Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Longquan Dai"'
Autor:
Hanwen Luo, Ziheng Zhang, Longquan Dai, Linsheng Zhong, Qi Yang, Lei Deng, Deming Liu, Xiaoxiao Dai, Xiaojing Gao, Mengfan Cheng
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-10 (2024)
Abstract Data security is a key feature of future communications networks. Physical layer introduces rich physical mechanisms to increase the complexity of deciphering and provides extensive protection, but faces challenges in compatibility with comm
Externí odkaz:
https://doaj.org/article/b114b9361abc4417a76ea05148f7066a
Ultra-Compact 1 × 4 Optical Power Splitter Based on Variable-Length Segment Optimized Inverse Design
Autor:
Yongchen Wang, Hangming Fan, Zhe Yuan, Junlin Pan, Longquan Dai, Qi Yang, Mengfan Cheng, Ming Tang, Deming Liu, Lei Deng
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 6, Pp 1-8 (2024)
Fixed-length segment (FLS) optimization method offers a way to realize the high-efficiency analog inverse design of nanophotonic devices. However, due to the limitation of the variable dimensions and restricted search space, this method can hard to s
Externí odkaz:
https://doaj.org/article/11bab24dfad141c998a5b61f4c3957d7
Autor:
Longquan Dai, Ziheng Zhang, Zicai Cao, Shuchang Yao, Tianming Li, Yudi Fu, Jing Dai, Yaqin Wang, Ming Luo, Xi Xiao, Mengfan Cheng, Qi Yang, Ming Tang, Deming Liu, Lei Deng
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-10 (2024)
Abstract For 800 Gbps/λ and beyond optical transmission systems, frequency-dependent impairments (FDI) degrade coherent optical transceiver (CO-TRx) performance severely. Calibration and compensation of such FDI in factories includes amplitude/phase
Externí odkaz:
https://doaj.org/article/35b44c0ee16f459fa04f3eb196a8d2ec
Autor:
Xiaoyang Liu, Longquan Dai, Chuanming Huang, Mengfan Cheng, Qi Yang, Ming Tang, Deming Liu, Lei Deng
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 6, Pp 1-9 (2022)
We have proposed and experimentally demonstrated a high-speed and point-to-multipoint (P2MP) mobile fronthaul (MFH) downstream system based on the code-division multiplexing (CDM) and self-homodyne coherent (SHC) technologies. We find that compared w
Externí odkaz:
https://doaj.org/article/3c14ffab748b41d68424040b38f6dd5d
Deep network compression has been achieved notable progress via knowledge distillation, where a teacher-student learning manner is adopted by using predetermined loss. Recently, more focuses have been transferred to employ the adversarial training to
Externí odkaz:
http://arxiv.org/abs/1904.05100
Autor:
Chuanming Huang, Haiping Song, Longquan Dai, Mengfan Cheng, Qi Yang, Ming Tang, Deming Liu, Lei Deng
Publikováno v:
Journal of Lightwave Technology. 40:5490-5501
Autor:
Chen Hong, LongQuan Dai
Publikováno v:
Multimedia Systems. 28:1667-1677
Autor:
Longquan Dai, Chuanming Huang, Deming Liu, Ming Tang, Lei Deng, Yu Yang, Hongyu Li, Haiping Song, Di Li, Mengfan Cheng, Qi Yang
Publikováno v:
Journal of Lightwave Technology. 40:1043-1054
High precise IQ skew calibration of the coherent optical transceiver is crucial for high baud rate and high-order modulation formats optical transmission system. In this paper, a novel high precise optical coherent transceiver calibration method base
Autor:
Longquan Dai, Shuchang Yao, Ziheng Zhang, Jing Dai, Ming Luo, Xi Xiao, Yaqin Wang, Qi Yang, Ming Tang, Deming Liu, Lei Deng
Publikováno v:
2023 Optical Fiber Communications Conference and Exhibition (OFC).
We report a calibration method to simultaneously characterize all the frequency-dependent impairments of coherent optical transceivers. With calibration operation, dual-polarization 96GBaud Nyquist-16QAM signal transmission is achieved by using a sil
Autor:
Zicai Cao, Shuchang Yao, Longquan Dai, Ziheng Zhang, Jing Dai, Ming Luo, Xi Xiao, Yaqin Wang, Qi Yang, Deming Liu, Lei Deng
Publikováno v:
2023 Optical Fiber Communications Conference and Exhibition (OFC).
We experimentally demonstrate a neural network equalizer with robustness for noisy samples on a silicon photonics coherent transceiver, and a complexity reduction is over 50% at the BER of 1.25e-2 compared with a general NNLE.