Mobile operators have invested hundreds of billions of dollars into spectrum licenses. Despite these massive investments, operators today have minimal insight into the amount and effect of external and unintended internal RF interference within their networks.
Join this must-attend webinar to benefit from key insights derived from the recently completed trials of our revolutionary machine learning spectrum analytics solution, Spectrum-NET, with ten leading operators across the globe.
We shed light on a multi-billion dollar problem space within the mobile industry:
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How much external and unintended internal RF interference is occurring within UMTS and LTE networks and its impact on performance.
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What are the common sources of this interference (e.g., PIM, industrial noise, tropospheric ducting, unauthorized equipment, security alarms, etc.)?
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How Spectrum-NET automatically detects, characterizes, classifies and locates this previously undetectable interference.
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What is the impact of this interference on mobile networks?
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How will higher spectral efficiencies with 5G NR intensify these challenges?
You won’t want to miss out on these real-world results. Take the first step in clearing your network of harmful interference and realizing the full value of your spectrum.
We shed light on a multi-billion dollar problem space within the mobile industry:
-
How much external and unintended internal RF interference is occurring within UMTS and LTE networks and its impact on performance.
-
What are the common sources of this interference (e.g., PIM, industrial noise, tropospheric ducting, unauthorized equipment, security alarms, etc.)?
-
How Spectrum-NET automatically detects, characterizes, classifies and locates this previously undetectable interference.
-
What is the impact of this interference on mobile networks?
-
How will higher spectral efficiencies with 5G NR intensify these challenges?
You won’t want to miss out on these real-world results. Take the first step in clearing your network of harmful interference and realizing the full value of your spectrum.
