AP33 Access Point Datasheet

For IT and NOC Teams

• Predictable and Measurable Wi-Fi
• Service-Level Expectation (SLE) Support
• WxLAN Policy Fabric for Role-Based Access
• Customizable Guest Wi-Fi Portal
• Radio Resource Management (RRM)

For IT Helpdesk Teams

• AI-Powered Virtual Network Assistant
• Natural Language Processing Conversational Interface
• Anomaly Detection
• Client SLE Visibility and Enforcement
• Data Science-Driven Root Cause Analysis

For Digital Experience Teams

• Accurate (1-3m) Turn-by-Turn Navigation
• Sensor Fusion with Dead Reckoning
• Unsupervised Machine Learning
• Virtual Beacons with Custom Notifications
• Mobile SDK for iOS and Android

For Process and Resource Improvement Teams

• Identification of Assets by Name and View Location
• Zonal/Room Accuracy for Third-Party Tags
• Historical Analytics for Asset Tags
• Telemetry for Asset Tags (temperature, motion, and other data)
• APIs for Viewing Assets and Analytics

For Network Teams

• Baseline Analytics Features Come Included with Wi-Fi Assurance, Mobile Engagement, and Asset Visibility Subscriptions
• End-to-End Network Visibility
• Orchestrated Networking and Application Performance Queries
• Simplified Network Transparency

For Business Teams

• Baseline Analytics Features Come Included with Wi-Fi Assurance, Mobile Engagement, and Asset Visibility Subscriptions
• Customer Segmentation and Reporting Based on Visitor Telemetry
• Customized¹ Dwell and Third-Party Reporting for Traffic and Trend Analysis
• Correlated Customer-Guest Traffic and Trend Analysis

The AP33 is a six-stream access point. It supports 4x4:4 SS in the 5 GHz band, delivering a maximum data rate of 2,400 Mbps for high-bandwidth applications. It also supports 2x2:2 SS in the 2.4 GHz band, delivering a maximum data rate of 575 Mbps. The integrated third radio functions as a network, location, and security sensor, a synthetic test client radio, as well as a spectrum monitor.

With the new features that 802.11ax (Wi-Fi 6) introduces to boost performance and efficiency, configuring and operating an access point has grown far more complex. Juniper automates and optimizes these features with our AI for AX capabilities to improve data transmission scheduling within OFDMA and MU-MIMO and assign clients to the best radio to boost the overall performance of the network.

OFDMA improves spectral efficiency so that an increasing density of devices can be supported on the network. Density has become an issue with the rapid growth of IoT devices, which often utilize smaller data packets than mobile devices and hence increase contention on the network. Additionally, BSS Coloring improves the coexistence of overlapping BSSs and allows spatial reuse within a given channel by reducing packet collisions.

Radio Resource Management automates dynamic channel and power assignment, taking Wi-Fi and external sources of interference into account with a dedicated sensor radio. The AI engine continuously monitors coverage and capacity SLE metrics to learn and optimize the RF environment. The learning algorithm uses hysteresis on a 24-hour window to conduct a sitewide rebalancing for optimal channel and power assignment.

A dedicated, dual-band third radio collects data for Juniper’s patent-pending Proactive Analytics and Correlation Engine (PACE), which uses machine learning to analyze user experience, correlate problems, and automatically detect their root cause. These metrics are used to monitor SLEs and provide proactive recommendations to ensure problems don’t occur (or are fixed as quickly as possible when they do). This radio also functions as a synthetic test client to proactively detect and mitigate network anomalies.

By incorporating the 802.11ax target wake time (TWT) capability and Bluetooth 5.0, AP33 access points help extend the battery life of IoT devices, particularly as additional ones join the network.

Constantly monitor services running on the AP33 Series and send alerts whenever a service behaves abnormally. Dynamic debugging relieves IT of having to worry about an AP going offline or any services running on it becoming unavailable.

The Juniper Mist platform automatically captures packets and streams them to the cloud when major issues are detected. This saves IT time and effort and eliminates the need for truck rolls with sniffers to reproduce and capture data for troubleshooting.

Marvis is a natural language processing (NLP)-based assistant with a conversational interface that helps the understanding of user intent and goals, simplifies troubleshooting, and collects network insights. It uses AI and data science to proactively identify issues, determine the root causes and scope of impact, and gain insights into your network and user experiences. It eliminates the need to manually hunt through endless dashboards and CLI commands.

The AP33 automatically connects to the Juniper Mist cloud, downloads its configuration, and joins the appropriate network. Firmware updates are retrieved and installed automatically, ensuring that the network is always up to date with new features, bug fixes, and security updates.

Juniper Mist Wi-Fi Assurance, User Engagement and Asset Tracking services include a base analytics capability for analyzing up to 30 days of data, which enables you to simplify the process of extracting network insights across your enterprise. If you require dynamic insights like motion paths* and other third-party* data and would like the option of customized reports, the Juniper Mist Premium Analytics service is available as an additional subscription.

The AP33 has a 16-element vBLE antenna array controlled from the Juniper Mist cloud. Passive antennas enhance the power of a single transmitter and produce directional beams (or can be combined to act as an omnidirectional radio) to accurately detect distance and location with one- to three-meter accuracy. With Juniper’s patented vBLE technology, you can deploy an unlimited number of virtual beacons in your physical environment with no battery-powered BLE beacons required. With support for Bluetooth 5.0, the access point boosts IoT device signal range and battery life.

In addition to the industry-leading Wi-Fi technology at the heart of the AP33 access point, our second-generation, patented, and dynamic, 16-element vBLE antenna array combines with machine learning to eliminate the need for battery-powered beacons. This maximizes scalability and optimizes your deployment investment in location-based services.

vBLE enables businesses to provide rich location-based experiences that are engaging, accurate, real-time, and scalable.

Juniper APs offer a flexible data plane. Juniper Mist Edge is an on-premises appliance that runs a tunnel termination service. Traffic can be broken out locally or tunneled to Juniper Mist Edge.

Juniper Mist Edge use cases include seamless mobility in large campus environments, tunneling of guest traffic to a DMZ, IoT segmentation, and teleworker services.

Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper's AI-Native Networking Platform is built from the ground up to leverage AI to deliver exceptional, highly secure, and sustainable user experiences from the edge to the data center and cloud. Additional information can be found at juniper.net or connect with Juniper on X (formerly Twitter), LinkedIn, and Facebook.

1000691 - 004 - EN JULY 2024