This dataset consists of four datasets. LWNN train and LWNN test data sets consist of synthetically generated 64-OFDM carrier-wise QAM signals. Each signal consists of 1000 I-Q samples. RNN-BC-train and RNN-BC-test datasets consist of modulation (QAM64, QAM32, QAM16, QAM8, QAM4) in each carrier allocated by a bit loading algorithm based on a synthetically generated multipath channel response.
In this paper a novel technique for modelling a radio frequency (RF) environment based on hypergraph theory is investigated for solving coexistence management of heterogeneous networks and efficient channel allocation for spectrum sharing. Conventionally, traditional graph theory is used to model interference relationships and exclusive channel allocation. The demand for wireless services is increasing, hence the need for efficient spectrum management techniques, such as spectrum sharing among coexistent networks.
