Distributed Scheduling and Power Control for Predictable IoT Communication Reliability
Distributed Scheduling and Power Control for Predictable IoT Communication Reliability
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DOI：
10.1109/icc.2018.8422893
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发表时间：
2018-05
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影响因子：
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通讯作者：
Ling Wang;Hongwei Zhang;Pengfei Ren
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作者：
Ling Wang;Hongwei Zhang;Pengfei Ren
任务关键型物联网应用（如无线网络工业控制）需要可靠的无线通信。由于同信道干扰和无线信道动态（例如，多径衰落），然而，无线通信本质上是动态的，并且受到复杂的不确定性的影响。联合调度和功率控制已经被探索用于可靠的无线通信，但是现有的解决方案大多是集中式的或者不考虑诸如快速信道衰落的现实世界的挑战。为了奠定关键任务物联网通信的基础，我们开发了一种分布式的、可现场部署的联合调度和功率控制方法，该方法可自适应地调节同信道干扰，并在存在无线通信动态和不确定性的情况下确保可预测的物联网通信可靠性。我们的方法有效地利用了Perron-Frobenius理论，物理比K（k）干扰模型，并反馈控制的k模型自适应和传输功率更新。通过仿真分析，我们已经表明，我们的方法提高了70%的并发性比最先进的固定调度，同时确保成功的SINR跟踪随着时间的推移。据我们所知，我们的方法是第一个分布式调度和功率控制方案，在考虑快速信道衰落等现实挑战的同时，确保可预测的无线通信可靠性，预计将作为使命关键型物联网系统的现实部署基础。
Mission-critical IoT applications such as wirelessnetworked industrial control require reliable wireless communication. Due to co-channel interference and wireless channel dynamics (e.g., multi-path fading), however, wireless communication is inherently dynamic and subject to complex uncertainties. Joint scheduling and power control has been explored for reliable wireless communication, but existing solutions are mostly centralized or do not consider real-world challenges such as fast channel fading. Towards a foundation for mission-critical IoT communication, we develop a distributed, field-deployable approach to joint scheduling and power control that adaptively regulates cochannel interference and ensures predictable IoT communication reliability in the presence of wireless communication dynamics and uncertainties. Our approach effectively leverages the Perron-Frobenius theory, physical-ratio- K (PRK) interference model, and feedback control for PRK model adaptation and transmission power update. Through simulation analysis, we have shown that our approach improves concurrency by 70% than state-of-art fixed scheduling while ensuring successful SINR tracking over time. To the best of our knowledge, our approach is the first distributed scheduling and power control scheme that ensures predictable wireless communication reliability while considering real-world challenges such as fast channel fading, and it is expected to serve as a foundation for real-world deployment of mission- critical IoT systems.