Yingjia Huang yingjia.huang@durham.ac.uk
PGR Student Doctor of Philosophy
Joint Design of Fronthaul and Access Links in Massive MIMO Multi-UAV-enabled CRANs
Huang, Yingjia; Ikhlef, Aissa
Authors
Dr Aissa Ikhlef aissa.ikhlef@durham.ac.uk
Associate Professor
Abstract
This paper proposes a novel architecture of multi-unmanned aerial vehicle (UAV)-enabled cloud radio access network (CRAN). In particular, we propose to deploy the UAVs as flying remote radio heads (RRHs) to serve ground user equipments (UEs). The baseband unit (BBU) is equipped with a large-scale antenna array to serve the flying RRHs and affords all the baseband signal processing. To optimize the proposed architecture, we consider the maximization of the minimum rate of UEs by jointly optimizing UAVs placement, quantization noise variance, and power control. The corresponding optimization problem is not convex and to solve it we devise an efficient iterative algorithm combining the block coordinate descent and successive convex optimization methods. Numerical results demonstrate the superior performance of the proposed algorithm compared to two benchmark schemes.
Citation
Huang, Y., & Ikhlef, A. (2021). Joint Design of Fronthaul and Access Links in Massive MIMO Multi-UAV-enabled CRANs. IEEE Wireless Communications Letters, 10(11), 2355-2359. https://doi.org/10.1109/lwc.2021.3100320
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 17, 2021 |
Online Publication Date | Jul 27, 2021 |
Publication Date | 2021-11 |
Deposit Date | Aug 6, 2021 |
Publicly Available Date | Aug 6, 2021 |
Journal | IEEE Wireless Communications Letters |
Print ISSN | 2162-2337 |
Electronic ISSN | 2162-2345 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 10 |
Issue | 11 |
Pages | 2355-2359 |
DOI | https://doi.org/10.1109/lwc.2021.3100320 |
Public URL | https://durham-repository.worktribe.com/output/1244353 |
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