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Temporal-Structure-Aware Interference Cancellation for Asynchronous Cognitive IoT

In this letter, we investigate the interference cancellation problem for asynchronous cognitive Internet of Things (C-IoT) in the concurrent spectrum access (CSA) model. An iterative receiver together with a new clustering algorithm is employed to cancel the interference and recovers the desired signal. Since the C-IoT device and the primary user (PU) are non-cooperative, they are generally asynchronous at the symbol level and the interference signal received by the secondary user (SU) receiver (Rx) possesses a first-order Markov property over time. Therefore, we propose a new clustering algorithm named hidden Morkov model (HMM) based affinity propagation (AP) algorithm that combines the HMM and the AP algorithm to realize the clustering module. The proposed HMM-AP algorithm exploits the temporal-correlation information to improve the performance of the iterative receiver. We show that the receiver with the HMM-AP algorithm can work well in non-cooperative system and has a much better performance than the original AP.