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Cognitive Radio and Game Theory

As our radios get smarter, they’ll be competing for overcrowded airwaves. Game theory can make them cooperate

10 min read
Cognitive Radio and Game Theory
Illustration: James Provost

Steve Jobs was unveiling the iPhone 4 at Apple’s worldwide developers conference in San Francisco last June when disaster seemed to strike. Jobs found he couldn’t connect to the conference center’s Wi-Fi network. Fortunately, his technical team rapidly pinpointed the problem. “We figured out why my demo crashed,” Jobs announced to the audience. “Because there are 570 Wi-Fi base stations operating in this room. We can’t deal with that.”

Jobs then exhorted the crowd to free up the airwaves so that he could continue. “All you bloggers need to turn off your base stations. Turn off your Wi-Fi. Every notebook, I’d like them down on the floor.” Most complied, but some refused to sever their wireless links, causing a sluggishness in connectivity that continued to dog Jobs during his presentation.

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Paying Tribute to Computer Science Pioneer Frederick Brooks, Jr.

He helped develop the IBM System/360 and its operating system

3 min read
portrait of an elderly man in a a red tie and blazer with a bookcase in the background
University of North Carolina

Frederick P. Brooks Jr., a prolific computer scientist and longtime professor of computer science, died on 17 November at the age of 91.

While working as a project manager at IBM in the 1960s, the IEEE Life Fellow led the development of the System/360 computer family. It was the first vertically compatible family of mainframe computers. Brooks also developed IBM’s OS/360, the world’s largest software project at the time. He is credited with coining the term computer architecture, which is used to describe how hardware and software are organized to make up a computer system and the operations which guide its function. He wrote The Mythical Man-Month, a book of essays published in 1975 that detailed lessons he learned from challenges he faced while developing the OS/360.

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AI for Wireless

The key to overcoming complexity in modern wireless systems design

4 min read
Diagram showing machine learning workflows

This is a sponsored article brought to you by MathWorks.

The evolution of mobile wireless technology, from 3G/4G to 5G, and introduction of Industry 4.0, have resulted in the ever-increasing complexity of wireless systems design. Wireless networks have also become more difficult to manage due to requirements necessitating optimal sharing of valuable resources to expanding sets of users. These challenges force engineers to think beyond traditional rules-based approaches with many are turning to artificial intelligence (AI) as the go-to solution to face the challenges introduced by modern systems.

From managing communications between autonomous vehicles, to optimization of resource allocations in mobile calls, AI has brought the sophistication necessary for modern wireless applications. As the number and scope of devices connected to networks expands, so too will the role of AI in wireless. Engineers must be prepared to introduce it into increasingly complex systems. Knowing the benefits and current applications of AI in wireless systems, as well as the best practices necessary for optimal implementation, will be key for the future success of the technology.

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