Overlapped universal filtered multicarrier system for uplink wireless communication

Universal filtered multicarrier (UFMC) is a promising new waveform that eliminates cyclic prefix and performs filtering on a chunk of successive subcarriers. Therefore, it is suitable for applications with requirements on high spectral efficiency and low latency. However, the limited bandwidth may be an obstacle for reliable communication in frequency selective channels. This paper proposes a new transmitter structure for uplink wireless communication system based on UFMC waveform. The basic idea is to allow a user to transmit its information on more than one subband simultaneously, increasing its robustness against frequency selectivity. To eliminate the multiuser interference brought by the overlapped transmission strategy, an iterative receiver with parallel interference cancellation is designed. Rate analysis is provided to reveal the rationale of the proposed scheme. Simulations on the symbol error rate performance are conducted to validate the transceiver design. It is found that the proposed scheme outperforms existing UFMC design without sacrificing any other performance metrics with only moderately increased complexity.     

Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey

How to explore and exploit the full potential of artificial intelligence(AI)technologies in future wireless communications such as beyond 5G(B5G)and 6G is an extremely hot inter-disciplinary research topic around the world.On the one hand,AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities.On the other hand,embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks.This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective,not only considering the radio resource(e.g.,spectrum)management but also other types of resources such as computing and caching.We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks.     

面向大规模天线系统的稀布阵技术研究与评估

通过大量天线数服务用户,大规模天线技术可有效提升频谱效率。然而,大规模天线将带来射频链路数量的大幅增加,进而带来成本的急剧提升,所以大规模天线的设计需要综合考虑性能和成本的折中。稀布阵技术通过优化天线阵元位置分布、激励幅度,可实现以更少的天线数逼近均匀阵列的性能,从而带来射频链路数量的降低和成本的控制,取得较好的性价比平衡。介绍了稀布阵关键技术的实现方案,评估分析了稀布阵的链路级性能以及在面向6G的大规模天线系统中应用稀布阵的系统性能。数据分析表明,稀布阵在小幅性能损失的情况下,可以显著降低天线阵元数,节约基站设备成本。     

Weight asynchronous update: Improving the diversity of filters in a deep convolutional network

Computational Visual Media - Deep convolutional networks have obtained remarkable achievements on various visual tasks due to their strong ability to learn a variety of features. A well-trained...     

Iterative Identification Algorithms for Bilinear-in-parameter Systems by Using the Over-parameterization Model and the Decomposition

This paper focuses on the identification problem for a class of bilinear-in-parameter systems with an additive noise modeled by an autoregressive moving average process. By using the over-parameterization model, the special form of the bilinear term can be obtained by the model equivalent transformation. Then, we use a decomposition of the model into two synthetic models in order to separate the effect of the two sets of parameters, i.e., the coefficients of the nonlinear basis functions from the parameters of the colored noise. Moreover, two decomposition based iterative algorithms are proposed to identify the unknown parameters. A numerical example is presented to confirm the effectiveness of the proposed methods.     

A Centimeter‐Scale Inorganic Nanoparticle Superlattice Monolayer with Non‐Close‐Packing and its High Performance in Memory Devices

Due to the near‐field coupling effect, non‐close‐packed nanoparticle (NP) assemblies with tunable interparticle distance (d) attract great attention and show huge potential applications in various functional devices, e.g., organic nano‐floating‐gate memory (NFGM) devices. Unfortunately, the fabrication of device‐scale non‐close‐packed 2D NPs material still remains a challenge, limiting its practical applications. Here, a facile yet robust “rapid liquid–liquid interface assembly” strategy is reported to generate a non‐close‐packed AuNP superlattice monolayer (SM) on a centimeter scale for high‐performance pentacene‐based NFGM. The d and hence the surface plasmon resonance spectra of SM can be tailored by adjusting the molecular weight of tethered polymers. Precise control over the d value allows the successful fabrication of photosensitive NFGM devices with highly tunable performances from short‐term memory to nonvolatile data storage. The best performing nonvolatile memory device shows remarkable 8‐level (3‐bit) storage and a memory ratio over 10⁵ even after 10 years compared with traditional devices with a AuNP amorphous monolayer. This work provides a new opportunity to obtain large area 2D NPs materials with non‐close‐packed structure, which is significantly meaningful to microelectronic, photovoltaics devices, and biochemical sensors.     

碳纤维增强环氧树脂基复合材料低温改性研究进展

随着航天、应用超导技术和大型低温工程等高科技的迅猛发展,高性能碳纤维增强环氧树脂基复合材料在低温下的应用愈来愈受到人们的重视。论文综述了近年来碳纤维增强环氧树脂基复合材料低温改性的研究进展,并展望了其未来的发展方向。     

On selection of optimal cuts in complete multi-scale decision tables

In this paper, a novel optimal scale selection method in complete multi-scale decision tables has been proposed. Unlike the existing approaches in the literature, we employ the tools of granularity trees and cuts for each attribute. Each granularity tree has many different local cuts, which represent various scale selection methods under a specific attribute. Different local cuts collectively forms a global cut of a multi-scale information table, which in turn induces an information table with a mixed scale. One distinct feature of such tables is that the attribute values of different objects may be obtained at different scales for the same attribute. By keeping maximal consistency of the derived mixed-scale decision table, we introduce the notions of optimal cuts in multi-scale decision tables. Then, a comparative study between different types of optimal scale selection methods is performed. Finally, an algorithm is designed to verify the validity of the proposed approach.

     

仓储电子标签辅助拣货系统的研究与设计

介绍了一种电子标签辅助拣货系统,提出了分层分级的设计思想,为大型仓储快速拣货的需要提供了可行的解决方案.设计了中间控制层和终端电子标签,系统通过RS485通信,指令数据传输稳定,通信距离远.     

微生物替代蛋白生物制造:进展与展望

食物蛋白是人类最重要的营养素。然而，现有的蛋白质获取大量依赖于养殖业，存在环境污染较严重、土地占用和水耗较多的问题，难以满足人口持续增长和生活水平不断提升带来的对蛋白质需求的增长。微生物蛋白可利用更少的资源产出更多的蛋白质来源，具有制造效率高并且二氧化碳排放少的优势。作为重要的替代蛋白，微生物蛋白的高效制造和规模化应用是实现可持续蛋白供给的重要途径。本文首先分析微生物蛋白对可持续蛋白供给的重要作用；其次，总结微生物蛋白生物制造进展；最后，对微生物蛋白重点研究方向进行展望。微生物蛋白高效生物制造技术的开发和规模化应用将为解决蛋白质资源重大问题提供重要支撑。