Abstract: Spectrum management may be provided. A first Radio Frequency (RF) event metric may be received from a first service end point. The first RF event metric may comprise a time a first event occurred. A second RF event metric may be received from a second service end point. The second RF event metric may comprise a time a second event occurred. Then it may be determined that the time the first event occurred and the time the second event occurred are substantially congruent. Next, in response to determining that the time the first event occurred and the time the second event occurred are substantially congruent, the first service end point and the second service end point may be grouped in a first RF group thereby allowing frequency re-use across similar RF groups. Then different channels may be assigned to the first service end point and the second service end point.

Abstract: A network system comprises a plurality of access points (APs) and a distributed cache. The distributed cache is formed using memory in the plurality of APs. The plurality of APs are configured to measure telemetry data and store the telemetry data in the distributed cache. One of the plurality of APs is assigned as a controller AP configured to assign, based on the telemetry data stored in the distributed cache, multiple APs of the plurality of APs to different roles to analyze the plurality of APs and update resource configurations of the plurality of APs.

Abstract: Techniques are disclosed for determining, at a first wireless access point (AP), one or more radio resource management (RRM) input parameters. The one or more RRM input parameters are determined based on a line of sight (LOS) estimate between two wireless stations (STAs). A plurality of RRM values are generated based on the one or more RRM input parameters. A wireless connection is established between the first AP and a first STA using the RRM values.

Abstract: Systems and methods herein can analyze a bandwidth restriction in a communication stream of an Access Point (AP). Then, based on the bandwidth restriction, the AP can determine a lower amount of wireless bandwidth to provide to station wireless communicating to the AP. The AP can then modify a bandwidth allocation assigned to the station based on the lower amount of wireless bandwidth.

Abstract: A method for access traffic steering, switching, and splitting (ATSSS) in a network and a network entity for performing the method are disclosed. When the execution of the ATSSS from the first access network to the second access network is determined, a first message requesting the SMF to confirm the connection state of the terminals for the first access network and the second access network may be transmitted to AMF. The SMF may receive information on the connection state of the terminal from the AMF.

Abstract: Spectrum management for coexistence of heterogeneous wireless technologies may be provided. A first Radio Frequency (RF) event metric may be received from a first service end point. The first RF event metric may comprise a time a first event occurred. A second RF event metric may be received from a second service end point. The second RF event metric may comprise a time a second event occurred. Then it may be determined that the time the first event occurred and the time the second event occurred are substantially congruent. Next, in response to determining that the time the first event occurred and the time the second event occurred are substantially congruent, the first service end point and the second service end point may be grouped in a first RF group thereby allowing frequency re-use across similar RF groups. Then different channels may be assigned to the first service end point and the second service end point.

Abstract: In dense Wireless Local Area Network (WLAN) deployments, Access Points (APs) in other Extended Service Sets (ESSs) can be hidden (a first AP does not receive signals from a third AP). However, these APs in other ESSs can still interfere with communications between the third AP and the devices communicating with the first AP. To improve service to that device in that situation, the first AP needs information about the third AP in the first AP's decision making processes. In these situations, a second AP, in contact with the third AP, can share information about the third AP with the first AP so that the first AP can avoid colliding with the third AP.

Abstract: Embodiments herein describe a group of APs that uses a shared radar cache to select a new channel after vacating a current channel when performing dynamic frequency selection (DFS). The group of APs can set aside memory to store status information about the DFS channels in the frequency band. For example, when one AP detects a radar event (and has to vacate a DFS channel), the AP updates an entry for that channel in the shared radar cache. The APs can also query the cache to determine a new channel after vacating its current channel. That is, the shared radar cache may store the most recent radar events occurring in a channel. In this manner, the APs can select a new channel that has little or no recent radar events, which reduces the likelihood the AP will have to vacate the new channel.

Abstract: Techniques for a machine learning event-driven radio resource management (ED-RRM) module which provides analysis of interference events in a network system are described. The network system reacts to the detection of interference in a network system and uses multiple input parameters to determine a type of device creating the interference, a predicted duration of the interference, and an ED-RRM decision on whether to activate the radio resource management (RRM) processes to alter the network transmission or block the RRM processes to conserve system resources for the network system.

Abstract: In one embodiment, a supervisory device for a wireless network classifies each client of a set of access points in the wireless network as either an Internet of Things (IoT) device or a non-IoT device. The supervisory device selects, for each of the access points in the set, a channel width based on the classifications of its clients. The supervisory device assigns, for each of the access points in the set, one or more wireless channels for use by that access point, based on the selected channel width for that access point. The supervisory device instructs the access points in the set to use their assigned channels to communicate with their clients.

Abstract: Enhanced Radio Frequency (RF) management using active sensors may be provided. First, a plurality of user devices may be determined that a first active sensor is to act as an anchor for within a first portion of a Radio Frequency (RF) environment in which the plurality of user devices and the first active sensor are disposed. Next, RF environment data corresponding to the first portion of the RF environment in which the plurality of user devices are disposed may be collected. A report corresponding to the first portion of the RF environment in which the plurality of user devices are disposed may then be created based on the collected RF environment data. The report may be configured to aid in evaluating a link between at least one of the plurality of user devices and a first Access Point (AP). The created report may be provided to the first AP.

Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location over a time period. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends over the time period. The device determines a path loss between at least the first and second access points based on the correlation bias factor and data associated with neighbor messages sent between the first and second access points.

Abstract: The present invention relates to a pharmaceutical composition for preventing or treating lupus, containing a compound represented by a formula I, an optical isomer thereof or a pharmaceutically acceptable salt thereof as an effective component, as well as a treatment method using the compound, and use of the compound in the manufacture of a medicament for treating lupus. The pharmaceutical composition according to the present invention shows an excellent effect of preventing or treating lupus.

Abstract: In one embodiment, a device assigns a first radio of an access point in a wireless network to a client serving role and a second radio of the access point to a channel monitoring role. The device associates a wireless client with the first radio. The device determines that the wireless client is a low bandwidth client. The device switches the wireless client from the first radio to the second radio of the access point assigned to the channel monitoring role.

Abstract: Enhanced Radio Frequency (RF) management using active sensors may be provided. First, a plurality of user devices may be determined that a first active sensor is to act as an anchor for within a first portion of a Radio Frequency (RF) environment in which the plurality of user devices and the first active sensor are disposed. Next, RF environment data corresponding to the first portion of the RF environment in which the plurality of user devices are disposed may be collected. A report corresponding to the first portion of the RF environment in which the plurality of user devices are disposed may then be created based on the collected RF environment data. The report may be configured to aid in evaluating a link between at least one of the plurality of user devices and a first Access Point (AP). The created report may be provided to the first AP.

Abstract: Techniques for a machine learning event-driven radio resource management (ED-RRM) module which provides analysis of interference events in a network system are described. The network system reacts to the detection of interference in a network system and uses multiple input parameters to determine a type of device creating the interference, a predicted duration of the interference, and an ED-RRM decision on whether to activate the radio resource management (RRM) processes to alter the network transmission or block the RRM processes to conserve system resources for the network system.

Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends. The device determines a path loss between at least the first and second access points based on the correlation bias factor and data associated with neighbor messages sent between the first and second access points.

Abstract: Techniques for dynamic RF site configuration are provided. Historical association data is collected from a plurality of access points in a physical environment, and a machine learning model is trained to predict future association events, based on the historical association data. Current association data is then collected from the plurality of access points, and at least one predicted association event is generated by processing the current association data using the trained machine learning model. The plurality of access points is allocated to a plurality of radio frequency (RF) sites based on the at least one predicted association event. Finally, at least one of the plurality of RF sites is configured based on the predicted association event.

Abstract: In one embodiment, a service receives radar data regarding usage of one or more wireless channels by a radar. The service populates a database of radar features with the received radar data. The service trains, using the database of radar features, a machine learning-based model to predict channel usages by the radar. The service causes a wireless access point to change to a different wireless channel, based on the predicted channel usages by the radar.

Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends. The device determines a path loss between at least the first and second access points based on the correlation bias factor and data associated with neighbor messages sent between the first and second access points.