Real-Time-Sensing-Assisted Intelligent Communication for Internet of Things

With the rapid development of the Internet of Things (IoT), electromagnetic devices are increasingly being deployed in dense and resource-limited environments, resulting in severe mutual interference within limited spectral and spatial resources. To address this issue, a real-time sensing-assisted intelligent communication method is proposed which adaptively selects appropriate communication schemes based on the electromagnetic environment to achieve robust, intelligent communication. A key challenge lies in mitigating the self-interference caused by the communication transmit signal on wideband sensing. Focusing on self-interference suppression for wideband sensing receivers, this paper first presents a self-interference reconstruction and suppression architecture. Then, a closed-form expression for suppression performance is theoretically derived, and the impact of imperfect time synchronization between the interference and reference signals on suppression effectiveness is analyzed. Simulation results verify the theoretical analysis and demonstrate that, under identical normalized fractional delays, the degradation in interference suppression performance of the compressed sensing-based receiver is smaller than that of the uncompressed receiver. Specifically, when the normalized time synchronization error is 0.5, the 2-fold compressed wideband receiver achieves a 6.9 dB improvement in suppression capability compared to the uncompressed receiver.