Dynamic Spectrum Access (DSA) and routing in Cognitive Radio Networks (CRNs) present challenging operational and technological problems in beyond 4G networks. Additionally, the provision of Quality of Experience (QoE) for different applications and Cognitive Radio Devices (CRDs) requires new management architectures and knowledge information approaches. The paper advances a new data-representation solution to allow efficient multi-constraint routing and multi dimensional adaptation for multiple cognitive radio (CR) dimensions like space, frequency, power and time. The goal of the paper is to advance a system for CRN data representation, which allows optimized communication according to QoE demands between Secondary Users (SUs).