Abstract: A computer implemented method predicts by a neural network a radio spectrum usage in an environment comprising interferers and a plurality of wireless nodes. The nodes operate via a slotted medium access control, MAC, protocol within a radio spectrum. The method includes the following steps: obtaining per slot the radio spectrum usage by sensing the radio spectrum, labelling the slots as usable when a respective radio spectrum usage is lower than a predefined noise threshold or when a node successfully transmitted a packet through it, unusable when it is not usable and suitable to receive a packet, and calculating a loss function as a cross entropy loss with the usable and unusable slots over a total number of usable and unusable slots, and training the neural network by minimizing the loss function.

Abstract: A computer-implemented method providing a neural network for identifying radio technologies employed in an environment. The neural network includes an autoencoder having an encoder, and a classifier. The method has the steps of sensing a radio spectrum of the environment thereby obtaining a set of data samples, labelling a subset of the data samples by a respective radio technology thereby obtaining labelled data samples, training the autoencoder in an unsupervised way by unlabelled data samples, training the classifier in a supervised way by the labelled data samples, and providing the neural network by coupling the output of an encoder network of the autoencoder to an input of the classifier.

Abstract: The invention pertains to a method for determining transmission parameters in a wireless local area network operating under a restricted access window scheme, said wireless local area network comprising an access point and a plurality of stations, the method comprising at said access point: estimating (230) respective transmission intervals and next transmission times of said plurality of stations; and assigning (260) a subset of said plurality of stations to a restricted access window group on the basis of said estimated next transmission times. The invention also pertains to a computer program product comprising code means configured to cause a processor to carry out the method and an access point configured to carry out the method.

Abstract: A computer-implemented method for exploring, by a table-based parallel reinforcement learning, PRL, algorithm, an unexplored domain comprising a plurality of agents and states, the unexplored domain represented by a state-action space. The method includes the steps performed by one or more of the plurality of agents receiving an assigned partition of the state-action space represented by a table; and executing during a plurality of episodes actions for states within the partition. An action transits a state; and granting to a transited state a reward; and exchanging state-action values with other agents of the plurality of agents in the domain; and updating the table.

Abstract: The invention pertains to a method for determining transmission parameters in a wireless local area network operating under a restricted access window scheme, said wireless local area network comprising an access point and a plurality of stations, the method comprising at said access point: estimating (230) respective transmission intervals and next transmission times of said plurality of stations; and assigning (260) a subset of said plurality of stations to a restricted access window group on the basis of said estimated next transmission times. The invention also pertains to a computer program product comprising code means configured to cause a processor to carry out the method and an access point configured to carry out the method.

Abstract: A method and system for enabling a plurality of adaptive streaming client devices to share network resources includes a network node monitoring chunk request messages of client devices configured to select a quality level of a chunk from a plurality of quality levels and to request a media server for transmission of a chunk of the selected quality level. The quality level in a monitored chunk request message of a client device is used to estimate local quality information associated with the quality performance of the client device. Global quality information, determined based on the estimated local quality information associated with the client devices, and being indicative of the global quality performance of the client devices, is sent to the client devices.

Abstract: A method and system for enabling a plurality of adaptive streaming client devices to share network resources includes a network node monitoring chunk request messages of client devices configured to select a quality level of a chunk from a plurality of quality levels and to request a media server for transmission of a chunk of the selected quality level. The quality level in a monitored chunk request message of a client device is used to estimate local quality information associated with the quality performance of the client device. Global quality information, determined based on the estimated local quality information associated with the client devices, and being indicative of the global quality performance of the client devices, is sent to the client devices.

Abstract: A method for providing chunked content to a device having a streaming client, chunked content defined on the basis of a manifest file having chunk identifiers and associated chunk locators for locating delivery nodes configured to deliver chunks identified by the chunk identifiers. Whether a chunk identified by a chunk identifier in a chunk request message originating from the client can be delivered by a first delivery node is determined, the request message including a first network address associated with the first node. If the first node cannot deliver the chunk to the client, the first address is rewritten into a second network address associated with a delivery node capable of delivering the chunk before sending the request message to the second node. Before sending a chunk response message associated with the request message to the client, the second address in the response message is rewritten into the first address.