Abstract

The rapid expansion of high-speed wireless communication, driven by the widespread use of smart devices and data-hungry applications, is calling for the effective use of the radio frequency (RF) spectrum. A multiband wireless internet system provides a unique way to efficiently access multiple frequency bands, employing spectrum agility to improve system performance. Depending on real-time conditions, spectrum agility boosts capacity, improves reliability, provides interference avoidance, and delivers better quality of service (QoS) for the wireless system, favoring the multimode band. Despite the benefits of multiband systems, implementation is hindered by spectrum scarcity, hardware limitations, regulatory constraints, and intra-town issues. This paper presents a new architecture that combines cognitive radio, dynamic spectrum access (DSA), and adaptive modulation to enable spectrum management across a multiband set. We propose a flow-based operating model that includes a customized algorithm for spectrum sensing and decision-making. Our simulations show significant improvements in throughput, spectrum efficiency, and interference mitigation against an ordinary single-band system. Our development was examined with a real dataset and a performance baseline. In addition, a more complete display evaluation, including tables and charts, shows our enhanced spectral efficiency and spectral delay reduction. The work contributes to advancing agile wireless systems and to the development of future 6G and beyond systems. Conclusions provide insights for policy planners and industry stakeholders as they develop flexible approaches to spectrum access.