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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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/ |
work_keys_str_mv |
AT jianfengshi performanceanalysisforusercentricdensenetworkswithmmwave AT cunhuapan performanceanalysisforusercentricdensenetworkswithmmwave AT wencezhang performanceanalysisforusercentricdensenetworkswithmmwave AT mingchen performanceanalysisforusercentricdensenetworkswithmmwave |
_version_ |
1724191251801047040 |