摘要:
This disclosure is directed to a composable thin computing device. An example device may comprise at least a device interface module, a communication module, a processing module, a memory module, a composable computing module and a power module. The device interface module may couple the device to an operational environment via at least one of a physical connector or a wireless connection. The communication module may at least one of transmit or receive data via the device interface module. The processing module may process the data. The memory module may store at least a portion of the data. The composable computing module may cause at least one of the above modules to perform certain functionality related to the operational environment. The power module may power at least one of the above modules.
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:
This disclosure is directed to data prioritization, storage and protection in a vehicular communication system. A black box (BB) in a vehicle may receive data from an on-board unit (OBU) and a vehicular control architecture (VCA). The OBU may interact with at least one RSU that is part of an intelligent transportation system (ITS) via at least two channels, at least one of the at least two channels being reserved for high priority messages. The OBU may transmit ITS data to the BB via a secure communication channel, which may be stored along with vehicular data received from the VCA in encrypted form. In response to a request for data, the BB may authenticate a requesting party, determine at least part of the stored data to which the authenticated party is allowed and sign the at least part of the stored data before providing it to the authenticated party.