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2023•IEEE Wireless Communications LettersRequires access

Design of Base Station Density for Maximizing Coverage Probability in Multicell Networks With LoS/NLoS Channels

Taesoo Kwon, Youngil Jeon, Moon‐Sik Lee

Open publisher page 3 citations

Abstract

Emerging multicell networks such as mmWave, THz, and sub-6GHz UDN networks are often modeled via mixed channels including line-of-sight (LoS) and non-LoS (NLoS). These mixed LoS and NLoS channels result in the existence of the optimal base station (BS) density to maximize coverage probability. Therefore, this letter investigates the analytical designs of BS density, one of which has a closed form. The results demonstrate that the proposed design can be comprehensively applied to various LoS/NLoS models as well as various networks.

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What this paper is about

Emerging multicell networks such as mmWave, THz, and sub-6GHz UDN networks are often modeled via mixed channels including line-of-sight (LoS) and non-LoS (NLoS). These mixed LoS and NLoS channels result in the existence of the optimal base station (BS) density to maximize coverage probability. Therefore, this letter investigates the analytical designs of BS density, one of which has a closed form. The results demonstrate that the proposed design can be comprehensively applied to various LoS/NLoS models as well as various networks.

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Available abstract

Emerging multicell networks such as mmWave, THz, and sub-6GHz UDN networks are often modeled via mixed channels including line-of-sight (LoS) and non-LoS (NLoS). These mixed LoS and NLoS channels result in the existence of the optimal base station (BS) density to maximize coverage probability. Therefore, this letter investigates the analytical designs of BS density, one of which has a closed form. The results demonstrate that the proposed design can be comprehensively applied to various LoS/NLoS models as well as various networks.

Key concepts: Non-line-of-sight propagation, Base station, Computer science, Coverage probability, Computer network, Cellular network, Stochastic geometry, Telecommunications

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