Abstract:
Concepts and technologies disclosed herein are directed to user equipment (“UE”) categories for machine-to-machine (“M2M”) devices operating in an Internet of things (“IoT”) network and future emerging devices. According to one aspect, a network node can receive, from an M2M device, an M2M device category for the M2M device. The network node can determine an action to perform based upon the M2M device category. The network node can cause the action to be performed.
Abstract:
Dynamic grouping of cell site devices to network devices that include a group of baseband processing devices is facilitated. One method includes determining, by a device including a processor, respective load information for cell site devices of respective cell sites associated with a network; and determining, by the device, interference information associated with the cell site devices. The method also includes determining, by the device, configuration information of a switch device communicatively coupled between the cell site devices and network devices that include a group of baseband processing devices. The determining the configuration information is based on the respective load information of the cell site devices and the interference information associated with the cell site devices.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
Dynamic wireless network throughput adjustment is provided herein. A method can include determining, by a system comprising a processor, a sector of a communication network for which an amount of congestion present in the sector is greater than a congestion threshold; selecting, by the system from among respective network equipment operating in the sector, target network equipment for throughput adjustment based on equipment performance metrics respectively associated with the respective network equipment; and facilitating, by the system, adjusting a throughput of the target network equipment by an adjustment amount determined based on target equipment performance metrics, of the equipment performance metrics, associated with the target network equipment.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.