Abstract: A method for controlling the admission of slices in a virtualized telecommunication network and the congestion generated between services with different priorities instantiated on the slices and likely to share a given quantity of resources comprising the following steps of: defining a priority scale to be assigned to the network slices, defining a low priority threshold, determining the quantity of available and used network resources sp(t) and xp(t), determining the quantity of resources allocated to slices with a priority lower than the low priority threshold and which may be temporarily assigned to new slices with a priority higher than the threshold, and determining the slices likely to be accepted into the network, taking into account the available resources and the priority of the slices.

Abstract: The invention relates to a method for optimizing the quantity of network resources and the number of services likely to use said resources in a virtualized telecommunications network comprising the following steps of: evaluating similarities between the services likely to use said resources in terms of the virtual network functions VNFs required for the instantiation of each service, gathering services as a function of their similarities in order to maximize resource sharing, calculating additional resources to accept services awaiting instantiation; running an admission control scheme to accept or reject requests for the instantiation of new services.

Abstract: A method for associating user equipment with base stations of a cellular network such as a 5G network. An agent receives an observation of its environment and deduces an action therefrom, this action being manifested as an association request of the user to a neighboring base station. This action is chosen according to a strategy of the user seeking the maximum of a function of action value for the observation and several possible actions. Once the actions have been carried out by the various actions, a common reward is provided by the network to the various users, the latter being zero in the case of a collision of association requests and the result of a utility function otherwise. The function of action value for the various possible actions is predicted by a recurrent neural network trained on a set of experiments stored in a local memory.

Abstract: A method for jointly optimizing beam selection and partitioning of transmission resources for a downlink between a base station (BS) and a user equipment (UE) in a mm-wave cellular network such as the small cell layer of a 5G network. A UE position estimate is used for accurate BS beam selection and alignment between the BS and UE beams and/or provide position-based services or functionalities. An optimal partitioning factor is obtained either by maximizing a communication performance indicator while meeting a constraint upon a localization performance indicator or by maximizing a localization performance indicator while meeting a constraint upon a communication performance indicator. A communication performance indicator can be an effective rate coverage probability or an effective throughput.

Abstract: A method for selection of unlicensed transmission resources to set up a communication between a base station, such as a base station of a small cell of a heterogeneous cellular network, and a mobile terminal. The transmission resource is selected coherently by the base station and the mobile terminal from transmission quality indices for these resources. The quality index of a resource is determined by the base station (or the mobile terminal) from the state of at least one first counter of the base station (or the mobile terminal) associated with this resource. The first counter of the base station associated with a selected resource is incremented if the selected resource is available. The first counter of the mobile terminal associated with a selected resource is incremented if it receives a beacon signal on the selected resource.

Abstract: A fast beam training method for a couple of user equipment, UE, and base station, BS, belonging to a mobile communication network such as a 5G network. A pair of iterative loops involves the UE and the BS, and iteratively refine the respective orientation and beamwidth of the transmit beam at the BS side and receive beam at UE side, based on an iteratively refined estimate of the UE position and Angle of Arrival at the UE. The iterative loops can be performed in series or in parallel. The beam training method converges when predetermined constraints on the standard deviations of the estimated UE position and estimated angle of arrival of the downlink signal at the UE are both met. The refined position of the UE can be used for a subsequent localization-assisted communication.

Abstract: A method for jointly optimizing beam selection and partitioning of transmission resources for a downlink between a base station (BS) and a user equipment (UE) in a mm-wave cellular network such as the small cell layer of a 5G network. A UE position estimate is used for accurate BS beam selection and alignment between the BS and UE beams and/or provide position-based services or functionalities. An optimal partitioning factor is obtained either by maximizing a communication performance indicator while meeting a constraint upon a localization performance indicator or by maximizing a localization performance indicator while meeting a constraint upon a communication performance indicator. A communication performance indicator can be an effective rate coverage probability or an effective throughput.

Abstract: A fast beam training method for a couple of user equipment, UE, and base station, BS, belonging to a mobile communication network such as a 5G network. A pair of iterative loops involves the UE and the BS, and iteratively refine the respective orientation and beamwidth of the transmit beam at the BS side and receive beam at UE side, based on an iteratively refined estimate of the UE position and Angle of Arrival at the UE. The iterative loops can be performed in series or in parallel. The beam training method converges when predetermined constraints on the standard deviations of the estimated UE position and estimated angle of arrival of the downlink signal at the UE are both met. The refined position of the UE can be used for a subsequent localization-assisted communication.

Abstract: A method for associating user equipment with base stations of a cellular network such as a 5G network. An agent receives an observation of its environment and deduces an action therefrom, this action being manifested as an association request of the user to a neighboring base station. This action is chosen according to a strategy of the user seeking the maximum of a function of action value for the observation and several possible actions. Once the actions have been carried out by the various actions, a common reward is provided by the network to the various users, the latter being zero in the case of a collision of association requests and the result of a utility function otherwise. The function of action value for the various possible actions is predicted by a recurrent neural network trained on a set of experiments stored in a local memory.

Abstract: The invention relates to a method for controlling the admission of slices in a virtualized telecommunication network and the congestion generated between services with different priorities instantiated on said slices and likely to share a given quantity of resources comprising the following steps of: defining a priority scale to be assigned to the network slices, defining a low priority threshold, determining the quantity of available and used network resources sp(t) and xp(t), determining the quantity of resources allocated to slices with a priority lower than the low priority threshold and which may be temporarily assigned to new slices with a priority higher than said threshold, determining the slices likely to be accepted into the network, taking into account the available resources and the priority of the slices.

Abstract: The invention relates to a method for optimizing the quantity of network resources and the number of services likely to use said resources in a virtualized telecommunications network comprising the following steps of: evaluating similarities between the services likely to use said resources in terms of the virtual network functions VNFs required for the instantiation of each service, gathering services as a function of their similarities in order to maximize resource sharing, calculating additional resources to accept services awaiting instantiation; running an admission control scheme to accept or reject requests for the instantiation of new services.

Abstract: The invention relates to a method for scheduling packets belonging to a plurality of data flow categories in a multi-access telecommunication system sharing a plurality of transmission resources. The method comprises at each transmission time interval, selecting, by a planner (CT, CF) a resource allocation plan and allocating the transmission resources to the data flows in accordance with the selected resource allocation plan. This selection is made by querying a look-up table (LUT) the content of which results from the implementation of a reinforcement learning and which makes it possible to identify, from the current state of the multi-access telecommunication system (s[t)]), the resource allocation plan to be selected, this plan being optimum to fulfil heterogeneous needs in terms of quality of service.

Abstract: This invention relates to a method for selection of unlicensed transmission resources to set up a communication between a base station such as a base station of a small cell of a heterogeneous cellular network and a mobile terminal. The transmission resource is selected coherently by the base station and the mobile terminal from transmission quality indices for these resources. The quality index of a resource is determined by the base station (or the mobile terminal) from the state of at least one first counter of the base station (or the mobile terminal) associated with this resource. The first counter of the base station associated with a selected resource is incremented if the selected resource is available. The first counter of the mobile terminal associated with a selected resource is incremented if it receives a beacon signal on the selected resource.

Abstract: A method for distributing the traffic load in a multi radio access technology heterogeneous network, the network including macrocells operating in a first sub-6 GHz band, and minicells that can operate in the sub-6 GHz band and in a millimeter band. The distribution of the traffic is carried out with an association strategy that calls upon, on the first hand, a first bias (QT) in order to favour the association with the base stations of the minicells/macrocells and a second bias (QR) in order to favour the use of the millimeter/sub-6 GHz band when the terminal is associated with a base station SBS of a minicell.

Abstract: The radio access system (1) for the communication network includes a radio transceiver (2), a device for connecting to an electrical grid (6), an electrical energy production device (4) and a battery (5) for storing electrical energy produced by said production device (4) and for electrically powering the radio transceiver (2). According to the invention, a control device (100) determines an operating strategy for the battery (5) by optimizing an objective function (O) that associates a cost with a possible operating strategy for the battery (5) during a period of determined duration T and while respecting at least one constraint for protecting the battery (5) against accelerated ageing, and manages the incoming and outgoing flows of electrical energy of the battery (5) depending on the determined operating strategy.

Abstract: The invention relates to a method for scheduling packets belonging to a plurality of data flow categories in a multi-access telecommunication system sharing a plurality of transmission resources. The method comprises at each transmission time interval, selecting, by a planner (CT, CF) a resource allocation plan and allocating the transmission resources to the data flows in accordance with the selected resource allocation plan. This selection is made by querying a look-up table (LUT) the content of which results from the implementation of a reinforcement learning and which makes it possible to identify, from the current state of the multi-access telecommunication system (s[t)]), the resource allocation plan to be selected, this plan being optimum to fulfil heterogeneous needs in terms of quality of service.

Abstract: A method for distributing the traffic load in a multi radio access technology heterogeneous network, the network including macrocells operating in a first sub-6 GHz band, and minicells that can operate in the sub-6 GHz band and in a millimeter band. The distribution of the traffic is carried out with an association strategy that calls upon, on the first hand, a first bias (QT) in order to favour the association with the base stations of the minicells/macrocells and a second bias (QR) in order to favour the use of the millimeter/sub-6 GHz band when the terminal is associated with a base station SBS of a minicell.

Abstract: The radio access system (1) for the communication network includes a radio transceiver (2), a device for connecting to an electrical grid (6), an electrical energy production device (4) and a battery (5) for storing electrical energy produced by said production device (4) and for electrically powering the radio transceiver (2). According to the invention, a control device (100) determines an operating strategy for the battery (5) by optimizing an objective function (O) that associates a cost with a possible operating strategy for the battery (5) during a period of determined duration T and while respecting at least one constraint for protecting the battery (5) against accelerated ageing, and manages the incoming and outgoing flows of electrical energy of the battery (5) depending on the determined operating strategy.

Abstract: A method associates terminals with cells in a network including at least one macro-cell and a plurality of small cells. According to this association method, each terminal performs, for each possible association, a power measurement on the radio link and deduces a quality indicator of that link therefrom. The subset of associations is next selected making it possible to respect the usage constraints of the different users. For each possible association of this subset, a metric characteristic of the overall capacity of the network is computed and an optimal association is determined maximizing this metric.

Abstract: The invention relates to a method for managing a network of a plurality of base stations of small cells, placed in a region of a macro-cell in which at least one terminal is found, each small cell base station being adapted for covering a small cell, the method being characterized in that a set A of at least one small cell covering said at least one terminal present in the region, is determined, and the smallest subset B of at least one small cell allowing coverage of said at least one terminal is selected from said set A, such that only said at least one small cell of the subset B will have to be active.