AP12 Access Point Datasheet

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 Process and Resource Improvement Teams

• Identify Assets by Name and View Location
• Zonal/Room Accuracy for Third-Party Tags
• Historical Analytics for Asset Tags
• Telemetry for Asset Tags (such as temperature and motion data)
• APIs for Viewing Assets and Analytics

For Network Teams

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

The AP12 access point is a tri-radio 2x2:2 SS 802.11ax access point with maximum data rates of 1,200 Mbps in the 5 GHz band and 575 Mbps in the 2.4 GHz band. The integrated third radio functions as a network, location, and security sensor, a synthetic test client radio, as well as a spectrum monitor.

By adding 802.11ax Orthogonal Frequency Division Multiple Access (OFDMA), Multi-User Multiple Input Multiple Output (MU-MIMO), and BSS Coloring technologies, performance is boosted to unprecedented levels to support new bandwidth-hungry applications and soaring device densities.

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 AI for AX capabilities, which optimize BSS coloring, 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 the burden and 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.

With the increasing complexity that the addition of 6 GHz spectrum to the 2.4 GHz and 5 GHz spectrum brings, reliable RF optimization is even more critical than in the past. Radio resource management (RRM) automates dynamic channel and power assignment, taking Wi-Fi and external sources of interference into account with its dedicated sensor radio. The AI engine continuously monitors the SLE coverage and capacity metrics to learn and optimize the RF environment. A learning algorithm uses hysteresis on a 24-hour window to conduct 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 leverages machine learning to analyze user experience, correlate problems, and automatically detect root causes. 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 is able to function as a synthetic test client to proactively detect and mitigate network anomalies.

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 help 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 AP12 access point 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 Wireless Assurance, User Engagement, and Asset Visibility 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 paths¹ and other third-party¹ data and would like the option of customized reports, the Juniper Mist Premium Analytics service is available as an additional subscription.

The AP incorporates the 802.11ax target wake time (TWT) capability and Bluetooth 5.0, which together extend IoT devices’ battery life as new IoT devices join the network.

Constantly monitor services running on the AP12 model 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.

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.

1000688 - 004 - EN JULY 2024