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In this report, we introduce the concept of Rician $K$-factor-based radioresource and mobility management for fifth generation (5G) ultra-dense networks(UDN), where the information on the gradual visibility between the new radionode B (gNB) and the user equipment (UE)---dubbed X-line-of-sight(XLOS)---would be required. We therefore start by presenting the XLOS serviceprobability as a new performance indicator; taking into account both the UEserving and neighbor cells. By relying on a lognormal $K$-factor model, aclosed-form expression of the XLOS service probability in a 5G outdoor UDN isderived in terms of the multivariate Fox H-function; wherefore we develop aGPU-enabled MATLAB routine and automate the definition of the underlyingMellin-Barnes contour via linear optimization. Residue theory is then appliedto infer the relevant asymptotic behavior and show its practical implications.Finally, numerical results are provided for various network configurations, andunderpinned by extensive Monte-Carlo simulations.

Rician $K$-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks