Spectrum access optimization including for 5G or other next generation user equipment
AssigneeAT&T Mobility II LLC
InventorThomas J. Routt
Life of this patent
Estimating the term…
Abstract
The disclosed technology is directed towards a fifth generation (5G) spectrum access engine that operates to achieve 5G spectrum optimization. The 5G spectrum access engine provides optimized spectrum access in low-bands, mid-bands, and high-bands based on energy detection algorithms, data analytics, and/or a deep learning architecture. The 5G spectrum access engine can reallocate spectrum to user equipments, including to allocate Sub-6 frequencies to a user equipment when, based on energy sensing, the user equipment is experiencing poor signal quality with millimeter wave communications.
Claims19
A system, comprising:
- a processor;
- and
- a memory that stores executable instructions which, when executed by the processor of a spectrum access engine associated with a communications network, facilitate performance of operations, wherein the spectrum access engine is communicatively coupled to a spectrum access engine appliance of an enterprise network to receive data analytics information associated with the communications network, and the operations comprise:
- obtaining energy detection data corresponding to a sensed signal strength of a user equipment communicating via a channel allocated in a first portion of network spectrum of the communications network;
- determining that the sensed signal strength is below a defined threshold value;
- in response to the determining, allocating, to the user equipment, a frequency channel in a second portion of the network spectrum;
- and
- transferring the user equipment to communicate via the frequency channel in the second portion of the network spectrum.
A system, comprising:
- a processor;
- and
- a memory that stores executable instructions which, when executed by the processor of a spectrum access engine associated with a communications network, facilitate performance of operations, wherein the spectrum access engine interfaces with a self-optimizing network and a software-defined network of the communications network based on network function virtualization, and the operations comprise:
- obtaining energy detection data corresponding to a sensed signal strength of a user equipment communicating via a channel allocated in a first portion of network spectrum;
- determining that the sensed signal strength is below a defined threshold value;
- in response to the determining, allocating, to the user equipment, a frequency channel in a second portion of the network spectrum;
- transferring the user equipment to communicate via the frequency channel in the second portion of the network spectrum;
- and
- adjusting network operations of the communications network via the self-optimizing network and the software-defined network based on changing network conditions of the communications network.
A system, comprising:
- a processor;
- and
- a memory that stores executable instructions which, when executed by the processor of a spectrum access engine associated with a communications network, facilitate performance of operations, wherein the spectrum access engine is coupled to a data analytics engine and a recommendation engine, and the operations comprise:
- obtaining energy detection data corresponding to a sensed signal strength of a user equipment communicating via a channel allocated in a first portion of network spectrum;
- determining that the sensed signal strength is below a defined threshold value;
- in response to the determining, allocating, to the user equipment, a frequency channel in a second portion of the network spectrum;
- transferring the user equipment to communicate via the frequency channel in the second portion of the network spectrum;
- and
- generating 5G spectrum access and allocation requests based on current in-field spectrum access requests, and information from the data analytics engine and the recommendation engine based on historical fifth generation (5G) spectrum usage data.
Dependencies are inferred from the claim text.