Cooperative sensing delay minimization in cloud-assisted DSA networks

摘要: Dynamic Spectrum Access (DSA) is considered as a promising solution to address the problem of spectrum scarcity in future wireless networks. However, main challenges associated with this approach are acquire accurate usage information timely manner and deal dynamicity channel occupancy. Although Cooperative Sensing (CS) can provide significant advantages over individual device-level sensing terms efficiency achievable throughput, acquired occupancy may become outdated dynamic conditions due involved latency. In regard, we propose utilize collaborative cloud-edge processing framework minimize CS delay DSA framework, cloud-center estimate parameters such duty cycle based on available historical data by using suitable prediction technique, subsequently prior knowledge be utilized adapt mechanism employed at edge-side network. Motivated this, formulate solve minimizing cloud-assisted A two-stage bisection search method minimization problem. Our results show that proposed scheme significantly reduce