Study of distance distributions and clustered user association in separation based two-tier HCNs
| Autor: | Meshal Sinnen, Kwok Hung Li, Kah Chan The |
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| Rok vydání: | 2018 |
| Předmět: |
symbols.namesake
Software deployment Computer science Homogeneous Distributed computing Gaussian 0202 electrical engineering electronic engineering information engineering symbols Cellular network 020206 networking & telecommunications Probability density function 02 engineering and technology Poisson distribution |
| Zdroj: | WCNC |
| DOI: | 10.1109/wcnc.2018.8376991 |
| Popis: | Homogeneous user models have been traditionally considered in heterogeneous cellular networks (HCNs) that comprise base transmitting stations (BTSs) operating at different power levels. As small-cell BTSs are usually deployed to cater to dense user clusters in limited spaces, Poisson cluster processes (PCPs) have found application in modeling non-homogeneous user distributions, for which deployments are placed at the center of user clusters. We propose a two-tier HCN model that comprises a single potential tier-2 small-cell deployment per user cluster. The potential tier-2 BTS deployments are offset by a randomly distributed distance with respect to the centers of their corresponding clusters, which are also known as social attractors (SAs). Deployment or active transmission of a tier-2 BTS may only occur if there is sufficient separation from active tier-1 BTSs in the network, effectively creating a Poisson hole process (PHP) of tier-2 BTSs. By using variations of the PCP to model clustered users that surround SAs, distance distributions are analyzed for two situations, where the offset between an SA and a potential tier-2 BTS is modeled by using the uniform and Gaussian distributions, respectively. This result is extended to obtain the probability of association of users to their corresponding cluster deployments, and the two BTS tiers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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