At&t Intellectual Property I, L.p.

Laurie Bigler

Ravi Raina

Henry Kafka

Gopalakrishnan Meempat

Huahui Wang

Wenjie Zhao

Tae Won Cho

Xiaoyu Wang

Rittwik Jana

Jin Wang

Zhengye Liu

Jie Chen

Weihua Ye

Varun Gupta

Rajarajan Sivaraj

Dhruv Gupta

Sichong Guan

Arun Jotshi

Kathleen S Meier-Hellstern

Phyllis Weiss

Michael Orth

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

Distribution of traffic to cells in a communication network can be controlled. A distribution management component (DMC) can determine overall device traffic throughput for cells of a sector that satisfy a defined traffic throughput criterion relating to a harmonic mean of the device traffic throughput for the cells to desirably enhance or maximize the harmonic mean of the overall device traffic throughput. Based on the overall device traffic throughput for the cells, the DMC can determine whether to adjust a characteristic associated with a cell of the cells to facilitate adjusting distribution of device traffic among the cells of the sector to achieve desirable load balancing of traffic by the sector and in the network. Load balancing can be achieved by controlling respective parameters with regard to communication devices that are in idle mode or connected mode to facilitate directing communication devices and associated traffic to desired cells.

Load balancing in wireless networks for improved user equipment throughput

Aspects of the subject disclosure may include, for example, collecting and storing data about a communication environment including one or more communication networks wherein respective communication networks of the one or more communication networks employ respective communication technologies for communication with remote user devices in the communication environment, providing traffic forecasts of communication traffic, creating importance layers for potential build locations for equipment of the one or more communication networks, identifying desirable build locations among the potential build locations of the one or more communication networks based on the traffic forecasts of communication traffic and the importance layers, receiving user input defining planning parameters for the communication environment and determining respective target goal values for respective build options for the one or more communication networks based on the planning parameters, the identified desirable build locations and the traffic forecasts. Other embodiments are disclosed.

Integrated mobility network planning

Concepts and technologies disclosed herein are directed to the optimization of over-the-air ('OTA') file distribution for connected cars based upon a heuristic scheduling algorithm. A schedule provided by the heuristic scheduling algorithm is designed to distribute OTA data flow to connected cars over the network (geographically) and over a scheduling time horizon (timely), and is capable of reducing the negative impact of OTA file updates on overall wireless network performance. This schedule is created based upon historical statistics associated with connected car driving patterns and simulations of connected car-specific OTA traffic over the network. By leveraging connected cars that connect to different cells at different times based upon driving patterns, the heuristic scheduling algorithm is effective in reducing OTA impact on the network.

Optimization of over-the-air file distribution for connected cars based upon a heuristic scheduling algorithm

Aspects of the subject disclosure may include, for example, a non-transitory machine-readable storage medium comprising executable instructions that, when executed by a processing system including a processor, perform operations comprising: identifying a first plurality of cells as a controlled group of cells; determining, for each cell of the controlled group of cells, an average number of allocated physical resource blocks; determining, for each cell of the controlled group of cells, a total number of physical resource blocks available to carry payload traffic; determining, for each cell of the controlled group of cells, a metric equal to: (a) the average number of allocated physical resource blocks of the cell divided by (b) the total number of physical resource blocks of the cell available to carry payload traffic; and performing a load balancing of the controlled group of cells based upon the metric. Other embodiments are disclosed.

Method and apparatus for adaptive load balancing in wireless networks

Growing community of inventors

Lafayette, CA, United States of America

Laurie Bigler