Efficient utilization of spectrum in wireless networks using cognitive radio
Aggala NagaJyothi, A. Usha Rani, Sachin Nair · 2025
The increasing demand for wireless applications has led to growing constraints on the utilization of the frequency spectrum, emphasizing the significance of Cognitive Radio (CR) technology. Much of the radio frequency spectrum remains underutilized, with some frequency bands being unoccupied for long periods, others partially used, and certain bands heavily occupied. Spectrum scans during periods of high demand reveal significant underutilization of available frequencies. Cognitive Radio addresses this inefficiency by dynamically accessing unused spectrum, thereby improving overall utilization. This paper focuses on two key spectrum sensing techniques used in Cognitive Radio: energy sensing and waveform sensing. Energy sensing involves estimating the energy of a received signal and comparing it to a predefined threshold to detect the presence of a primary user. In contrast, waveform sensing directly compares the known signal of the primary user with the received signal to confirm the user&s;s presence. Simulation results are presented to evaluate the performance and limitations of each technique. While the energy sensing algorithm is simple, its reliability diminishes in low signal-to-noise ratio (SNR) conditions. On the other hand, the waveform sensing method demonstrates superior performance, particularly at low frequencies, with a higher detection probability and lower error rates. The comparison highlights the trade-offs between simplicity and reliability, as each method has advantages in different SNR scenarios. In conclusion, this paper underscores the practical implications of spectrum sensing in Cognitive Radio Networks. By analyzing the performance of these techniques, it illustrates their critical role in achieving efficient spectrum utilization and their impact on the future of wireless communication.