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AP32 Datasheet(PDF) 3 Page - Juniper Networks, Inc.

Part # AP32
Description  AP32 ACCESS POINT DATASHEET
PDF  9 Pages
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Manufacturer  JUNIPER [Juniper Networks, Inc.]
Direct Link  https://www.juniper.net/us/en.html
Logo JUNIPER - Juniper Networks, Inc.

AP32 Datasheet(HTML) 3 Page - Juniper Networks, Inc.

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Access Point Features
High Performance Wi-Fi
The AP32 series offers six-stream wireless access points. They
support 4x4:4SS in the 5GHz band, delivering a maximum data rate
of 2,400 Mbps for high-bandwidth applications. They also support
2x2:2SS 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 802.11ax Orthogonal Frequency Division Multiple Access
(OFDMA), Multi-User Multiple Input Multiple Output (MU-MIMO),
and BSS Coloring technologies supported, AP32 series performance
reaches unprecedented levels to support new bandwidth-hungry
applications and soaring device densities.
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, which
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 its 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.
Unprecedented 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.
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 Conversational Assistant
Marvis is a natural language processing (NLP)-based assistant with a
Conversational Interface to understand user intent and goals,
simplifying troubleshooting and the collection of 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.
AP32 Access Point Datasheet
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