Yan Ruowen, Li Qiao, Xiong Huagang
School of Electronic Information Engineering, Beihang University, Beijing 100083, China.
Sensors (Basel). 2024 Nov 29;24(23):7644. doi: 10.3390/s24237644.
This paper addresses the critical needs of the aviation industry in advancing towards More Electric Aircraft (MEA) by leveraging power line communication (PLC) technology, which merges data and power transmission to offer substantial reductions in aircraft system weight and cost. We introduce pioneering algorithms for channel division and subchannel allocation within Orthogonal Frequency Division Multiple Access (OFDMA)-based airborne PLC networks, aimed at optimizing network performance in key areas such as throughput, average delay, and fairness. The proposed channel division algorithm dynamically adjusts the count of subchannels to maximize Channel Division Gain (CDG), responding adeptly to fluctuations in network conditions and node density. Concurrently, the subchannel allocation algorithm employs a novel metric, the Subchannel Preference Score (SPS), which factors in both the signal quality and the current occupancy levels of each subchannel to determine their optimal allocation among nodes. This method ensures efficient resource utilization and maintains consistent network performance. Extensive simulations, conducted using the OMNeT++ simulator, have demonstrated that our adaptive algorithms significantly outperform existing methods, providing higher throughput, reduced delays, and improved fairness across the network. These advancements represent a significant leap in MAC protocol design for airborne PLC systems. The outcomes suggest that our algorithms offer a robust and adaptable solution, aligning with the rigorous demands of modern avionics and paving the way for the future integration of MEA technologies.
本文通过利用电力线通信（PLC）技术，满足了航空业向多电飞机（MEA）发展的关键需求，该技术将数据与电力传输相结合，可大幅减轻飞机系统重量并降低成本。我们针对基于正交频分多址（OFDMA）的机载PLC网络，引入了用于信道划分和子信道分配的开创性算法，旨在优化网络在吞吐量、平均延迟和公平性等关键领域的性能。所提出的信道划分算法动态调整子信道数量，以最大化信道划分增益（CDG），能够灵活应对网络条件和节点密度的波动。同时，子信道分配算法采用了一种新颖的指标——子信道偏好分数（SPS），该指标综合考虑每个子信道的信号质量和当前占用水平，以确定其在节点间的最优分配。这种方法确保了资源的高效利用，并维持一致的网络性能。使用OMNeT++模拟器进行的广泛仿真表明，我们的自适应算法显著优于现有方法，在整个网络中提供了更高的吞吐量、更低的延迟和更好的公平性。这些进展代表了机载PLC系统MAC协议设计的重大飞跃。结果表明，我们的算法提供了一个强大且适应性强的解决方案，符合现代航空电子设备的严格要求，为MEA技术的未来集成铺平了道路。
