2015
DOI: 10.1109/tcomm.2015.2394386
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Spatial Spectrum and Energy Efficiency of Random Cellular Networks

Abstract: It is a great challenge to evaluate the network performance of cellular mobile communication systems. In this paper, we propose new spatial spectrum and energy efficiency models for Poisson-Voronoi tessellation (PVT) random cellular networks. To evaluate the user access the network, a Markov chain based wireless channel access model is first proposed for PVT random cellular networks. On that basis, the outage probability and blocking probability of PVT random cellular networks are derived, which can be compute… Show more

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Cited by 243 publications
(117 citation statements)
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“…2 du is the tail probability of the standard normal distribution 1 . Following the steps of (55)- (58), we obtain (16).…”
Section: Lemma 2 the Pep Of The Second Hop Transmission From R To S mentioning
confidence: 99%
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“…2 du is the tail probability of the standard normal distribution 1 . Following the steps of (55)- (58), we obtain (16).…”
Section: Lemma 2 the Pep Of The Second Hop Transmission From R To S mentioning
confidence: 99%
“…1 Due to space limitations, we omit the detailed derivation. (23), where G 1 and G 2 are respectively computed by Eqs.…”
Section: A Asymptotic Abep and Diversity Ordermentioning
confidence: 99%
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“…By contrast, the recent study in [28] has formulated an optimal mobile-traffic-aware BS deployment strategy to maximize the network's EE while meeting the users' outage probability requirements, for dense large-scale homogeneous cellular networks. Furthermore, the authors of [29] analyzed both the SE and EE of dense homogeneous cellular networks by considering the effects of the call arrival rate and by proposing a Markov-chain access model. A similar GaussMarkov mobile model was utilized for analyzing small cell backhaul networks in [30].…”
Section: A Related Workmentioning
confidence: 99%
“…Proposition 9: Given ρ and λ u , there exists a unique optimal BS-density λ ⋆ b that maximizes the network's ESE metric η SR ESE and it can be obtained numerically by solving (29).…”
Section: B Mobile-traffic-aware Joint Comp and Bs Deployment Optimizmentioning
confidence: 99%