Performance Analysis for User-Centric Dense Networks With mmWave

This paper focuses on the coverage probability and ergodic capacity for millimeter wave (mmWave) user-centric dense networks, where multiple access points (APs) consist of a virtual cell for each user equipment and transmit data with mmWave antennas cooperatively. All APs are distributed according t...

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Main Authors: Jianfeng Shi, Cunhua Pan, Wence Zhang, Ming Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8618407/
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spelling doaj-3d5f3f6c5ef04b2c8dc3643f8db97c6f2021-03-29T22:34:49ZengIEEEIEEE Access2169-35362019-01-017145371454810.1109/ACCESS.2019.28934038618407Performance Analysis for User-Centric Dense Networks With mmWaveJianfeng Shi0https://orcid.org/0000-0002-4945-034XCunhua Pan1https://orcid.org/0000-0001-5286-7958Wence Zhang2Ming Chen3National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaSchool of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaThis paper focuses on the coverage probability and ergodic capacity for millimeter wave (mmWave) user-centric dense networks, where multiple access points (APs) consist of a virtual cell for each user equipment and transmit data with mmWave antennas cooperatively. All APs are distributed according to a homogeneous Poisson point process. Different from the low-frequency band (below 3 GHz), blockages have a non-negligible effect on mmWave band. To illustrate the effect, we utilize a line-of-sight probability function, which is dependent on the link-length. Then, via stochastic geometry, the expressions for coverage probability and ergodic capacity are derived, which accounts for: blockages, different small-scale fading distributions (Nakagami, Rayleigh, and no fading), and AP cooperation. In addition, we deduce the approximate expressions for coverage probability and ergodic capacity by using the noise-limited approximation. The numerical results validate our analytical expressions and show that the AP cooperation can provide high coverage performance and distinct capacity gain in a lower-AP-density region.https://ieeexplore.ieee.org/document/8618407/User-centric dense networksmillimeter wavePoisson point processergodic capacitycoverage probability
collection DOAJ
language English
format Article
sources DOAJ
author Jianfeng Shi
Cunhua Pan
Wence Zhang
Ming Chen
spellingShingle Jianfeng Shi
Cunhua Pan
Wence Zhang
Ming Chen
Performance Analysis for User-Centric Dense Networks With mmWave
IEEE Access
User-centric dense networks
millimeter wave
Poisson point process
ergodic capacity
coverage probability
author_facet Jianfeng Shi
Cunhua Pan
Wence Zhang
Ming Chen
author_sort Jianfeng Shi
title Performance Analysis for User-Centric Dense Networks With mmWave
title_short Performance Analysis for User-Centric Dense Networks With mmWave
title_full Performance Analysis for User-Centric Dense Networks With mmWave
title_fullStr Performance Analysis for User-Centric Dense Networks With mmWave
title_full_unstemmed Performance Analysis for User-Centric Dense Networks With mmWave
title_sort performance analysis for user-centric dense networks with mmwave
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This paper focuses on the coverage probability and ergodic capacity for millimeter wave (mmWave) user-centric dense networks, where multiple access points (APs) consist of a virtual cell for each user equipment and transmit data with mmWave antennas cooperatively. All APs are distributed according to a homogeneous Poisson point process. Different from the low-frequency band (below 3 GHz), blockages have a non-negligible effect on mmWave band. To illustrate the effect, we utilize a line-of-sight probability function, which is dependent on the link-length. Then, via stochastic geometry, the expressions for coverage probability and ergodic capacity are derived, which accounts for: blockages, different small-scale fading distributions (Nakagami, Rayleigh, and no fading), and AP cooperation. In addition, we deduce the approximate expressions for coverage probability and ergodic capacity by using the noise-limited approximation. The numerical results validate our analytical expressions and show that the AP cooperation can provide high coverage performance and distinct capacity gain in a lower-AP-density region.
topic User-centric dense networks
millimeter wave
Poisson point process
ergodic capacity
coverage probability
url https://ieeexplore.ieee.org/document/8618407/
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