Channel Estimation using Temporal Convolutional Networks for V2X Communications

Juan D. Jovane, Chia Han Lee

研究成果: Conference contribution同行評審

摘要

To achieve satisfactory performance in vehicle-to-everything (V2X) communications, it is paramount to accurately estimate the channel. The traditional data-pilot aided (DPA) scheme and the variation of DPA, e.g., spectral temporal averaging (STA), have been adopted for IEEE 802.11p due to their low complexity, but their performances are not satisfactory. The more recently proposed time domain reliable test frequency domain interpolation (TRFI) scheme only marginally improves the performance. Deep neural network (DNN)-based estimators, e.g., STA-DNN and TRFI-DNN, have substantially improved the channel estimation, and the long short-term memory (LSTM)-based estimators, such as LSTM-DPA-TA and LSTM-MLP-DPA, achieve the state-of-the-art performance. LSTM-based estimators, however, have high computational complexity. In this paper, we propose a novel channel estimator that leverages temporal convolutional networks (TCNs) combined with the DPA procedure to estimate and track channel variations. Simulations on realistic V2X scenarios show that the proposed TCN-DPA channel estimation scheme outperforms existing methods in almost all V2X scenarios. The proposed estimator has about one order of magnitude improvement in terms of bit error rate compared to LSTM-based estimators. By exploiting the parallelism inherent in the TCN architecture, the computational complexity of the proposed TCN-DPA estimator is 40% and 47% lower than LSTM-DPA-TA and LSTM-MLP-DPA, respectively. Moreover, the training time of TCN-DPA is only 52% and 42% of the time of LSTM-DPA-TA and LSTM-MLP-DPA, respectively.

原文English
主出版物標題ICC 2023 - IEEE International Conference on Communications
主出版物子標題Sustainable Communications for Renaissance
編輯Michele Zorzi, Meixia Tao, Walid Saad
發行者Institute of Electrical and Electronics Engineers Inc.
頁面565-570
頁數6
ISBN(電子)9781538674628
DOIs
出版狀態Published - 2023
事件2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy
持續時間: 28 5月 20231 6月 2023

出版系列

名字IEEE International Conference on Communications
2023-May
ISSN(列印)1550-3607

Conference

Conference2023 IEEE International Conference on Communications, ICC 2023
國家/地區Italy
城市Rome
期間28/05/231/06/23

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