Vehicle-to-vehicle (V2V) communications under dense urban environments usually experience severe keyhole fading effect especially for multi-input multi-output (MIMO) channels, which degrades the capacity and outage performance due to the rank deficiency. To avoid these, the integration of MIMO and hybrid automatic repeat request (HARQ) is proposed to assist V2V communications in this paper. By using the methods of integral transforms, the outage probabilities are derived in closed-form for different HARQ-assisted schemes, including Type I-HARQ, HARQ with chase combining (HARQ-CC), and HARQ with incremental redundancy (HARQ-IR). With the results, meaningful insights are gained by conducting the asymptotic outage analysis. Specifically, it is revealed that full time diversity order can be achieved, while full spatial diversity order is unreachable as compared to MIMO-HARQ systems without keyhole effect. Moreover, we prove that the asymptotic outage probability is a monotonically increasing and convex function of the transmission rate. More importantly, although HARQ-IR performs better than HARQ-CC owing to its higher coding complexity, this advantage becomes negligible in the large-scale array regime. Finally, the numerical results are verified by Monte-Carlo simulations along with some in-depth discussions.
翻译:在密集的城市环境中,车辆对车辆的通信通常会遇到严重的关键孔退缩效应,特别是对多投入多产出(MIMO)渠道而言,这会降低能力和因品位不足而导致的故障性能。为避免这些后果,建议整合MIMO和混合自动重复请求(HARQ),以协助V2V的通信。通过采用整体变换方法,不同HARQ辅助计划的闭式模式中得出了异常概率,包括I-HARQ、HARQ与追逐组合(HARQ-CC)和HARQ与递增冗余(HARQ-IR)等。随着这些结果,通过进行无药用外差分析,获得了有意义的见解。具体地说,在本文件中,可以实现完全的多样化秩序,而与MIMO-HARQ系统相比,完全的空间多样性秩序是无法实现的。此外,我们证明,无药性外差概率是更高传输率的单质增长和共性功能。更重要的是,尽管HARQ-IR在深度分析中,通过模型化的大幅增长优势,通过模拟系统最终优势,比数字级的模型,比模拟系统更能更好。