Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN
Source abstract
Abstract
Integrated Sensing and Communications (ISAC) has attracted increasing attention due to more efficient utilization of both radio spectrum and hardwares. However, ISAC can only relieve the shortage of the spectrum, especially in the situation of exponential growth of wireless terminals. Efficient spectrum utilization strategy is still an important direction for the continuous evolution of wireless communication technology. As such, spectrum sensing (SS) is discussed in ISAC scenarios, and a novel cooperative SS scheme is proposed by as an improved auto-encoder for more efficient spectrum utilization. More specifically, the parameters of each local spectrum spectrum-sensing network are encoded and sent to the central server, and the local network parameters are decoded, fused, and returned to each local node at the central server. The simulations are designed, and the experiment results demonstrate the effectiveness of the proposed scheme.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Cognitive Radio Networks and Spectrum Sensing · Wireless Signal Modulation Classification · Neural Networks and Reservoir Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Information and Communication Center, China Academy of Information and Communications Technology, Beijing 100876, China
References (20)
Show source-provided references
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