Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 67, Issue 11, Pages 8151-8164Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2019.2939802
Keywords
Heterogeneous cellular networks; Sub-6GHz; millimeter wave; Poisson point process; Poisson cluster process
Funding
- National Natural Science Foundation of China [61771054]
- US MURI AFOSR MURI [18RT0073]
- NSF [EARS-1839818, CNS-1717454, CNS-1731424, CNS-1702850, CNS-1646607]
- A*STAR-NTU-SUTD Joint Research Grant Call on Artificial Intelligence for the Future of Manufacturing [RGANS1906]
- WASP/NTU [M4082187 (4080)]
- Singapore MOE Tier 1 [2017-T1-002-007 RG122/17]
- Singapore MOE Tier 2 [MOE2014-T2-2-015 ARC4/15]
- Singapore NRF2015 [NRF-ISF001-2277]
- Singapore EMA Energy Resilience [NRF2017EWT-EP003-041]
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Deploying Sub-6GHz networks together with millimeter wave (mmWave) is a promising solution to achieve high data rates in traffic hotspots while guaranteeing sufficient coverage, where mmWave small cells are densely deployed to provide high quality of service. In this paper, we propose an analytical framework to investigate the integrated Sub-6GHz-mmWave cellular networks, in which the Sub-6GHz base stations (BSs) are modeled as a Poisson point process, and the mmWave BSs are clustered following a Poisson cluster process in traffic hotspots. We conduct stochastic geometry-based analysis and derive the performance metrics including the association probability, signal-to-interference-plus-noise ratio coverage probability and average achievable rate, which are validated to be accurate by Monte Carlo simulations. We analyze the impact of various deployment parameters on the network performance to give insights on the network design. In particular, it is shown that deploying mmWave small cells in traffic hotspots will outperform both traditional Sub-6GHz heterogeneous network and isolated mmWave system in terms of the coverage probability. It can also be shown that extremely high and extremely small association weight for mmWave BSs will deteriorate the performance for cell edge users and cell interior users, respectively. Moreover, there exists an optimal pre-decided dispersion parameter of mmWave BSs that contributes to the maximum coverage probability.
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