Commissariat &#xc0; L'&#xc9;nergie Atomique Et Aux &#xc9;nergies Alternatives

Commissariat a L'energie Atomique

Institut Mines-telecom

Antonio De Domenico

Emilio Calvanese Strinati

Gourab Ghatak

Benoît Denis

Ghina Dandachi

Remun Koirala

Benoît Miscopein

Vincent Heiries

Dimitri Ktenas

Marceau Coupechoux

Mohamed Sana

Rohit Gupta

Jessica Oueis

Ioan-Sorin Comsa

Mouhcine Mendil

Dimitri KTÉNAS

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:

Method for controlling the admission of slices into a virtualized telecommunication network and the congestion likely to be generated between services instantiated on said slices

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:

Method for optimizing the quality of network resources and the number of services likely to use said resources

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.

Method for associating user equipment in a cellular network via multi-agent reinforcement learning

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.

Joint beam selection and resource partitioning in a mm-wave network

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.

Method for dynamic selection of communication resources in a heterogeneous type cellular network

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.

Iterative beam training method for accessing a mm-wave network

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.

Method for allocating transmission resources using reinforcement learning

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 (Q) in order to favour the association with the base stations of the minicells/macrocells and a second bias (Q) 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.

Method for distributing a load in a multi radio access technology heterogeneous network

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

Process for controlling electrical energy fluxes in a system for radio access to a communication network, and associated control device

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.

Dynamic management of small cells for optimizing the energy consumption of a network

A method of allocating resources in a cellular radio communication network including user equipments and a cluster composed of local access points to the network covering a microcell. For each local access point, the presence of user equipments in a coverage zone of the microcell associated with the local access point is determined. A local coverage message specifying equipments determined as present in the microcell coverage zone is generated. A global coverage message by aggregation of the local coverage message of each local access point in the cluster is generated. At least one operating parameter of a local access point in the cluster is modified as a function of the global coverage message. For each local access point in the cluster, an activity state of the user equipment is determined and a field in the local coverage message is entered accordingly with data representing the activity of the equipment.

Method for modifying the state of local access points in a cellular network

The invention concerns a method for managing a network of a plurality of small cell base stations arranged in a macro-cell and linked to a base station of the macro-cell, each small cell base station being adapted to cover a small cell of the macro-cell and to be linked via radio to at least one mobile terminal present in the small cell.

Dynamic management of small cells for traffic-related optimization of the energy consumption of a network

A cooperative communications system comprising a source terminal, at least one relay terminal and a destination terminal. The system also comprises a distributed turbocoder over the source terminal and at least the relay terminal. The first part of the turbocoder residing on the source terminal and/or the second part of the turbocoder residing on the relay terminal is(are) equipped with a frequency scheduler (FS,FS) allocating the deeper-fading carriers to the systematic information data and the weaker-fading carriers to the parity data.

Growing community of inventors

Grenoble, France

Antonio De Domenico