Performance Analysis of Adaptive Sensing in Cognitive Radio Networks with Hybrid Interweave-Underlay
Fanzi Zeng, Xianxiang Liu
Abstract
Fanzi Zeng, Xianxiang Liu
Abstract
In this paper we present a novel dynamic spectrum sensing and access model in cognitive radio networks. This model allows secondary user (SU) to sequentially sense two times if necessary due to the false alarm, and choose different accessing manner according to the sensing result. In practice, sensing results often affect the data transmission in cognitive radio systems. Therefore, a hybrid interweave/underlay cognitive radio system is presented by jointly considering spectrum sensing and data transmission. We derive throughput of the secondary user. compared to the existing works, our analytical results indicate that our approach can achieve significant improvements in terms of SU's throughput.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper we present a novel dynamic spectrum sensing and access model in cognitive radio networks. This model allows secondary user (SU) to sequentially sense two times if necessary due to the false alarm, and choose different accessing manner according to the sensing result. In practice, sensing results often affect the data transmission in cognitive radio systems. Therefore, a hybrid interweave/underlay cognitive radio system is presented by jointly considering spectrum sensing and data transmission. We derive throughput of the secondary user. compared to the existing works, our analytical results indicate that our approach can achieve significant improvements in terms of SU's throughput.
Key concepts: Cognitive radio, Underlay, Computer science, Throughput, Transmission (telecommunications), False alarm, Computer network, Cognitive network