Energy Efficiency of Multiuser Multiantenna Random Cellular Networks With Minimum Distance Constraints
| Autor: | Bangzheng Du, Diomidis S. Michalopoulos, Xiaohu Ge, Qiang Li |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer Networks and Communications
Wireless network MIMO Aerospace Engineering 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Spectral efficiency Topology Precoding Point process 0203 mechanical engineering Automotive Engineering Poisson point process 0202 electrical engineering electronic engineering information engineering Cellular network Electronic engineering Fading Electrical and Electronic Engineering Computer Science::Information Theory Mathematics |
| Zdroj: | IEEE Transactions on Vehicular Technology. 66:1696-1708 |
| ISSN: | 1939-9359 0018-9545 |
| Popis: | Compared with conventional regular hexagonal cellular models, random cellular network models resemble real cellular networks much more closely. However, most studies of random cellular networks are based on the Poisson point process (PPP) and do not take into account the fact that adjacent base stations (BSs) should be separated with a minimum distance to avoid strong interference among each other. In this paper, based on the hard-core point process (HCPP), we propose a multiuser multiantenna random cellular network model with the aforementioned minimum distance constraint for adjacent BSs. Taking into account the effects of small-scale fading and shadowing, interference and capacity models are derived for the multiuser multiantenna HCPP random cellular networks. Furthermore, a spectrum efficiency model and an energy efficiency model are presented, and based on this, the maximum achievable energy efficiency of the considered multiuser multiantenna HCPP random cellular networks is investigated. Simulation results demonstrate that the energy efficiency of conventional PPP cellular networks is underestimated when the minimum distance between adjacent BSs is ignored. |
| Databáze: | OpenAIRE |
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