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协作认知无线电网络中的感知、报告和传输权衡。

Trade-Offs among Sensing, Reporting, and Transmission in Cooperative CRNs.

机构信息

School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.

出版信息

Sensors (Basel). 2022 Jun 23;22(13):4753. doi: 10.3390/s22134753.

DOI:10.3390/s22134753
PMID:35808246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269209/
Abstract

Cooperative spectrum sensing (CSS) has been verified as an effective approach to improve the sensing performances of cognitive radio networks (CRNs). Compared with existing works that commonly consider fusion with fixed inputs and neglect the duration of the reporting period in the design, we novelly investigate a fundamental trade-off among three periods of CSS: sensing, reporting, and transmission periods, and evaluate the impact of the fusion rule with a varying number of local sensing results. To be specific, the sensing time could be traded for additional mini-slots to report more local sensing results for fusion, or it could be traded for longer transmission time. In the CRNs with a given durations of sensing/reporting/transmission periods, we, respectively, formulate the throughput and collision probability and optimize the throughput under the collision constraint. The theoretical results show that, in the specific value intervals of the sensing parameters, the collision constraint provides an upper bound of the number of mini-slots in the reporting period or a lower bound of the sensing duration. We provide the approach to the maximum throughput in some cases.Finally, numerical results are presented to validate theoretical results.

摘要

协作频谱感知 (CSS) 已被证明是提高认知无线电网络 (CRN) 感知性能的有效方法。与通常考虑与固定输入融合并在设计中忽略报告期持续时间的现有工作相比,我们新颖地研究了 CSS 的三个周期之间的基本权衡:感知、报告和传输周期,并评估了具有不同数量的本地感知结果的融合规则的影响。具体来说,感知时间可以用于换取更多的本地感知结果的额外迷你时隙进行融合,或者可以用于换取更长的传输时间。在具有给定的感知/报告/传输周期持续时间的 CRN 中,我们分别制定吞吐量和碰撞概率,并在碰撞约束下优化吞吐量。理论结果表明,在特定的感知参数值区间内,碰撞约束为报告期的迷你时隙数量提供了上限或感知持续时间的下限。在某些情况下,我们提供了最大吞吐量的方法。最后,给出了数值结果以验证理论结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/f109e836d170/sensors-22-04753-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/e03aee1cfbe5/sensors-22-04753-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/8d3ac9a79ab6/sensors-22-04753-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/450481e2591a/sensors-22-04753-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/574aa0f81f84/sensors-22-04753-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/d3aa41b69d66/sensors-22-04753-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/6c5a796fde44/sensors-22-04753-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/8c20d8c5762f/sensors-22-04753-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/f109e836d170/sensors-22-04753-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/e03aee1cfbe5/sensors-22-04753-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/8d3ac9a79ab6/sensors-22-04753-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/450481e2591a/sensors-22-04753-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/574aa0f81f84/sensors-22-04753-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/d3aa41b69d66/sensors-22-04753-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/6c5a796fde44/sensors-22-04753-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/8c20d8c5762f/sensors-22-04753-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f150/9269209/f109e836d170/sensors-22-04753-g008.jpg

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本文引用的文献

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Coalition Formation and Spectrum Sharing of Cooperative Spectrum Sensing Participants.合作频谱感知参与者的联盟形成和频谱共享。
IEEE Trans Cybern. 2017 May;47(5):1133-1146. doi: 10.1109/TCYB.2016.2538293. Epub 2016 Mar 22.