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

Access Point Features

High-Performance Wi-Fi

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.

AI for AX

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.

Greater Spectral Efficiency

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.

Automatic RF Optimization

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.

Proactive Insight and Action

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.

1

Juniper Mist Premium Analytics service subscription is needed

Improved IoT Battery Efficiency

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.

Dynamic Debugging

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.

Dynamic Packet Capture

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 Virtual Network Assistant

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.

AP33 Access Point Datasheet

3