Spectrum awareness is primarily used in cognitive radio networks to detect unused radio frequency bands. This technology enables cognitive radios—smart wireless communication systems that dynamically adapt to their environment—to identify spectrum holes or unoccupied frequencies licensed users, such as TV broadcasters or cellular networks, are not using. By identifying these unused frequencies, spectrum sensing allows secondary users (those without licenses) to utilize these bands without interfering with primary users.
Spectrum awareness extends to preventing interference with primary transmissions, ensuring efficient use of the radio spectrum, and enabling cognitive radios to adapt their operation dynamically. This includes adjusting transmission parameters like frequency, power level and modulation scheme based on real-time environmental observations. Techniques for spectrum sensing include energy detection and, more recently, AI and ML-driven sensing.
