论文标题
基于NOMA的车辆到基础结构通信的动态功率和费率分配
Dynamic Power and Rate Allocation for NOMA Based Vehicle-to-Infrastructure Communications
论文作者
论文摘要
在本文中，考虑了基于非正交的多重访问（NOMA）的下行链路对框架网络。特别是，我们专注于两个用户的特定情况，其中一个需要可靠的道路安全数据传输，而另一个则需要高容量服务，并扩展到多用户方案。仅利用频道状态信息的缓慢褪色，发射功率和目标速率共同优化，以最大程度地提高饥饿用户的预期总和吞吐量，并考虑到可靠性敏感用户的有效载荷交付中断概率。通过引入双重变量，优化作为无约束的单目标顺序决策问题。然后，基于动态编程的算法旨在得出最大化Lagrangian的最佳策略。之后，提出了一种基于二分线搜索的方法来找到最佳的双重变量。在预期回报，性能区域和客观值方面，数值结果表明了所提出的方案优于基线方法。
In this paper, a non-orthogonal multiple access (NOMA) based downlink vehicle-to-infrastructure network is considered. Particularly, we focus on the specific case of two users, one of which requires reliable road-safety-critical data transmission while the other pursues high-capacity services, with extension to multi-user scenarios. Leveraging only slow fading of channel state information, the transmit powers and target rates are jointly optimized to maximize the expected sum throughput of the capacity hungry user, with consideration of the payload delivery outage probability of the reliability sensitive user. The optimization is formulated as an unconstrained single-objective sequential decision problem via introducing a dual variable. A dynamic programming based algorithm is then designed to derive the optimal policy that maximizes the Lagrangian. Afterwards, a bisection search based method is proposed to find the optimal dual variable. The proposed scheme is shown by numerical results to be superior to the baseline methods in terms of the expected return, performance region, and objective value.
