协作电力线通信中的中继选择：多臂Bandit方法
Relay Selection in Cooperative Power Line Communication: A Multi-Armed Bandit Approach
摘要：
电力线通信（PLC）利用电力传输系统的安装基础设施的存在，以便在电力线上传输数据。在PLC网络中，网络的不同节点经由电力输送传输线互连，并且数据信号在它们之间流动。然而，电力线通信信道的衰减和恶劣的环境，使得网络中相距较远的两个节点之间很难建立可靠的通信。中继和协作通信已被用来克服这个问题。在本文中，两跳合作PLC已被研究，其中的数据是通过一个单一的阵列节点，它必须从一组可用的阵列中选择的发送器和接收器节点之间进行通信。中继选择问题可以通过在发射机处具有信道状态信息（CSI）并且选择导致最佳性能的中继来解决。然而，在发射机处获取信道状态信息增加了通信系统的复杂度，并且给系统引入了不期望的开销。我们提出了一类机器学习方案，即多臂强盗（MAB），解决中继选择问题，而无需在发送端的信道的知识。此外，我们开发了一种新的MAB算法，利用PLC信道的同步脉冲噪声的周期性，以改善中继选择算法。
英文摘要：
Power line communication (PLC) exploits the existence of installed infrastructure of power delivery system, in order to transmit data over power lines. In PLC networks, different nodes of the network are interconnected via power delivery transmission lines, and the data signal is flowing between them. However, the attenuation and the harsh environment of the power line communication channels, makes it difficult to establish a reliable communication between two nodes of the network which are separated by a long distance. Relaying and cooperative communication has been used to overcome this problem. In this paper a two-hop cooperative PLC has been studied, where the data is communicated between a transmitter and a receiver node, through a single array node which has to be selected from a set of available arrays. The relay selection problem can be solved by having channel state information (CSI) at transmitter and selecting the relay which results in the best performance. However, acquiring the channel state information at transmitter increases the complexity of the communication system and introduces undesired overhead to the system. We propose a class of machine learning schemes, namely multi-armed bandit (MAB), to solve the relay selection problem without the knowledge of the channel at the transmitter. Furthermore, we develop a new MAB algorithm which exploits the periodicity of the synchronous impulsive noise of the PLC channel, in order to improve the relay selection algorithm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
