二、地 点：清水河校区科研1号楼 科B302
For optical field recovery and linear dispersion compensation, this talk shows a performance-enhanced linearization algorithm, termed adaptive hybrid multi-constraint iteration algorithm (MCIA), which does not require any physical modifications to standard configurations of intensity-modulation and direct-detection (IM/DD) transmission systems. To improve the sensitivity to the residual inter-symbol interference (ISI) effect, we introduce, after fiber backward-propagation, a linear feed-forward equalizer (FFE) pair into the proposed algorithm. To improve the sensitivity to fiber dispersion estimation errors, we utilize a two-stage dispersion estimator coupled with the G-S iteration. After 100-Gb/s PAM-4 signal transmissions over 400-km fibers, the simulation results show that the MCIA offers an 1.5-dB optical signal-to-noise ratio (OSNR) gain and an 1-dB optical power budget improvement compared with the decision-directed data-aided iterative algorithm (DD-DIA), for highly dispersive IM/DD transmissions. By performing adaptive dispersion estimation, the MCIA has higher tolerance to estimation errors in fiber length. Moreover, for cases subject to large dispersion, the usage of the embedded FFE pair not only desensitizes the MCIA on the limited bandwidth effect, but also accelerates the convergence performance for reaching lower BERs. We experimentally demonstrate that the proposed algorithm can support 150-Gb/s PAM-4 transmissions over 25-km standard single mode fibers (SSMF), where just a 7-tap FFE-pair is required. For 150 Gb/s transmissions, the tolerance to fiber length estimation error is increased from 0.9 km to 20 km.
Shaohua Hu is a post-doc majored in signal processing. She obtained bachelor’s degree in communication engineering in UESTC, then performed PhD research in communication and information systems and advised by Prof. Kun Qiu in UESTC. Her research interests include High speed optical transmission system design&analysis and communication signal processing.
（2）主讲人： 谭腾 信息与通信工程学院博士后
（1）主 题：Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA
Radio frequency (RF) signals can be relied upon for conventional wireless information transfer (WIT) and for challenging wireless power transfer (WPT), which triggers the significant research interest in the topic of simultaneous wireless information and power transfer (SWIPT). By further exploiting the advanced non-orthogonal-multiple-access (NOMA) technique, we are capable of improving the spectrum efficiency of the resource-limited SWIPT system. In our SWIPT system, a hybrid access point (H-AP) superimposes the modulated symbols destined to multiple WIT users by exploiting the power-domain NOMA, while WPT users are capable of harvesting the energy carried by the superposition symbols. In order to maximise the amount of energy transferred to the WPT users, we propose a joint design of the energy interleaver and the constellation rotation based modulator in the symbol-block level by constructively superimposing the symbols destined to the WIT users in the power domain. Furthermore, a transmit power allocation scheme is proposed to guarantee the symbol-error-ratio (SER) of all the WIT users. By considering the sensitivity of practical energy harvesters, the simulation results demonstrate that our scheme is capable of substantially increasing the WPT performance without any remarkable degradation of the WIT performance.
Yizhe Zhao received the Ph.D. degree from School of Information and Communication Engineering in University of Electronic Science and Technology of China (UESTC), where he won the most outstanding student award. He holds a post-doctoral position with UESTC. He has also been a Visiting Researcher with the Department of Electrical and Computer Engineering, University of California, Davis, USA. He serves for China Communications as the guest editor of the special issue ``Energy Self-Sustainability in 6G''. He is also a TPC member of several prestigious IEEE conferences, such as IEEE ICC. His research interests include wireless communications and resource management for B5G and 6G, wireless information and energy provision, joint communication and control.
编辑：林坤 / 审核：林坤 / 发布：陈伟