摘要:
Systems and methods for adaptive modulation and coding with frame size adjustment are described. In various implementations, these systems and methods may be applicable to Power Line Communications (PLC). For example, a method may include identifying a temporal region of a cyclostationary noise over which a frame is to be sent across a PLC network, the cyclostationary noise having a plurality of temporal regions, each of the plurality of temporal regions having a distinct spectral shape. The method may also include applying a given one of a plurality of Modulation and Coding Schemes (MCSs) to the frame to produce a modulated frame, wherein the given one of the plurality of MCSs is selected based, least in part, upon the spectral shape corresponding to the identified temporal region. The method may further include transmitting the modulated frame across the PLC network, at least in part, over the identified temporal region.
摘要:
Systems and methods for Carrier Sense Multiple Access (CSMA) and collision detection using a noise model are described. In various implementations, these systems and methods may be applicable to Power Line Communications (PLC). For example, a method may include receiving a signal via a communications channel in a PLC network, determining a feature of the signal, comparing the feature of the signal with a corresponding feature of a cyclostationary noise model, and taking a predetermined action based, at least in part, upon the comparison. In some implementations, taking the predetermined action may include determining whether to backoff or to transmit a packet over the communications channel. In other implementations, taking the predetermined action may include determining whether an error is due to a packet collision or due to a low quality of the communications channel.
摘要:
The present disclosure provides connection management techniques based on graph neural networks (GNN) and deep reinforcement learning (DRL) to optimize user association and load balancing. A graph structure of a communication network is considered for the GNN architecture and DRL is used to learn parameters of the GNN algorithm/model. Connection management is defined as a combinatorial graph optimization problem, and the DRL mechanism uses the underlying graph to learn weights of the GNN for an optimal user connections or associations. The connection management techniques can consider local network features to make better decisions to balance network traffic load while network throughput is also maximized. Implementations are provided based on edge computing frameworks include the Open RAN (O-RAN) architecture. Other embodiments may be described and/or claimed.
摘要:
Systems and methods for adaptive modulation and coding with frame size adjustment are described. In various implementations, these systems and methods may be applicable to Power Line Communications (PLC). For example, a method may include identifying a temporal region of a cyclostationary noise over which a frame is to be sent across a PLC network, the cyclostationary noise having a plurality of temporal regions, each of the plurality of temporal regions having a distinct spectral shape. The method may also include applying a given one of a plurality of Modulation and Coding Schemes (MCSs) to the frame to produce a modulated frame, wherein the given one of the plurality of MCSs is selected based, least in part, upon the spectral shape corresponding to the identified temporal region. The method may further include transmitting the modulated frame across the PLC network, at least in part, over the identified temporal region.