Empowering the Airwaves: Developing Cognitive Radio Networks with AI for Autonomous Spectrum Management in Indonesia
The burgeoning demand for wireless connectivity in Indonesia, fueled by a rapidly growing digital economy and a geographically diverse landscape, places immense pressure on the limited radio frequency spectrum. Traditional static spectrum allocation methods struggle to keep pace with the dynamic needs of various applications and user demands, leading to spectrum scarcity and inefficient utilization. Cognitive Radio Networks (CRNs), empowered by Artificial Intelligence (AI), offer a promising solution for autonomous spectrum management, paving the way for more efficient and flexible use of the airwaves across Indonesia’s diverse regions.
The Spectrum Crunch in Indonesia:
Indonesia’s unique geographical characteristics, spanning thousands of islands, and its burgeoning digital adoption necessitate robust and efficient wireless communication infrastructure. However, the traditional approach of allocating fixed frequency bands to licensed users often results in:
- Spectrum Underutilization: Licensed bands can remain idle for significant periods while other unlicensed bands experience congestion.
- Limited Access for New Technologies and