Patent classifications
H04W16/18
SYSTEMS AND METHODS FOR NETWORK BASED GEOGRAPHIC ANCHOR SELECTION
A method may include identifying, in a network, a location of a Fifth Generation (5G) node and determining, based on the location of the 5G node and capabilities associated with the 5G node, a number of areas around the 5G node, wherein each area corresponds to a bin. The method may also include identifying, in at least some of the of bins, candidate anchor nodes for the 5G node and ranking the candidate anchor nodes based on parameters associated with the candidate anchor nodes. The method may further include selecting, for the 5G node, an anchor node from the candidate anchor nodes based on the ranking.
Communication-performance characterization via augmented reality
An electronic device that assesses communication performance is described. During operation, the electronic device receives information specifying a location in an environment. For example, the information may correspond to user-interface activity associated with a user interface. Notably, the user interface may include an augmented reality and the user-interface activity may include defining the location, such as by dropping a pin in the augmented reality. Then, the electronic device provides the information to an access point and/or a controller of the access point, where the location is within communication range of the access point. Next, the electronic device receives, from the access point and/or the controller, measurements of one or more communication performance metrics at or proximate to the location during a time interval. Moreover, the electronic device provides a graphical representation of the communication performance at or proximate to the location based at least in part on the measurements.
Communication-performance characterization via augmented reality
An electronic device that assesses communication performance is described. During operation, the electronic device receives information specifying a location in an environment. For example, the information may correspond to user-interface activity associated with a user interface. Notably, the user interface may include an augmented reality and the user-interface activity may include defining the location, such as by dropping a pin in the augmented reality. Then, the electronic device provides the information to an access point and/or a controller of the access point, where the location is within communication range of the access point. Next, the electronic device receives, from the access point and/or the controller, measurements of one or more communication performance metrics at or proximate to the location during a time interval. Moreover, the electronic device provides a graphical representation of the communication performance at or proximate to the location based at least in part on the measurements.
Self-configuring wireless networks
The present disclosure pertains to a self-configuring network comprising one or more nodes each configured to provide wireless coverage to one or more transceivers. Some embodiments may: obtain a wireless propagation model, including environmental data; determine, via a computing device of the network, a set of optimal operating parameters using the obtained model and the environmental data; and configure, via the computing device, at least one of the one or more nodes with the set of optimal operating parameters. As a result, overall system performance on the larger macro scale may be maximized. That is, improving performance of only one or a few devices, on a micro-scale, may not be sufficient, as this may be achieved at the expense of harming performance of other devices.
Self-configuring wireless networks
The present disclosure pertains to a self-configuring network comprising one or more nodes each configured to provide wireless coverage to one or more transceivers. Some embodiments may: obtain a wireless propagation model, including environmental data; determine, via a computing device of the network, a set of optimal operating parameters using the obtained model and the environmental data; and configure, via the computing device, at least one of the one or more nodes with the set of optimal operating parameters. As a result, overall system performance on the larger macro scale may be maximized. That is, improving performance of only one or a few devices, on a micro-scale, may not be sufficient, as this may be achieved at the expense of harming performance of other devices.
TRANSFER LEARNING OF NETWORK TRAFFIC PREDICTION MODEL AMONG CELLULAR BASE STATIONS
Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.
TRANSFER LEARNING OF NETWORK TRAFFIC PREDICTION MODEL AMONG CELLULAR BASE STATIONS
Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.
METHOD OF DETERMINING LOCATION FOR INSTALLING MOVEABLE BASE STATION AND DETERMINING ACCESS-POINT BASE STATION, AND INFORMATION PROCESSING APPARATUS
A determination method of determining an installation position of a movable base station and a connection destination base station, executed by an information processing device including a memory and a processor, includes: determining a mesh in which the movable base station can be installed, and a base station to which the movable base station can be connected in the mesh, based on a reception strength of a radio signal from each of one or more base stations in each of one or more meshes.
METHOD OF DETERMINING LOCATION FOR INSTALLING MOVEABLE BASE STATION AND DETERMINING ACCESS-POINT BASE STATION, AND INFORMATION PROCESSING APPARATUS
A determination method of determining an installation position of a movable base station and a connection destination base station, executed by an information processing device including a memory and a processor, includes: determining a mesh in which the movable base station can be installed, and a base station to which the movable base station can be connected in the mesh, based on a reception strength of a radio signal from each of one or more base stations in each of one or more meshes.
RADIO WAVE MAP PROVIDING DEVICE, RADIO WAVE MAP PROVIDING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING RADIO WAVE MAP PROVIDING PROGRAM
By a radio wave map providing device, a radio wave map providing device, or a non-transitory computer readable medium storing a radio wave map providing program, a radio wave map is stored, a radio wave map request is received; an information amount of reference communication quality information equal to or greater than request communication quality information is compared with an information amount of reference communication quality information equal to or less than the request communication quality information, and a radio wave map reply is generated based on the reference communication quality information having a smaller information amount and reference position information, and transmitted.