Spectrum sensing and resource allocation for 5G heterogeneous cloud radio access networks. Safi, H., Montazeri, A. M., Rostampoor, J., & Parsaeefard, S. IET Communications, 16(4):348–358, 2022. arXiv: 1907.07083doi abstract bibtex In this paper, the problem of opportunistic spectrum sharing for the next generation of wireless systems empowered by the cloud radio access network (C-RAN) is studied. More precisely, low-priority users employ cooperative spectrum sensing to detect a vacant portion of the spectrum that is not currently used by high-priority users. The authors' aim is to maximize the overall throughput of the low-priority users while guaranteeing the quality of service of the high-priority users. This objective is attained by optimally adjusting spectrum sensing time, with respect to target probabilities of detection and false alarm, as well as dynamically allocating C-RAN resources, that is, powers, sub-carriers, remote radio heads, and base-band units. To solve this problem, which is non-convex and NP-hard, a low-complex iterative solution is proposed. Numerical results demonstrate the necessity of sensing time adjustment as well as effectiveness of the proposed solution.
@article{Safi2022,
title = {Spectrum sensing and resource allocation for {5G} heterogeneous cloud radio access networks},
volume = {16},
issn = {17518636},
doi = {10.1049/cmu2.12356},
abstract = {In this paper, the problem of opportunistic spectrum sharing for the next generation of wireless systems empowered by the cloud radio access network (C-RAN) is studied. More precisely, low-priority users employ cooperative spectrum sensing to detect a vacant portion of the spectrum that is not currently used by high-priority users. The authors' aim is to maximize the overall throughput of the low-priority users while guaranteeing the quality of service of the high-priority users. This objective is attained by optimally adjusting spectrum sensing time, with respect to target probabilities of detection and false alarm, as well as dynamically allocating C-RAN resources, that is, powers, sub-carriers, remote radio heads, and base-band units. To solve this problem, which is non-convex and NP-hard, a low-complex iterative solution is proposed. Numerical results demonstrate the necessity of sensing time adjustment as well as effectiveness of the proposed solution.},
number = {4},
journal = {IET Communications},
author = {Safi, Hossein and Montazeri, Ali Mohammad and Rostampoor, Javane and Parsaeefard, Saeedeh},
year = {2022},
note = {arXiv: 1907.07083},
pages = {348--358},
}
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