講演抄録/キーワード |
講演名 |
2023-03-13 10:40
Channel Polarization State Prediction Using Phasor Quaternion Neural Networks in Wireless Communications ○Anzhe Ye・Haotian Chen・Ryo Natsuaki・Akira Hirose(東大) NC2022-91 |
抄録 |
(和) |
Fading channel compensation requires higher accuracy channel prediction. In this paper, we propose a fading channel prediction method using phasor quaternion neural networks (PQNNs) to predict the polarization states, with phase information involved to enhance the channel compensation ability as well. We evaluate the performance of the proposed prediction technique in two different fading situations in an actual communication environment and prove that it has relatively higher performance compared to the conventional methods. |
(英) |
Fading channel compensation requires higher accuracy channel prediction. In this paper, we propose a fading channel prediction method using phasor quaternion neural networks (PQNNs) to predict the polarization states, with phase information involved to enhance the channel compensation ability as well. We evaluate the performance of the proposed prediction technique in two different fading situations in an actual communication environment and prove that it has relatively higher performance compared to the conventional methods. |
キーワード |
(和) |
Channel prediction / phasor quaternion / polarization state / / / / / |
(英) |
Channel prediction / phasor quaternion / polarization state / / / / / |
文献情報 |
信学技報, vol. 122, no. 425, NC2022-91, pp. 1-6, 2023年3月. |
資料番号 |
NC2022-91 |
発行日 |
2023-03-06 (NC) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
NC2022-91 |