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Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes
In this paper, we analyze the energy coverage performance of heterogeneous
millimeter wave (mmWave) wireless power transfer (WPT) networks, where macro
base stations (MBSs) are distributed according to a Poisson point process
(PPP), the location of power beacons (PBs) is modeled as a -tier Poisson
cluster process (PCP), and energy users (EUs) are clustered around the centers
of PB clusters. Moreover, the cosine antenna gain model is adopted instead of
the prevalent flap-top gain model, which is simpler in derivation but less
accurate. Based on the generalized exponential distribution approximation, we
propose a new technique of deriving the energy coverage probability of randomly
deployed mmWave WPT networks. Specifically, taking the Thomas cluster process
(TCP) for instance, we derive the energy coverage probabilities with two PB
association strategies, i.e., the random PB association and the nearest PB
association. Through Monte-Carlo simulations, our theoretical results are
verified and the impact of system parameters, such as the array antenna size,
energy threshold or average number of PBs in a cluster, are also investigated.Comment: accepted by IEEE VTC-2020 Fall. Copyright (c) 2015 IEEE. Personal use
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