Intelligent Reflecting Surface Placement Optimization in Air-Ground Communication Networks Toward 6G
| Autor: | Nei Kato, Yuichi Kawamoto, Hiroaki Hasluda |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 020206 networking & telecommunications 02 engineering and technology Telecommunications network Computer Science Applications Cellular communication Base station Radio propagation 0202 electrical engineering electronic engineering information engineering Cellular network Wireless Network performance Electrical and Electronic Engineering business Data transmission Computer network |
| Zdroj: | IEEE Wireless Communications. 27:146-151 |
| ISSN: | 1558-0687 1536-1284 |
| Popis: | Intelligent reflecting surfaces (IRSs) have emerged as a key enabler for beyond fifth-generation (B5G) communication technology and for realizing sixth-generation (6G) cellular communication. In addition, B5G and 6G networks are expected to support aerial user communications in accordance with the expanded requirements of data transmission for an aerial user. However, there are challenges in providing wireless communication for aerial users owing to the different radio wave propagation properties between terrestrial areas and aerial areas. In this article, we propose an IRS-aided cellular network coverage extension for aerial users. In our proposed network, IRS and base stations (BSs) cooperate with each other to provide air-ground communication to aerial users (AUs), the aim of which is to prevent interference signals from spreading to a wide area. Furthermore, IRS placement is designed to maximize the network performance in terms of the spatial signal-to-interference-plus-noise ratio (SINR) while mitigating inter-cell interference. Numerical analysis results indicate that the proposed IRS-aided network outperforms the benchmark system without IRSs when the IRS installation positions are optimally determined. |
| Databáze: | OpenAIRE |
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