Juniper Networks, Inc.

Symbol Technologies, LLC

Motorola Solutions, Inc.

Jacob Thomas

Puneet Batta

Wenfeng Wang

Trevor Miranda

Jisheng Wang

Kush Shah

Sandeep Ramakrishnan

Rajendiran Subramani

Jeevan Kukkalli

V Sethuraman

Michael Grischy

Randall Wayne Frei

Robert J Friday

Sundaresan Sundaram

Xiaoying Wu

Nicolas Dade

Keh-Ming Luoh

Jason T Harris

Sujai Hajela

Abhiram Madhugiri Shamsundar

Sunalini Sankhavaram

Helge Szwerinski

Yedunandan Siddalingappa-Vitalapur

Wesley Purvis

Rajesh Vijayakumar

Puneet Butta

Jason D Hatashita

Anurag Verma

Sundaram Sundaresan

Yashwanth Venkata Krishna Chanamolu

May Zar Lin

Sanjoy Dey

Sudheer Matta

Techniques are described that detect areas with insufficient radio frequency (RF) coverage in a wireless network. A network management system (NMS) determines one or more service level expectation (SLE) metrics for each client device in a wireless network. The SLE metrics are aggregated to each access point (AP) in the wireless network, and each AP is assigned an AP score based on the aggregated SLE metrics. To identify potential coverage holes, the NMS groups APs having poor AP scores. If a root cause of the poor AP scores cannot be automatically resolved and if the poor AP scores persist for a predetermined period of time, the group of APs is determined to represent a true coverage hole. The NMS may generate a notification regarding recommended corrective actions to the customer and/or IT personnel.

Detection of insufficient RF coverage areas in a wireless network

Techniques are described by which a network management system (NMS) receives, from a plurality of access points (APs) configured to provide a wireless network, received signal strength indicator (RSSI) values. The NMS generates, based on the RSSI values, a graph of the plurality of APs, wherein the graph of the plurality of APs includes a plurality of clusters, wherein each cluster comprises a subset of the plurality of APs that are grouped based on strength of connectivity between the subset of the plurality of APs. The NMS generates, based on the graph, an upgrade plan to upgrade the plurality of APs, wherein the upgrade plan comprises a plurality of batches, wherein each batch includes a selection of at least one AP from each of one or more of the plurality of clusters. The NMS sends the upgrade plan to an orchestrator to execute the upgrade plan.

Automatic upgrade planning

An example system includes a plurality of AP devices configured to provide a wireless network at a site, the plurality of AP devices including a first AP device configured to determine a set of roaming candidates within the site for client devices connected to the first AP device, wherein the set of roaming candidates includes one or more AP devices of the plurality of AP selected according to a selection criteria; in response to establishing a connection with a client device, cache a key associated with the client device in the memory of the first AP device; generate a packet with the key associated with the client device, and a list of APs that includes one or more identifiers of the one or more AP devices within the set of roaming candidates for the first AP device; and transmit the packet to the plurality of AP devices at the site.

Selective access point key caching

The network management system (NMS) assesses behavior data such as Ethernet error, speed flapping, cold restart, and/or cloud disconnect collected from a respective one of access points (APs) or other wired client-side devices at an edge of a wired network, and determines whether features of the behavior data are indicative of a bad cable issue at a particular port of a particular network device of the wired network to which the respective AP is connected via a cable. The particular network device may be a third-party network device from which the NMS does not receive behavior data. In the case of a bad cable issue being detected, the NMS outputs a bad cable notification including identification information of the particular port and the particular network device. The NMS enables client-side only, behavior-based bad cable detection at network devices that avoids network traffic disruptions caused by conventional cable tests.

Physical layer issue detection based on client-side behavior assessments

A network management system (NMS) is described that provides a granular troubleshooting workflow at an application session level using an application session-specific topology from a client device to a cloud-based application server. During an application session of a cloud-based application, a client device running the application exchanges data through one or more access point (AP) devices, one or more switches at a wired network edge, and one or more network nodes, e.g., switches, routers, and/or gateway devices, to reach a cloud-based application server. For a particular application session, the NMS generates a topology based on network data received from a subset of network devices, e.g., client devices, AP devices, switches, routers, and/or gateways, that were involved in the particular application session over a duration of the particular application session. In this way, the NMS enables backward-looking troubleshooting of the particular application session.

Application session-specific network topology generation for troubleshooting the application session

Disclosed are methods and systems for improved wireless terminal roaming. In some embodiments, a management module determines access point density metrics for a plurality of centrally managed access points of a communications site. The density metric considers an average RSSI of access point signals received by other access points of the site, and each access point's contribution to the average. A determination of whether a particular wireless terminal roams is based on the density metrics of the source and target access point, as well as statistics relating to a current capacity of each of the access points. The disclosed embodiments may determine that a wireless terminal should transition/roam away from an access point even when that access point's RSSI value at the wireless terminal is above a threshold that would cause traditional methods to inhibit roaming.

Wireless terminal roaming

Apparatus and method for coverage hole detection in a wireless local area network (WLAN) using a mobile communication device. The method includes a first step of providing a plurality of access points distributed within the WLAN and at least one mobile communication device operable within the WLAN. A next step includes downloading triggers for respective coverage measurement conditions to the at least one associated mobile communication device from an associated access point. A next step includes detecting a coverage measurement condition by the at least one mobile communication device that activates one of the triggers, whereupon a next step includes sending a coverage measurement indicating the triggered condition from the at least one mobile communication device to an associated access point, which forwards a coverage incident report to a Central Report Manager.

Wireless local area network coverage hole detection using mobile communication devices

A technique for the detection of an unauthorized wireless communication device includes monitoring of Bluetooth&#xae; communications activity by a Bluetooth&#xae; capable communication device. Any monitored communication activity is analyzed against parameters that are predefined to detect suspected illegal activity. If illegal activity is suspected by the analysis, an alert is generated for a system administrator. The predefined parameters associate illegal activity with; data that includes credit card numbers and expiration dates, credit card transaction logging information, non-discoverable devices, activity after store hours, exceedingly long activity, etc.

Detection of an unauthorized wireless communication device

A technique for locating a wireless communication attack includes monitoring of Bluetooth&#xae; communications activity by a Bluetooth&#xae; capable communication device. Any monitored communication activity is analyzed against parameters that are predefined to detect a communication attempt by a suspected criminal device to an illicit device. If the communication attempt by the suspected criminal device is detected by the analysis, a communication to the criminal device is controlled so as to delay completion of the communication to the criminal device in order to provide time to locate the criminal device.

Locating a wireless communication attack

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Santa Clara, CA, United States of America

Jacob Thomas