时间：
2019-11-01
影响因子：
6.8
通讯作者：
Guizani, Mohsen
中科院分区：
文献类型：
--
作者：
Su, Yuhan;Lu, Xiaozhen;Guizani, Mohsen
下一代（5G）车载网络将支持各种网络应用，这对无线接入技术提出了特定的要求和挑战。这一趋势推动了长期演进车辆（LTE-V）网络的发展，这是一种基于5G蜂窝的车辆技术。由于车辆通信的带宽有限，因此有效地利用车辆网络中的微薄频谱资源是重要的。在本文中，我们介绍了一种基于云无线电接入网络（C-RAN）的车载网络架构，命名为C-VRAN，它有利于有效的管理和集中处理的车载网络。此外，我们提出了一种基于离散余弦变换（DCT）的数据压缩方案的C-VRAN，以提高有效的数据传输率的前传网络。该方案首先利用DCT对LTE-V I/Q数据进行时频转换，然后利用Waveld-Max算法在频域对数据进行量化，最后选择合适的编码方案以获得更好的性能。仿真结果表明，在误差矢量幅度失真小于1%的情况下，该方案可以实现3倍的压缩比，并且具有较强的独立性和通用性，可以作为独立模块应用于当前的LTE-V系统。
Next-generation (5G) vehicular networks will support various network applications, leading to specific requirements and challenges for wireless access technologies. This trend has motivated the development of the long-term evolution-vehicle (LTE-V) network, a 5G cellular-based vehicular technology. Due to the limited bandwidth for vehicular communications, it is important to efficiently utilize slim spectrum resources in vehicular networks. In this paper, we introduce a cloud radio access network (C-RAN)based vehicular network architecture, named C-VRAN, which facilitates efficient management and centralized processing of vehicular networks. Furthermore, we propose a discrete cosine transform (DCT)-based data compression scheme for C-VRAN to enhance the effective data rate of the fronthaul network. This scheme first uses DCT to perform time-frequency conversion of LTE-V I/Q data and then utilizes the Lloyd-Max algorithm to quantify data in the frequency domain before finally selecting an appropriate coding scheme to achieve better performance. Simulation results show that the proposed scheme can achieve 3 times compression ratio within 1% error vector amplitude distortion, and it also has strong independence and versatility, allowing it to be used as a standalone module for the current LTE-V system.