Joint multi-channel multi-step spectrum prediction algorithm
Yulong Gao, Chunyan Zhao, Ning Fu
Abstract
As wireless communication technology is applied to various fields and the non-renewable nature of spectrum resources, spectrum resources become more and more scarce. Spectrum sensing proposed to improve spectrum efficiency requires a lot of time and energy, therefore, people pay attention to spectrum prediction, but most of existing algorithms are only used for single-step prediction. Thus, we use LSTM, Seq-to-Seq modelling and attention mechanism to design a joint multi-channel multi-step spectrum prediction algorithm. The simulation results show that the prediction performance of the algorithm is better than that of single-channel prediction algorithm.
Topics & Concepts
Joint (building)Computer scienceChannel (broadcasting)WirelessAlgorithmSpectrum managementSpectrum (functional analysis)Cognitive radioTelecommunicationsEngineeringQuantum mechanicsArchitectural engineeringPhysicsCognitive Radio Networks and Spectrum SensingAdvanced Adaptive Filtering TechniquesBlind Source Separation Techniques