Rician K-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks
Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2018-10-09Preprint Posting Date
2018-04-22Online Publication Date
2018-10-09Print Publication Date
2019-04Permanent link to this record
http://hdl.handle.net/10754/629969
Metadata
Show full item recordAbstract
In this letter, we introduce the concept of Rician K-factor-based radio resource and mobility management for fifth generation (5G) ultra-dense networks (UDN), where the information on the gradual visibility between the new radio node B (gNB) and the user equipment (UE)—dubbed X-line-of-sight (XLOS)—would be required. We therefore start by presenting the XLOS service probability as a new performance indicator; taking into account both the UE serving and neighbor cells. By relying on a lognormal K-factor model, a parametric expression of the XLOS service probability in a 5G outdoor UDN is derived, where the link between network parameters and the availability of a XLOS condition is established. The obtained formula is given in terms of the multivariate Fox H-function, wherefore we develop a fast graphical processing unit (GPU)-enebled MATLAB code. Residue theory is then applied to infer the relevant asymptotic behavior and show its practical implications. Finally, numerical results are provided for various network configurations, and underpinned by extensive Monte-Carlo simulations.Citation
Chergui H, Benjillali M, Alouini M-S (2018) Rician K-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks. IEEE Wireless Communications Letters: 1–1. Available: http://dx.doi.org/10.1109/LWC.2018.2874654.arXiv
arXiv:1804.08101Additional Links
https://ieeexplore.ieee.org/document/8486668ae974a485f413a2113503eed53cd6c53
10.1109/LWC.2018.2874654