Randomly Arranged Scatterers Monte-Carlo Simulation for a Large-Scale MIMO Antenna
| Autor: | Taiki Fukushima, Koichi Ogawa, Kazuhiro Honda, Nana Narukawa |
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| Rok vydání: | 2019 |
| Předmět: |
Scale (ratio)
Computer science Small number 020208 electrical & electronic engineering MIMO Monte Carlo method Mimo antenna 020206 networking & telecommunications 02 engineering and technology Topology Channel models Matrix (mathematics) 0202 electrical engineering electronic engineering information engineering Computer Science::Information Theory Communication channel |
| Zdroj: | 2019 IEEE Asia-Pacific Microwave Conference (APMC). |
| Popis: | There are some difficulties in a Monte-Carlo simulation when it is used for simulating a large-scale MIMO antenna. In a conventional Monte-Carlo simulation, the scatterers are arranged at regular intervals on a circle. The number of scatterers required for simulating a large-scale MIMO antenna is more than the number of subchannels to fulfil the full-rank property of channel matrices. This fact indicates that to simulate a 256 × 256 MIMO we must implement more than 256 scatterers in the channel model, resulting in a significant increase in calculation time. To overcome this difficulty, this paper presents a method of analyzing a large-scale MIMO antenna, in which the scatterers are arranged randomly on a circle, which results in the full-rank status of a channel matrix. Due to a small number of scatterers, a calculation time required for the simulation is much shorter than that of a conventional Monte-Carlo simulation arranged at regular intervals. |
| Databáze: | OpenAIRE |
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