Juniper Networks

Techniques are described for management of one or more network devices of a network based on one or more operational constraints in an Automated Frequency Coordination (AFC) system. For example, a network management system (NMS) is configured to obtain location information of the one or more network devices and sends the location information of the one or more network devices to the AFC server. The AFC server may determine one or more operational constraints for the one or more network devices and sends the one or more operational constraints to the NMS, which in turn may determine one or more configuration settings for the one or more network devices based on the one or more operational constraints and one or more network parameters, and send the one or more configuration settings to the one or more network devices.

Techniques are disclosed for performing downloadable, automated tests for network connectivity by network devices. A network management system (NMS) sends a test for network connectivity to network devices and causes the network devices to perform the test. The network devices perform the test for network connectivity and send corresponding data generated from performance of the test to the NMS. The NMS analyzes the data from the network devices. If the NMS determines a particular network device failed the test, the NMS determines a root cause of the failure, selects an action to remediate the root cause, and performs the selected action. Such techniques described herein enable the performance of network connectivity tests by network devices on-demand, and without the network devices being pre-configured to perform such network connectivity tests.

Techniques are described for performing artificial intelligence (AI) processing of locally accessible data at a network access device at a network edge in coordination with a network management system (NMS) configured to manage a plurality of network access devices over the network. The NMS assigns one or more AI models to one or more network access devices. The NMS may synchronously or asynchronously initiate distribution of model parameters of the AI models to the assigned network access devices. A network access device accesses, from the NMS over the network, model parameters of an AI model assigned to the network access device. The network access device determines, using the AI model running on processing circuitry of the network access device, one or more inferences based on data locally accessible at the network access device, and sends an indication of the one or more inferences to the NMS over the network.

Techniques are described for multipath traffic engineering (MPTE). In an example, computer-readable storage media comprises instructions for causing one or more processors of a network node to: obtain data associating a first incoming link, a second incoming link, a share of outgoing bandwidth for a first outgoing link, and a share of outgoing bandwidth for a second outgoing link; and forward, based on the data, incoming network traffic received at the network node on the first incoming link and incoming network traffic received at the network node on the second incoming link via the first outgoing link according to the share of outgoing bandwidth for the first outgoing link and via the second outgoing link according to the share of outgoing bandwidth for the second outgoing link.

Techniques are disclosed for a network management system (NMS) that determines a non-WIFI channel assignment for an access point (AP). In an example, the NMS is configured to determine neighbor APs at a site based on scan radio data for a frequency band at the site. The NMS determines a non-WIFI channel to assign to a non-WIFI transceiver of the AP that does not interfere with operating channels for non-WIFI transceivers of one or more APs of the neighbor APs and that does not interfere with operating channels for WIFI radios of the AP and the neighbor APs that operate on the same frequency band as the non-WIFI transceiver of the AP. The NMS is further configured to send a message to the AP to cause the AP to operate the non-WIFI transceiver on the assigned non-WIFI channel.

In general, techniques are described for determining a location of a wireless device in a site based on a plurality of directional beams transmitted with a plurality of offset angles. For example, a network device comprises a plurality of directional antennas configured to transmit a plurality of directional beams, wherein each directional beam of the plurality of directional beams offset by one of a plurality of offset angles, wherein at least one directional beam of the plurality of directional beams is formed by one or more signals with a phase shift. The processing circuitry of the network device is configured to send, to a network management system, information associated with one or more directional beams of the plurality of directional beams that are received by a wireless device to determine a location of the wireless device in a site.

Techniques are disclosed for a network management system (NMS) that computes a channel score based on a normalized metric for a channel and assigns a channel to an access point (AP) based on the channel score). In one example, the NMS obtains data associated with at least one channel of a plurality of channels in a frequency band at a site, where the data includes a set of metrics. The NMS computes a normalized metric for each metrics of the set of metrics with respect to a threshold value representative of degraded performance of the at least one channel. The NMS computes a channel score based on a product of the normalized metrics. The NMS assigns a channel to at least one AP based on the channel score for the channel.

This disclosure describes techniques for managing multiple wireless networks providing overlapping coverage to user devices. In one example, this disclosure describes a computing system configured to collect network data associated with a first wireless network; collect network data associated with a second wireless network, wherein the first wireless network and the second wireless network have an overlapping coverage area, and wherein the first wireless network and the second wireless network are different wireless network types; identify, based on the network data associated with the first wireless network, a user device that is attached to the first wireless network and is in the overlapping coverage area, wherein the user device is also capable of attaching to the second wireless network; and predict, based on both the network data associated with the first wireless network and the network data associated with the second wireless network, a network condition impacting the user device.

A computing system comprising storage media and processing circuitry may perform the techniques. The processing circuitry may aggregate a plurality of performance metrics for a plurality of network entities of a network system into a metric indicative of a health of the plurality of network entities. The processing circuitry may, based at least in part on a determination that the aggregated metric indicative of the health of the plurality of network entities does not satisfy a threshold, identify one or more network entities of the plurality of network entities for which the corresponding performance metrics of the plurality of performance metrics contributed to the aggregated metric not satisfying the threshold. The processing circuitry may output a cause of fault associated with the identified one or more network entities.

Packets that experience longer delays (residence time) on a router are identified and used in determining whether or not to sample the packet. Information about sampled packets, along with information such as on router (or on router forwarding engine) residence time, normalized delay, and a reason(s) for the higher delay are then exported to an external collector device. This mechanism of reporting delayed packets helps with finding the root cause of latency service level agreement (SLA) breaches.