17945424. Automated Orienting of Customer Premises Equipment simplified abstract (AT&T Intellectual Property I, L.P.)

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Automated Orienting of Customer Premises Equipment

Organization Name

AT&T Intellectual Property I, L.P.

Inventor(s)

Yizhe Zhang of Austin TX (US)

Yupeng Jia of South Pasadena CA (US)

Automated Orienting of Customer Premises Equipment - A simplified explanation of the abstract

This abstract first appeared for US patent application 17945424 titled 'Automated Orienting of Customer Premises Equipment

Simplified Explanation

Automated orienting of customer premises equipment (CPE) is disclosed in this patent application. The orientation of a CPE can be automatically adjusted based on various factors such as the environment of the CPE, environmental conditions, etc. This adjustment can involve changing the roll, pitch, yaw, and skew of the whole CPE or a portion of it. The CPE can also perform exploratory orienting to update its mapping of the environment, enabling it to choose alternate orientations to satisfy rules related to its operation.

  • Automated orienting of customer premises equipment (CPE) based on environmental conditions and a model of the CPE's environment.
  • Adaptation of CPE orientation to change roll, pitch, yaw, and skew for improved performance.
  • Exploratory orienting by the CPE to update its mapping of the environment and choose alternate orientations.
  • Use of a learning component to predict preferred adjustments to orientation based on various inputs.

Potential Applications

The technology could be applied in the telecommunications industry for optimizing the performance of customer premises equipment. It could also be used in smart home devices to automatically adjust their orientation for better functionality.

Problems Solved

This technology solves the problem of manual adjustment of customer premises equipment, which can be time-consuming and inefficient. It also addresses the issue of suboptimal performance due to incorrect orientation of the equipment.

Benefits

The automated orienting of customer premises equipment improves efficiency, performance, and user experience. It allows for quick adaptation to changing environmental conditions and user preferences.

Potential Commercial Applications

Potential commercial applications of this technology include telecommunications companies, smart home device manufacturers, and any industry that relies on customer premises equipment for service delivery.

Possible Prior Art

One possible prior art could be related to automated orientation systems in robotics or satellite technology, where devices adjust their orientation based on external factors. However, the specific application to customer premises equipment in this patent may be novel.

Unanswered Questions

How does the learning component predict preferred adjustments to orientation?

The patent application mentions the use of a learning component to predict preferred adjustments to orientation, but it does not provide details on the specific algorithms or methodologies used for this prediction.

What are the specific rules related to operation that the CPE must satisfy with its orientation adjustments?

The patent application mentions that the CPE can choose alternate orientations to satisfy rules related to its operation, but it does not elaborate on what these rules entail or how they are determined.


Original Abstract Submitted

Automated orienting of customer premises equipment (CPE) is disclosed. An orientation of a CPE can be automatically adapted based on a model of an environment of the CPE, an environmental condition, etc. Adapting an orientation can change roll, pitch, yaw, and skew of a whole CPE, and/or a portion of the CPE. In embodiments, a CPE can perform exploratory orienting to update a mapping of the environment of the CPE. This can enable the CPE to rank, sort, order, etc., alternate orientations to satisfy one or more rules related to operation of the CPE. This can facilitate the CPE mitigating a hazard condition, altering a performance metric, accommodating a customer preference, etc. In embodiments, a learning component can be employed to predict a preferred adjustment to an orientation based on user input, a rule, historical condition information, contemporaneous condition information, etc.