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A Power Control Algorithm Based on Outage Probability Awareness in Vehicular Ad Hoc Networks

机译:车辆自组织网络中基于断电概率感知的功率控制算法

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This paper addresses the problem of adaptive power control based on outage probability minimization in Vehicular Ad Hoc Networks (VANETs), called a Power Control Algorithm Based on Outage Probability Awareness (PC-OPA). Unlike most of the existing works, our power control method aims at minimizing the outage probability and then is subject to the density of nodes in certain area. To fulfill power control, cumulative interference is assumed to be available at the transmitter of each terminal. The transmitters sent data by maximum power and then get the cumulative interference-aware outage probability. Furthermore, we build the interference model by stochastic geometric theory and then derive the expression between outage probability and cumulative interference. According to the expression, we adjust the transmitter power and optimize the outage probability. Simulation results are provided to demonstrate the effectiveness of the proposed power control strategies. It is shown that the PC-OPA can achieve a significant performance gain in terms of the outage probability and throughputs. Comparing MPC (Maximum Power Control algorithm) and WFPC (Water-Filled Power Control algorithm), the proposed PC-OPA decreased by 23% in terms of the outage probability and increased by 25% in terms of throughputs.
机译:本文解决了车载自组织网络(VANET)中基于中断概率最小化的自适应功率控制问题,称为基于中断概率感知的功率控制算法(PC-OPA)。与大多数现有工作不同,我们的功率控制方法旨在最大程度地降低断电概率,然后受制于特定区域中节点的密度。为了实现功率控制,假定在每个终端的发射机处都有累积干扰。发射机以最大功率发送数据,然后获得累积的干扰感知中断概率。此外,我们采用随机几何理论建立了干扰模型,然后推导了中断概率与累积干扰之间的关系式。根据表达式,我们调整发射器功率并优化中断概率。仿真结果表明了所提出的功率控制策略的有效性。从中断概率和吞吐量方面来看,PC-OPA可以显着提高性能。比较MPC(最大功率控制算法)和WFPC(注水功率控制算法),建议的PC-OPA的停机可能性降低了23%,而吞吐量则提高了25%。

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