Back to results
US 12,519,664 B2Granted
5G system
OwnerBao Traninventor
Life of this patent
Estimating the term…
Abstract
A system includes a distributed ledger storing one or more smart contracts; one or more 5G small cells, each having one or more antennas mounted on a housing, each small cell sending packets of data trackable with the distributed ledger; and a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.
Claims20
A method for improving data connectivity, service quality or call performance in a wireless network, comprising:
- applying a learning machine to a data plane, a control plane and a management plane to make decisions about antenna settings, traffic routing, or system configuration, where the learning machine and the management plane configures, monitors, and provides management and configuration services for the wireless network;
- receiving a request for a network function associated with a user equipment (UE);
- selecting, based at least in part on utilization information and the request, at least one network function having a utilization level below a threshold;
- providing an identification of the selected network function to a session management function to establish a communication for the UE;
- selecting, based at least in part on utilization information, a further network function for continuing the communication;
- and
- configuring antenna combining information for the UE by grouping antennas into one or more antenna groups based on pilot signal correlation, assigning orthogonal sequences to the antenna groups, and determining a preferred antenna combination to reduce channel correlation or satisfy a communication requirement;
- and
- applying digital predistortion (DPD) to linearize outputs of a plurality of low-power power amplifiers integrated into an active antenna system, the DPD utilizing channel state information (CSI) feedback from the UE to reduce adjacent-channel leakage ratio.
6 more elements
A method for wireless network resource allocation, comprising:
- receiving, by a neural network, utilization information associated with a plurality of network functions, the utilization information including at least one of processing load, bandwidth usage, memory usage, session capacity, latency, or quality of service;
- receiving a request for a network function associated with a user equipment (UE), the request including at least one of a communication type, bandwidth requirement, quality of service level, or location information;
- selecting, by the neural network, at least one network function based at least in part on utilization information and the request, wherein the selecting includes comparing utilization information to a threshold value to identify available network functions;
- providing an identification of the selected network function to another network entity to establish a communication for the UE;
- and
- configuring, by the neural network, communication parameters associated with the UE, the configuring including grouping antennas into antenna groups based on pilot signal correlation, assigning orthogonal sequences to the antenna groups, and determining an antenna combination that minimizes correlation between channels or satisfies a communication requirement;
- and
- responding to real-time allocation demands by optimizing with the neural network the management of network resources.
5 more elements
A method for wireless connectivity, comprising:
- receiving, by a neural network of a 5G network, information associated with at least one of a data plane, a control plane, a management plane, or a user equipment;
- analyzing the information to determine one or more operational states or performance conditions of the network;
- selecting, by the neural network, at least one network operation based at least in part on the information, the operation including at least one of allocating a network function, configuring a data plane topology, adjusting control signaling parameters, or modifying management settings;
- configuring, by the neural network, communication parameters associated with user equipment by assigning one or more orthogonal sequences to one or more antennas with one or more pilot signals, and determining an antenna combination that minimizes correlation between channels or satisfies a communication requirement;
- and
- providing instructions to one or more network entities or a user equipment to implement the selected operation so as to improve at least one of reliability, performance, or security of the 5G network.
3 more elements
Dependencies are inferred from the claim text.