Vehicular ad hoc networks (VANETs) are able to facilitate data exchange among vehicles and provide diverse data services. The benefits of cooperative communications are such as to make it a proper idea to improve the achievable rate and diversity in VANETs. We investigate a dual-hop relay vehicular network with different transmit powers in vehicles on non-uniform shadowed double Nakagami-m fading channels in the presence of non-uniform co-channel interferers. In this paper, we investigate the diversity-multiplexing tradeoff (DMT) in such a network for three different schemes, namely, dynamic decode and forward (DDF), dynamic quantize map and forward and static quantize map and forward and prove that the DDF strategy has the optimal DMT. Also, the optimal listening and transmitting time of vehicles in various strategies as a function of the channel conditions in vehicles are determined. Finally, we extend our results to a general multi-hop relay vehicular network model with multiple half-duplex relay terminals and different average SNRs over links.

车载自组织网络（VANET）能够促进车辆之间的数据交换并提供多种数据服务。协作通信的好处是使它成为提高VANET的可实现速率和多样性的正确方法。我们调查，在车辆不同的发射功率非均匀双跳中继车载网络阴影双Nakagami-米在存在非均匀同频干扰源的情况下使信道衰落。在本文中，我们针对三种不同的方案，即动态解码和转发（DDF），动态量化图和前向和静态量化图和前向三种方案，研究了这种网络中的分集复用折衷（DMT），并证明了DDF策略具有最佳的DMT。而且，根据车辆中的信道条件，确定了各种策略中车辆的最佳收听和发送时间。最后，我们将结果扩展到具有多个半双工中继终端和链路上不同平均SNR的通用多跳中继车辆网络模型。