B1 Non-refereed journal articles
IEEE Access Special Section Editorial : Cloud and Big Data-Based Next-Generation Cognitive Radio Networks (2019)

Zhao, N., Liu, X., Yu, R. F., Chen, Y., Han, T., & Chang, Z. (2019). IEEE Access Special Section Editorial : Cloud and Big Data-Based Next-Generation Cognitive Radio Networks. IEEE Access, 7, 180354-180360. https://doi.org/10.1109/ACCESS.2019.2960172

JYU authors or editors

Publication details

All authors or editors: Zhao, Nan; Liu, Xin; Yu, Richard F.; Chen, Yunfei; Han, Tao; Chang, Zheng

Journal or series: IEEE Access

eISSN: 2169-3536

Publication year: 2019

Volume: 7

Pages range: 180354-180360

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/ACCESS.2019.2960172

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67463


In cognitive radio networks (CRN), secondary users (SUs) are required to detect the presence of the licensed users, known as primary users (PUs), and to find spectrum holes for opportunistic spectrum access without causing harmful interference to PUs. However, due to complicated data processing, non-real-time information exchange and limited memory, SUs often suffer from imperfect sensing and unreliable spectrum access. Cloud computing can solve this problem by allowing the data to be stored and processed in a shared environment. Furthermore, the information from a massive number of SUs allows for more comprehensive information exchanges to assist the resource allocation and interference management at the cloud center while relieving the stringent capacity demands in fronthaul links. Moreover, spectrum resources should be made available to more users, especially when the spectrum is underutilized but occupies a large band. Hence, cloud-based CRN can generate massive sensing samples that will benefit the applications of big data algorithms. The approaches to spectrum sensing and spectrum management can be greatly improved with decision-making capabilities of spectral big data.

Keywords: cognitive radio; wireless data transmission; cloud services

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2019

Last updated on 2022-20-09 at 13:22