Juniper Mist brings true innovation to wireless networking with the world’s first AI-driven wireless LAN (WLAN). The Juniper AI-Driven Enterprise makes Wi-Fi predictable, reliable, and measurable with unprecedented visibility into the user experience through customizable service-level expectation (SLE) metrics. Proactive automation and a self-healing network replace time-consuming manual tasks, lowering Wi-Fi operational costs and saving substantial time and money.

The Juniper Mist cloud-native, AI-driven microservices architecture delivers unparalleled agility, scale, and resiliency to your network. It lowers OpEx and delivers unprecedented insights into network performance, behaviors, traffic patterns, and potential trouble spots by using data science to analyze large amounts of rich metadata collected by the HPE Juniper Networking access points .

The HPE Juniper Networking enterprise-grade access point family consists of:

• AP45 Series, AP34 , and AP24 , which support Wi-Fi 6E, 802.11ax ( Wi-Fi 6 ), and Bluetooth LE
• AP43 Series, AP33 , AP32 , AP12 , and AP63 Series, which support 802.11ax ( Wi-Fi 6 ) and Bluetooth LE

The real-time microservices in Juniper Mist cloud manage all these access points.

Table 1 compares the supported major functions of the Juniper Wi-Fi 6E and Wi-Fi 6 access points to help in selecting the most appropriate model(s).

Table 1. Juniper Wi-Fi 6E and Wi-Fi 6 access points

Wi-Fi cloud services

Juniper Mist Wi-Fi Assurance

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)

Marvis Virtual Network Assistant

For IT Help desk Teams

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

Juniper Mist Mobile Engagement

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™

Juniper Mist Asset Visibility

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

Juniper Mist Premium 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
• Dwell and Third-Party Reporting for Traffic and Trend Analysis
• Correlated Customer-Guest Traffic andTrend Analysis

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. HPE 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 HPE’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.

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.

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.

HPE Juniper Networking 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.