Abstract

Spectrum sensing is an important tool to resolve coexistence issue and optimize spectrum efficiency for Internet of things (IoT) systems. Nonetheless, IoT applications in fifth generation (5G) communications involve complicated scenarios with unstable channel conditions, which impedes spectrum sensing performance and will further hinder the spectrum efficiency of entire IoT systems. Motivated by such a circumstance, this paper proposes an Automatic Repeat Sensing (ARS) mechanism. The proposed mechanism exploits the difference degree of sensing results among multiple sensing antennas, and executes repeat-sensing if such a degree satisfies the given requirement. Accordingly, the negative impact of unstable channel conditions can be alleviated. Throughout the paper, we provide the concept and working principle for ARS, and derive the false-alarm probability under ARS mechanism. Numerical results manifest that ARS mechanism can markedly improve the sensing accuracy over other sensing mechanisms. Moreover, ARS mechanism has excellent flexibility and extensibility: its rules and configurations can be freely designed according to practical requirements.

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