Throughput-Oriented Full-Duplex Cognitive Radio Network Parameter Optimization | Zendy

Haibin Jiang | Zendy; Zhiyong Yu | Zendy; Jian Yang | Zendy; Kai Kang | Zendy

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Throughput-Oriented Full-Duplex Cognitive Radio Network Parameter Optimization

Author(s) -

Haibin Jiang,

Zhiyong Yu,

Jian Yang,

Kai Kang

Publication year - 2022

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2022/4056645

Subject(s) - cognitive radio , correctness , throughput , computer science , fusion center , transmission (telecommunications) , channel (broadcasting) , data transmission , sensor fusion , computer network , real time computing , electronic engineering , algorithm , wireless , telecommunications , engineering , artificial intelligence

Full-duplex cooperative spectrum sensing (FD-CSS) is an important research field in the field of spectrum sensing. In the FD-CSS network, the secondary user (SU) senses the usage status of the authorized spectrum by the primary user (PU) through the sensing channel and then reports the perceived data to the fusion center (FC) through the reporting channel. The FC makes a comprehensive judgment after summarizing the data through the fusion algorithm. In the secondary network with SU, throughput is an important index to measure the performance of the network. Taking throughput as the optimization goal, this paper theoretically deduces and verifies the optimal data fusion algorithm in cooperative spectrum sensing (CSS), the threshold of optimal energy detection, and the optimal transmission power of SU in the secondary network. The simulation results show the correctness of the results in this paper.

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