Innovation in wireless communication

Andrey Kamenov

Andrey Kamenov, Ph.D. Probability and Statistics

Just how important is wireless communication? In 2016, the word appeared in over 30 percent of all patents in the “Multiplex Communication” category.

According to a Cisco VNI White Paper, the company expects annual global internet traffic to increase threefold over the next five years. They also expect the traffic in the U.S. to grow slightly more slowly at a compound annual growth rate of 19 percent.

The white paper also predicts especially rapid growth in busy-hour traffic as well as smartphone traffic. There’s little doubt that we are in the need of faster communication technologies. Especially important are technologies for wireless communications.

Let’s take a look at the current state of innovation in the industry.

Term frequency in multiplex communication patents

The current phase of active growth started in 2010, as seen on the chart above.

Here’s another way to visualize the data — for this visualization, we used the Latent Dirichlet Allocation algorithm. We obtained 15 major topics from the entire technology class corpus. After that, we employed the t-SNE method in order to flatten the dataset.

Multiplex communication patents by topic

On the scatter visualization above you can locate the topics dealing with wireless technology to the bottom right of the chart.

Companies with the most wireless technology patents

Samsung Electronics Co. was the leading innovator in the industry six years ago. Judging by the number of patents alone, it’s now far behind both Qualcomm and LG Electronics, and it looks like Intel Corp is also going to surpass it in the near future.

Ericsson is also worth mentioning as a company showing truly impressive growth in its number of wireless technology-related patents in the recent years. It even ranked among the top five companies in the last two years.

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About Andrey Kamenov

Andrey Kamenov

Andrey Kamenov, Ph.D. Probability and Statistics

Andrey Kamenov is a data scientist working for Advameg Inc. His background includes teaching statistics, stochastic processes and financial mathematics in Moscow State University and working for a hedge fund. His academic interests range from statistical data analysis to optimal stopping theory. Andrey also enjoys his hobbies of photography, reading and powerlifting.

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