At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Weihua Ye

Ernest Tsui

Zhi Cui

Paul Maxwell

Milap V Majmundar

Jin Wang

Zhengye Liu

Dhruv Gupta

Guanying Ru

Arunabha Ghosh

Rittwik Jana

Yung Shirley Choi-Grogan

Varun Gupta

Michael Taylor

Laurie Bigler

Hyun Ok Lee

James Hollister

Rajarajan Sivaraj

Young Suh

Brian Gavin

Slawomir Mikolaj Stawiarski

Yongdong Zhao

Ravi Raina

Gopalakrishnan Meempat

Huahui Wang

Xiaojun Tang

Huijing Yang

Zuxian Guo

Dongho Kim

Senthil Raj Dhandapani

Kemal Kara

Ke Xu

Rennie Archibald

Embodiments for port reconfiguration for passive intermodulation interference mitigation are presented herein. A base station device comprises a signal processing component comprising a passive intermodulation interference component and an antenna configuration component. The passive intermodulation interference component determines passive intermodulation interference corresponding to uplink signals that have been received, via a configurable cellular antenna array of the base station device, from respective wireless devices of a group of wireless devices that have been communicatively coupled to the base station device. The antenna configuration component selects a defined configuration of a group of cellular antenna ports of the configurable cellular antenna array to facilitate a reduction of the passive intermodulation interference corresponding to the uplink signals.

Port reconfiguration for passive intermodulation interference mitigation

A system includes a base band unit pooling component that determines, via a base band unit pool of base station devices, respective uplink channel estimates of an uplink channel wirelessly coupling, using frequency division duplexing via respective modular antenna elements, a user equipment to the base band unit pool. A downlink channel estimation component of the system derives, based on the respective uplink channel estimates, a downlink channel estimate of a downlink channel wirelessly coupling, using the frequency division duplexing via a portion of the respective modular antenna elements corresponding to a base station device of the base band unit pool, the base station device to the user equipment. In turn, the system generates, using the downlink channel estimate, a group of downlink sector beams to be transmitted to the user equipment using the downlink channel via the portion of the respective modular antenna elements.

Generating downlink sector beams based on uplink channel estimates utilizing a base band unit pool for modular massive multiple-input multiple-output arrays

Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

Method and system for orthogonal pilot signaling

A processing system may apply a binary classifier to detect whether a first data pattern of a first data source associated with a communication network performance indicator is consistent with prior data patterns of the first data source that are labeled as correct data patterns, determine, via the binary classifier, that the first data pattern is not consistent, apply a clustering model to a first input data set comprising the first data pattern and invalid data patterns of the first data source to obtain a first plurality of clusters, verify that the first data pattern is an invalid data pattern when the first plurality of clusters is the same as a second plurality of clusters generated by applying the clustering model to a second input data set comprising the invalid data patterns, and replace the first data source with a replacement data source as an active data source in response.

Communication network data fault detection and mitigation

The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.

Latency prediction and guidance in wireless communication systems

The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Adaptive automated load balancing for mobility networks including fifth generation networks and beyond

A more efficient network can be achieved using a network-based controller to configure routing tables to route data traffic to and from transmission points. Dynamic partitioning of network resources between the transmission points and a backhaul can be performed in conjunction with a resource scheduler of a network-based controller. The scheduler can relay scheduling metrics or benefit metrics from the network-based controller to the transmission points. Backhaul route optimization can also be used to select relay transmission points based upon conditions being determined to be satisfied.

Facilitation of network resource routing and resource optimization

The described technology is generally directed towards jointly optimizing coverage, capacity, and layer balance in a wireless communications network while maintaining cell edge use device performance constraints. Aspects comprise monitoring edge user devices for performance information, and modifying the network based on the performance information, including jointly optimizing by changing antenna parameter data, layer balancing, handover biasing per cell neighbor pair, modifying scheduling priorities, and optimizing sector face harmonic throughput. Balancing uplink and downlink coverages are considered in the joint optimization. Further, interference is detected, predicted (as needed) and mitigated.

Unified self-optimizing network to increase cell edge performance

Aspects of the subject disclosure may include, for example, a system that provides for obtaining, by a server comprising a processor, network parameter data from an eNodeB of a wireless network. The server can determine a predicted bandwidth for a group of end user devices in a coverage area of the eNodeB according to the network parameter data. The server can receive, from an end user device of the group of end user devices, a request for the predicted bandwidth. The server can provide the predicted bandwidth to the end user device. The providing of the predicted bandwidth enables the end user device to provide a video chunk request to a content server that is based on a selected chunk delivery schedule and facilitates streaming of video content to the end user device from the content server. Other embodiments are disclosed.

Apparatus and method of video streaming

A passive intermodulation detection system is provided to remotely identify passive intermodulation at a base station site and diagnose the type of intermodulation and location of the non-linearity that is the source of the passive intermodulation. A passive intermodulation cancelation system can generate an equivalent signal to a received interference signal and use the equivalent signal to generate an error signal. The error signal can then be used to reinforce a learning system and converge on a steady state of the interference signal to cancel other interference signals.

Facilitation of passive intermodulation cancelation via machine learning

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Bartlett, IL, United States of America

Weihua Ye