Abstract
Ultra-dense networks (UDNs) are widely considered as an effective solution to greatly improve coverage by shortening the communication distance between user equipments (UEs) and base stations (BSs). The reality of UDN is that line-of-sight (LOS) communication becomes more likely to occur but this desirable result also complicates the performance analysis of random UDNs and puts an obstacle on the design and optimization of UDNs. The aim of this paper is to derive analytical results that take into account the phenomenon of having mixed LOS and non line-of-sight (NLOS) links in UDNs. In particular, the use of an arbitrary shaped thinning process to model the LOS wireless links allowed us to investigate a wide set of scenarios for what concerns the desired and interfering power levels. Our contribution is an accurate approximation in closed form for the success content delivery probability (SCDP) that decouples the contribution from LOS and NLOS links. Simulation results corroborate the accuracy of the proposed approximation.
Highlights
Future-generation mobile wireless networks are foreseen to cope with an enormous number of content requests generated at the network edge [1]
The radius of the Euclidean ball is fixed at R = 25 [m], the maximum number of cooperating edge nodes is set at Kfmax = 3 and the target bit-rate is set at ρ = 2 [Mbps]
The results are obtained by employing a uniform content (UC) caching strategy and we keep the same values reported unless specified otherwise
Summary
Future-generation mobile wireless networks are foreseen to cope with an enormous number of content requests generated at the network edge [1]. Massive deployment of short-range, low-power small-cell base stations (SBSs) has been regarded as a promising way to unlock network performance and meet the stringent key performance indicators (KPIs), e.g., [2]–[4]. When this network densification is adopted, LOS links are more likely to occur, and more power is associated to the transmission of the content as both desired and interfering power. Small-scale channel fading is usually assumed to follow Rayleigh distribution This model best describes the phenomenon of having multi-path signals bouncing off buildings and obstacles before reaching the destination, without a direct LOS path.
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