Generalized Interference Detection Scheme in Heterogeneous Low Power Wide Area Networks

Resource allocation under massive connectivity is one of the most important research topics due to widespread Internet-of-Things and machine-to-machine communication. Since multiple systems share the same frequency band due to the scarcity of frequency spectrum, resource allocation that takes into account the intersystem interference is essential. In this letter, an interference detection scheme that detects the change of the intersystem interference state is proposed. The proposed scheme is based on density ratio estimation using the available information at the resource controller. For change detection, the controller generates standard samples and test samples. Estimating the density ratio between test and standard samples enables the controller to detect change of the intersystem interference state. Under long-range wide area networks and a wireless-sensor utility network coexisting environment, the numerical results elucidate that the proposed scheme can improve average packet delivery rate by 10% compared to the system without interference detection.