DISTRIBUTED PARAMETER MONITORING FOR WIRELESS DEPLOYMENTS

Using machine learning (ML) to make observations of network operations is faced with many constraints, including collection constraints, storage constraints, and processing constraints. Additionally, in many instances, data collected from a network may be unusable and will incur collection, storage, and processing costs with potentially limited return. Presented herein are techniques through which pre-filtering tasks can be distributed to wireless access points (APs) to highlight valuable metrics and learn from network deployments

WIRELESS LINK AGGREGATION TO PROVIDE AN EFFICIENT AND SMOOTH MULTI-PROTOCOL DATA LINK

When connected to a cellular (e.g., 5G) network a device can receive/transmit Internet Protocol (IP) traffic via the packet data protocol (PDP). When connected to a Wi-Fi network a device can receive/transmit IP traffic via the Institute of Electrical and Electronics Engineers (IEEE) 802.11 protocol. This proposal provides for combining the capabilities of both cellular and Wi-Fi via a Wireless Link Aggregation (WLA) technique that allows for seamless roaming, no IP address change and no gateway change for a mobile device that is switched between access links, and enhanced experiences for users

ACCESS POINT TRANSMISSION OPTIMIZATIONS USING MACHINE LEARNING BASED TRAFFIC CLASSIFICATION

Techniques are described herein for optimizing access point transmissions. According to these techniques, configuration, state, and tuning of an access point transmission scheduler are externalized to a network core (e.g., a wireless LAN controller (WLC) or Dynamic Network Access Control (DNAC)) and a machine-learning system is used to classify wireless clients based on traffic analysis. The described techniques permit the use of fine-tuned configurations for each access point station and these configurations can be shared across all access points in the case of roaming

ON-PATH DEPLOYMENT OF CONTAINERS FOR LOW-LATENCY HIGH-AVAILABILITY RELIABLE AND AVAILABLE WIRELESS (RAW) COMMUNICATION

In an industrial environment, a manufacturing plant is composed of, among other things, sensors, actuators, and controllers that form control loops. Such elements are often referred to as a programmable logic controller (PLC). Techniques are presented herein that allow manufacturing plants to achieve decreased latency and increased reliability by placing the PLCs in a sensor-controller-actuator system closer to each other while minimizing the deployment cost to the extent possible. This is achieved by deploying PLCs as moving containers in an access point (AP) for, as an example, wireless manufacturing plants. Aspects of the presented techniques dynamically deploy PLC applications and roam them in locations such that the number of hops between a sensor’s output, the control logic (e.g., a PLC), and an actuator’s input may be kept at a minimum to achieve the lowest latency and jitter and the maximum reliability. Further aspects of the presented techniques leverage elements of the Internet Engineering Task Force (IETF) Reliable and Available Wireless (RAW) initiative, a Path Computation Element (PCE), a Path Selection Engine (PSE), etc

ONBOARDING AND PROVISIONING AUTOMATION FOR MESH ACCESS POINTS

Mesh networks can be implemented in many different scenarios in which direct cabling of access points may not be practical or may not make financial sense. For example, in Internet of Things (IoT) deployments, access points may be located far from each other with very limited physical access. Presented herein are techniques to leverage hardware and software features available on mesh access points to avoid manual configuration in the field

SECURE WIRELESS CLIENT ONBOARDING AND SEGMENTATION

Techniques are described herein for preventing Media Access Control (MAC) address spoofing attacks based on the two-step onboarding process for open Service Set Identifiers (SSIDs) due to Virtual Local Area Network (VLAN) override after the Internet Protocol (IP) address is learned. These techniques leverage Opportunistic Wireless Encryption (OWE) and an access token to provide a secure channel between the wireless network and the client

Enhancing counting bloom filters through Huffman-coded multilayer structures

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AUTOMATED FREQUENCY COORDINATION (AFC) FOR OPEN PIT MINING

The techniques are described herein to facilitate the use of 6GHz frequencies in deployments, such as strip mines, where Access Point (AP) locations change, while still complying with Automated Frequency Coordination (AFC) requirements

MOVING/ROTATING ANTENNAS FOR WIRELESS ACCESS POINTS

Conventionally, the position and orientation of antennas for wireless access points depends on the position in which a wireless access point is oriented during installation and typically does not change unless the positioning of the wireless access point is changed. Thus, wireless antenna position/orientation typically remains static once an access point is installed. Techniques proposed herein introduce a sensor fusion approach for controlling the direction/orientation of wireless access point antennas in order to improve wireless communications for wireless networks