Patent classifications
H04W16/22
Systems and Methods for Proxying Real Traffic for Simulation
Methods, systems, and non-transitory computer readable media for validating a simulated component of a communication network using real traffic. More particularly, a simulator instantiates a simulation environment that includes a base station module, a user equipment (UE) module, and a simulated communication link therebetween. Real traffic generated by a non-simulated UE is sent to a proxy that routes the traffic to the UE module. As a result, test software instated in the simulation environment can be validated using traffic generated by a non-simulated UE.
Electronic device, wireless communication method and computer readable medium
The disclosure relates to an electronic device for wireless communication, a wireless communication method and a computer readable medium. According to an embodiment, an electronic device for wireless communication includes a processing circuitry. The processing circuitry is configured to acquire a parameter related to a behavior characteristic of a mobile access point. The processing circuitry is further configure to determine a spectrum allocation manner for the mobile access point based on the parameter.
Electronic device, wireless communication method and computer readable medium
The disclosure relates to an electronic device for wireless communication, a wireless communication method and a computer readable medium. According to an embodiment, an electronic device for wireless communication includes a processing circuitry. The processing circuitry is configured to acquire a parameter related to a behavior characteristic of a mobile access point. The processing circuitry is further configure to determine a spectrum allocation manner for the mobile access point based on the parameter.
Systems and methods for improved quality assurance
A method for quality assurance management of cellular site comprising receiving a user selection of a selected cellular site of a plurality of cellular sites. Based on the user selection of the selected cellular site, the method include retrieving site parameters and selectively displaying the site parameters via a GUI. The method includes receiving photographs of the selected cellular site, the photographs captured by the user computing device. The method includes transmitting the photographs to the site database. The method includes providing site data fields for receiving cellular site data via the GUI, and receiving, via the one or more site data fields, user entries of cellular site data associated with the selected cellular site. The method includes transmitting the user entries of cellular site data to the site database.
Systems and methods for improved quality assurance
A method for quality assurance management of cellular site comprising receiving a user selection of a selected cellular site of a plurality of cellular sites. Based on the user selection of the selected cellular site, the method include retrieving site parameters and selectively displaying the site parameters via a GUI. The method includes receiving photographs of the selected cellular site, the photographs captured by the user computing device. The method includes transmitting the photographs to the site database. The method includes providing site data fields for receiving cellular site data via the GUI, and receiving, via the one or more site data fields, user entries of cellular site data associated with the selected cellular site. The method includes transmitting the user entries of cellular site data to the site database.
METHODS AND SYSTEMS FOR DATA-DRIVEN ROLL-OUT PLANNING OPTIMIZATION
Methods and systems are provided for data-driven network roll-out planning. A network that includes a plurality of cells may be managed, with the managing includes obtaining network data associated with the network; analyzing the network data, with the analyzing including analyzing throughput of users on a sector-by-sector basis in the network; applying, based on the analyzing of the network data, a growth prediction for the network; and optimizing, based on the applying of the growth prediction, a network roll-out plan for use in the network.
METHODS AND SYSTEMS FOR DATA-DRIVEN ROLL-OUT PLANNING OPTIMIZATION
Methods and systems are provided for data-driven network roll-out planning. A network that includes a plurality of cells may be managed, with the managing includes obtaining network data associated with the network; analyzing the network data, with the analyzing including analyzing throughput of users on a sector-by-sector basis in the network; applying, based on the analyzing of the network data, a growth prediction for the network; and optimizing, based on the applying of the growth prediction, a network roll-out plan for use in the network.
RADIO MAPPING ARCHITECTURE FOR APPLYING MACHINE LEARNING TECHNIQUES TO WIRELESS RADIO ACCESS NETWORKS
A radio mapping architecture for applying machine learning techniques to mobile wireless radio access networks, including a base station, a user equipment (UE), and a network is provided. The radio mapping architecture includes a spectrum monitoring unit and a server and utilizes the UE. The server includes a radio mapping database and a Machine Learning module. The UE or the spectrum monitoring unit captures Radio parameters to derive an input schema for the radio mapping database. The spectrum monitoring unit extracts the Radio parameters that correspond to the base station and the UE and updates them in the radio mapping database periodically. The input schema for the radio mapping database is updated with the Radio parameters sensed by the spectrum monitoring unit and the UE.
RADIO MAPPING ARCHITECTURE FOR APPLYING MACHINE LEARNING TECHNIQUES TO WIRELESS RADIO ACCESS NETWORKS
A radio mapping architecture for applying machine learning techniques to mobile wireless radio access networks, including a base station, a user equipment (UE), and a network is provided. The radio mapping architecture includes a spectrum monitoring unit and a server and utilizes the UE. The server includes a radio mapping database and a Machine Learning module. The UE or the spectrum monitoring unit captures Radio parameters to derive an input schema for the radio mapping database. The spectrum monitoring unit extracts the Radio parameters that correspond to the base station and the UE and updates them in the radio mapping database periodically. The input schema for the radio mapping database is updated with the Radio parameters sensed by the spectrum monitoring unit and the UE.
MACHINE LEARNING FOR ORTHOGONAL FREQUENCY-DIVISION MULTIPLEXING BASED COMMUNICATION
Disclosed is a method comprising providing a first resource grid as input to a first machine learning algorithm, obtaining a second resource grid as output from the first machine learning algorithm, and transmitting a signal comprising the second resource grid by using orthogonal frequency-division multiplexing modulation.