Dynamic Spectrum Access (DSA) for Opportunistic Spectrum Sharing in Next-Generation 6G Networks with Heterogeneous Wireless Devices
Overview
As highlighted in the National Spectrum Strategy, Dynamic Spectrum Access (DSA) is key for enabling 6G networks to meet the increasing demand for spectrum from various, heterogeneous emerging applications in densely populated environments. In this paper, we model heterogeneous wireless networks with multiple 6G base stations (BS) and a limited number of frequency bands available for transmission. Each BS is associated with a geographical location, a coverage area, and a bandwidth requirement. To avoid harmf ul signal interference, we impose that BSs with overlapping coverage areas must use different frequency bands. We address the problem of efficiently allocating contiguous frequency bands to BSs while avoiding interference. Specifically, we define insightfu l performance metrics that capture the feasibility of the frequency allocation task, the number of BSs that can be allocated within the limited frequency bands, and the amount of resources utilized by the network. Then, we develop five different DSA algorithms that prioritize BSs based on different features –one of these algorithms is known in the graph theory literature as Welsh -Powell graph coloring algorithm –and compare their performance using extensive Monte-Carlo simulations. Our results show that DSA a lgorithms that maximize the chances of obtaining a feasible frequency allocation -- which have been widely studied in literature -- tend to underperform in all other metrics. Interestingly, our novel Bandwidth -Coverage DSA algorithm achieves the lowest bandwidth consumption compared to popular allocation methods from prior studies. Such innovative DSA methodologies enable high -speed, reliable connectivity for intelligent transportation systems, virtual reality, and numerous high-bandwidth 6G applications. Washington
Competition history
- JSHS 2025
Resources
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