Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Exploring the Spectrum of Wireless Connectivity

The world is on the precipice of a new wave of wireless connectivity, awaiting the oncoming faster generation of instant connection that will make self-driving cars, remote surgery and VR a mainstream reality. But this leap in speed won’t be widespread to start, and it won’t happen overnight. So what is the architecture of…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share

The world is on the precipice of a new wave of wireless connectivity, awaiting the oncoming faster generation of instant connection that will make self-driving cars, remote surgery and VR a mainstream reality.

But this leap in speed won’t be widespread to start, and it won’t happen overnight. So what is the architecture of connectivity today? And how is its construction primed to adapt and evolve?

Ladd Wimmer, Sales Engineer at Telarus, joins MarketScale to explain how we got to our current makeup of connectivity and how it can move us into the future.

“5G doesn’t mean all the same thing,” said Wimmer, citing T-Mobile’s 600 megahertz spectrum, a wave slightly better than what you’d get with 4G.

Connectivity truly is a spectrum, on which an array of connection modalities fall and work in synergy. On that spectrum, everyone falls somewhere different. Underserved communities, for instance, are still in need of a reliable connection, potentially in the form of small cell towers, while metropolitan places are already moving toward an indoor spectrum, creating a unique private network.

Citizens Broadband Radio, or CBRS, for example, fits into the spectrum of 5G. It has the capability to create its own private network where latency is not affected like on a WiFi network.

As connectivity options quickly change, adapt, and evolve, Wimmer said the most important question to be asking right now is, “What makes sense for my business?”

Follow us on social media for the latest updates in B2B!

Twitter – @MarketScale

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512