Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Eric Zeman

AT&T Says LTE Roll-Out Coming Mid-2011

An AT&T executive said Thursday that its 4G Long Term Evolution network is scheduled for a launch by the middle of 2011.

AT&T has long said that it will continue to invest in and further develop its HSPA network to faster and faster speeds and eventually move on to LTE. AT&T shared just a wee bit more information about how all that will unfold.

Speaking at a Bank of America conference, AT&T Operations CEO John Stankey revealed that the company plans to launch its first LTE network starting in the summer of 2011. AT&T believes it can cover between 70 and 75 million POPs (points of presence) by the end of 2011. AT&T didn't specify how many markets would be covered, nor how many it was targeting for the launch.

Stankey said that AT&T needs to continue to evolve its UMTS/HSPA network so that LTE-equipped devices can make phone calls. By itself LTE does not support traditional voice calls (though it could support VoIP).

Right now, AT&T is trialing LTE in Baltimore and Dallas. The company didn't confirm of those markets would be the first to get LTE at launch, but it stands to reason that they will.

AT&T will upgrade its HSPA network to HSPA+ later this year, which should push wireless download speeds up to 7.2Mbps.

T-Mobile has already begun upgrading its HSPA network to HSPA+, and recently announced the first HSPA+ device, the HTC G2, which will be available later this fall.

By way of comparison, Verizon Wireless will cover 100 million POPs in the U.S. with LTE by the end of 2010, spanning some 25 to 30 major metropolitan markets.

Sprint's 4G efforts -- which are encompassed by its WiMax roll-out -- have been steadily making progress. It has 54 markets lit up with WiMax, with more to come later this year. Within a year's time, many Americans should have access to two, if not three, 4G networks.

With Sprint and Verizon making so much noise about their 4G networks, AT&T needs to be able to say, "Hey, we're going 4G, too!"

Now that it has shared a few more details about how the launch will proceed, AT&T's 4G strategy looks clearer.

[Via Fierce Wireless]



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.