"NASA spacecraft typically rely on human-controlled radio systems to
communicate with Earth. As collection of space data increases, NASA
looks to cognitive radio, the infusion of artificial intelligence into
space communications networks, to meet demand and increase efficiency" continues NASA.
“Modern space communications systems use complex software to support
science and exploration missions,” said Janette C. Briones, principal
investigator in the cognitive communication project at NASA’s Glenn Research Center
in Cleveland, Ohio. “By applying artificial intelligence and machine
learning, satellites control these systems seamlessly, making real-time
decisions without awaiting instruction.”
To understand cognitive radio, it’s easiest to start with
ground-based applications. In the U.S., the Federal Communications
Commission (FCC) allocates portions of the electromagnetic spectrum used
for communications to various users. For example, the FCC allocates
spectrum to cell service, satellite radio, Bluetooth, Wi-Fi, etc.
Imagine the spectrum divided into a limited number of taps connected to a
water main.
What happens when no faucets are left? How could a device access the electromagnetic spectrum when all the taps are taken?
Software-defined radios like cognitive radio use artificial
intelligence to employ underutilized portions of the electromagnetic
spectrum without human intervention. These “white spaces” are currently
unused, but already licensed, segments of the spectrum. The FCC permits a
cognitive radio to use the frequency while unused by its primary user
until the user becomes active again.
In terms of our metaphorical watering hole, cognitive radio draws on
water that would otherwise be wasted. The cognitive radio can use many
“faucets,” no matter the frequency of that “faucet.” When a licensed
device stops using its frequency, cognitive radio draws from that
customer’s “faucet” until the primary user needs it again. Cognitive
radio switches from one white space to another, using electromagnetic
spigots as they become available.
“The recent development of cognitive technologies is a new thrust in
the architecture of communications systems,” said Briones. “We envision
these technologies will make our communications networks more efficient
and resilient for missions exploring the depths of space. By integrating
artificial intelligence and cognitive radios into our networks, we will
increase the efficiency, autonomy and reliability of space
communications systems.”
For NASA, the space environment presents unique challenges that
cognitive radio could mitigate. Space weather, electromagnetic radiation
emitted by the sun and other celestial bodies, fills space with noise
that can interrupt certain frequencies.
“Glenn Research Center is experimenting in creating cognitive radio
applications capable of identifying and adapting to space weather,” said
Rigoberto Roche, a NASA cognitive engine development lead at Glenn.
“They would transmit outside the range of the interference or cancel
distortions within the range using machine learning.”
In the future, a NASA cognitive radio could even learn to shut itself
down temporarily to mitigate radiation damage during severe space
weather events. Adaptive radio software could circumvent the harmful
effects of space weather, increasing science and exploration data
returns.
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Source: NASA