Welcome!

Mobile IoT Authors: Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White, Dana Gardner

Related Topics: Mobile IoT

Mobile IoT: Blog Feed Post

4G Wireless Now Faster than Wired Internet

After seeing those AT&T numbers, I am beginning to come around. Maybe wireless is the way to go.

I have been using various forms of wireless data for nearly 20 years, starting with the first Mobitex networks with the precursors of the Blackberry that were the size of small bricks. Today was a major milestone for me: the first time that I got better speeds over my phone than my computer with a broadband cable modem over ordinary wires.

In my quick tests, my Charter 15 MB connection delivered about 9 MB for downloads, and about 3 MB for uploads. That is plenty fast for me, although I do notice that sometimes it is a lot slower. Which is what you would expect from a shared cable modem connection. Now, I could purchase a faster package from Charter, they have a variety of offerings even up to 100 MB down but still only 5 MB up. That is, if I wanted to try to take an hour to

navigate their support.

My AT&T 3G iPhone delivered about 1 MB down and half a meg up. You could tell it was a lot slower. But the real champ was an LG Nitro AT&T 4G phone that I was testing: nearly 19 MB down and more than 5 MB up. Think about that for a moment, those are pretty impressive speeds. And the download is nearly twice as fast as my wired connection.

And it isn’t just me: PC World found multiple megabit speeds on the various 4G networks that it tested this week as well, with AT&T reaching close to 10 MB/sec averaged across 10 cities.

Watch a video? No problem and no pauses as it streams to my phone. Download a big fat file? Not a second thought.

At least until the bills come in for my data service. That’s the rub: never have we gotten this kind of performance over a cell phone before. But we can’t really use it, because all those “unlimited” data plans are going away, to be replaced with some pretty high per-MB plans. Several tech columnists have written stories about how they have burned through their monthly data allotments in the first day or so of usage. Not good.

Now, not all the American carriers are eliminating their unlimited data plans. Sprint, for example, will sell you an unlimited data plan for various 4G phones for as little as $70 a month with 450 talk minutes. The others are less generous, or have restrictions and lots of fine print. But Sprint has the poorest coverage of the four carriers in my area.

Probably a better way is to use one of the Clear.com devices. They offer unlimited 4G data for $50 a month, which is slightly more than what I am paying for my cable modem but I can take the little gizmo with me when I am on the road and avoid those annoying wireless data charges at various hotels and other hot spots. Until now I wasn’t so convinced that Clear was clearly for me. But after seeing those AT&T numbers, I am beginning to come around. Maybe wireless is the way to go.

Read the original blog entry...

More Stories By David Strom

David Strom is an international authority on network and Internet technologies. He has written extensively on the topic for 20 years for a wide variety of print publications and websites, such as The New York Times, TechTarget.com, PC Week/eWeek, Internet.com, Network World, Infoworld, Computerworld, Small Business Computing, Communications Week, Windows Sources, c|net and news.com, Web Review, Tom's Hardware, EETimes, and many others.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...