BEAMWAVE：工业IoT mmWave网络中叠加传输的跨层波束成形和调度
BEAMWAVE: Cross-Layer Beamforming and Scheduling for Superimposed Transmissions in Industrial IoT mmWave Networks
摘要：
物联网设备在工业4.0中的无处不在预计将促进更高的可靠性，安全性和效率。然而，互连大量的无线设备而不危及系统性能证明是具有挑战性的。为了满足未来工业的需求，我们研究了毫米波段分层复用（LDM）系统中波束形成和调度的跨层设计。调度是至关重要的，因为工业环境中的设备预计将迅速激增。此外，高性能波束成形是必要的，以确保可扩展性。通过采用LDM，可以非正交地叠加多个传输。具体来说，我们认为一个优越的重要性控制组播消息需要无处不在的所有设备和重要性的私人单播消息的目标是一个子集的预定设备。由于NP困难，我们提出了BEAMWAVE，它将问题分解为波束形成和调度。通过仿真，我们表明，BEAMWAVE达到近最优，优于其他竞争计划。
英文摘要：
The omnipresence of IoT devices in Industry 4.0 is expected to foster higher reliability, safety, and efficiency. However, interconnecting a large number of wireless devices without jeopardizing the system performance proves challenging. To address the requirements of future industries, we investigate the cross-layer design of beamforming and scheduling for layered-division multiplexing (LDM) systems in millimeter-wave bands. Scheduling is crucial as the devices in industrial settings are expected to proliferate rapidly. Also, highly performant beamforming is necessary to ensure scalability. By adopting LDM, multiple transmissions can be non-orthogonally superimposed. Specifically, we consider a superior-importance control multicast message required to be ubiquitous to all devices and inferior-importance private unicast messages targeting a subset of scheduled devices. Due to NP-hardness, we propose BEAMWAVE, which decomposes the problem into beamforming and scheduling. Through simulations, we show that BEAMWAVE attains near-optimality and outperforms other competing schemes.
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