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Slicing capacity-centered mode selection and resource optimization for network-assisted full-duplex cell-free distributed massive MIMO systems

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Science China(Information Sciences) 2024年第1期67卷 203-220页

作者： Jie WANG Jiamin LI Pengcheng ZHU Dongming WANG Hongbiao ZHANG Yue HAO Bin SHENG National Mobile Communications research Laboratory Southeast University 2. Purple Mountain Laboratories China Mobile research Institute

Network-assisted full-duplex(NAFD) cell-free distributed massive multiple-input multipleoutput(MIMO) systems enable uplink(UL) and downlink(DL) communications within the same timefrequency resources,which potentially reduce latency by avoiding the overhead of switching UL/DL modes.However,how to choose UL/DL modes remains an important factor affecting system performance.With the dramatic increase in the number of users and access points(APs),massive access brings significant overhead in the mode selection.Additionally,the different quality of service(QoS) among users also makes the effective utilization of resources difficult.As one of the most promising technologies in sixth-generation(6G),network slicing enables the adaptive configuration of limited UL/DL resources through the resource isolation assisted NAFD technique.Therefore,we propose a slicing capacity-centered scheme.Under this scheme,APs are motivated by slicing requirements and associated slices to form different subsystems.Collaborative mode selection and resource allocation are performed within each subsystem to reduce overhead and improve resource utilization.To implement this scheme efficiently,a double-layer deep reinforcement learning(DRL)mechanism is used to realize the joint optimization of mode selection and resource allocation.Simulation results show that the slicing capacity-centered scheme can effectively improve resource utilization and reduce overhead.

关键词： network-assisted full-duplex network slicing mode selection resource optimization deep reinforcement learning

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Deep-Ensemble Learning Method for Solar Resource Assessment of Complex Terrain Landscapes

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Energy Engineering 2024年第5期121卷 1329-1346页

作者： Lifeng Li Zaimin Yang Xiongping Yang Jiaming Li Qianyufan Zhou Ping Yang Energy development research Institute China Southern Power GridGuangzhou510000China corporate Headquarters China Southern Power GridGuangzhou510000China Guangdong Green Energy Key Laboratory South China University of TechnologyGuangzhou510000China

As the global demand for renewable energy grows,solar energy is gaining attention as a clean,sustainable energy source.Accurate assessment of solar energy resources is crucial for the siting and design of photovoltaic power plants.This study proposes an integrated deep learning-based photovoltaic resource assessment method.Ensemble learning and deep learning methods are fused for photovoltaic resource assessment for the first time.The proposed method combines the random forest,gated recurrent unit,and long short-term memory to effectively improve the accuracy and reliability of photovoltaic resource assessment.The proposed method has strong adaptability and high accuracy even in the photovoltaic resource assessment of complex terrain and landscape.The experimental results show that the proposed method outperforms the comparison algorithm in all evaluation indexes,indicating that the proposed method has higher accuracy and reliability in photovoltaic resource assessment with improved generalization performance traditional single algorithm.

关键词： Photovoltaic resource assessment deep learning ensemble learning random forest gated recurrent unit long short-term memory

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An ensemble and cost-sensitive learning-based root cause diagnosis scheme for wireless networks with spatially imbalanced user data distribution

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Science China(Information Sciences) 2024年第7期67卷 331-332页

作者： Qi WANG Zhiwen PAN Nan LIU National Mobile Communications research Laboratory Southeast University Purple Mountain laboratories

Root cause diagnosis, a key component of self-healing, plays a vital role in fault management. The spatially imbalanced network key performance indicators (KPIs) reported by users increase the difficulty of identifying root causes.In [1,2], the image inpainting technique is inspired to address issues caused by sparse reports across the coverage area.

关键词： Wireless networks

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Beyond 600G fiber-THz wireless seamless integration system employing cascaded MIMO equalizers

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Science China Technological Sciences 2024年第7期67卷 2274-2276页

作者： DING JunJie TONG WeiDong LI XinTong ZHANG Zheng ZHANG Jiao CAI YuanCheng LEI MingZheng HUA BingChang CHEN XingYu YU JianJun ZHU Min Purple Mountain laboratories National Mobile Communications research Laboratory Southeast University Fudan University

Terahertz(THz)-wave communication, with sufficient spectrum resources(0.3 THz～10 THz), can meet the needs of future 6G large-capacity mobile communication services[1-9]. Recently, the seamless integration of existing...

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Reputation-based joint optimization of user satisfaction and resource utilization in a computing force network

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Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 685-700页

作者： Yuexia FU Jing WANG Lu LU Qinqin TANG Sheng ZHANG China Mobile research Institute Beijing 100053China Purple Mountain laboratories Nanjing 211111China China Mobile Communications Corporation Beijing 100033China

Under the development of computing and network convergence,considering the computing and network resources of multiple providers as a whole in a computing force network(CFN)has gradually become a new trend.However,since each computing and network resource provider(CNRP)considers only its own interest and competes with other CNRPs,introducing multiple CNRPs will result in a lack of trust and difficulty in unified scheduling.In addition,concurrent users have different requirements,so there is an urgent need to study how to optimally match users and CNRPs on a many-to-many basis,to improve user satisfaction and ensure the utilization of limited resources.In this paper,we adopt a reputation model based on the beta distribution function to measure the credibility of CNRPs and propose a performance-based reputation update model.Then,we formalize the problem into a constrained multi-objective optimization problem and find feasible solutions using a modified fast and elitist non-dominated sorting genetic algorithm(NSGA-II).We conduct extensive simulations to evaluate the proposed algorithm.Simulation results demonstrate that the proposed model and the problem formulation are valid,and the NSGA-II is effective and can find the Pareto set of CFN,which increases user satisfaction and resource utilization.Moreover,a set of solutions provided by the Pareto set give us more choices of the many-to-many matching of users and CNRPs according to the actual situation.

关键词： Computing force network Resource scheduling Performance-based reputation User satisfaction

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Modulated symbol-based one-time pad secure transmission scheme using physical layer keys

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Science China(Information Sciences) 2024年第1期67卷 221-239页

作者： Xiaoyan HU Zheng WAN Kaizhi HUANG Liang JIN Mengyao YAN Yajun CHEN Jinmei YANG Information Engineering University Purple Mountain laboratories for Network and Communication Security

This paper proposes a novel modulated symbols-based one-time pad(SOTP) secure transmission scheme using physical layer keys.Unlike classical physical layer key generation and exclusive OR(XOR)encryption in the discrete binary space,we design a framework for modulated symbols-based one-time pad(OTP) encryption,where the cryptographic primitive and mathematical model of SOTP is given to build a practical cryptographic protocol.Compared with existing physical layer encryption(PLE) schemes,we provide rigorous proof that the framework can meet perfect secrecy and correctness requirements.In addition,we provide a specific scheme of physical layer OTP secure transmission for quadrature amplitude modulation(QAM) and phase-shift keying(PSK) symbols based on physical layer keys.This scheme realizes the unification of bit encryption and symbol encryption,which can adaptively select the quantization level according to the signal-to-noise ratio(SNR) to minimize the symbol error rate(SER).Further,we analyze the performance quantitatively and derive the closed-form expressions of SER,which indicates that the proposed scheme has a lower SER.Finally,simulation results verify that the proposed symbol-wise OTP secure transmission scheme can achieve perfect secrecy and high reliability.

关键词： physical layer security one-time pad wireless channel physical layer encryption perfect secrecy

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m^(6)A reader YTHDF1 promotes cardiac fibrosis by enhancing AXL translation

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Frontiers of Medicine 2024年第3期18卷 499-515页

作者： Han Wu Weitao Jiang Ping Pang Wei Si Xue Kong Xinyue Zhang Yuting Xiong Chunlei Wang Feng Zhang Jinglun Song Yang Yang Linghua Zeng Kuiwu Liu Yingqiong Jia Zhuo Wang Jiaming Ju Hongtao Diao Yu Bian Baofeng Yang Department of Pharmacology(National Key Laboratory of Frigid Zone Cardiovascular Diseases the State-Province Key Laboratories of Biomedicine-Pharmaceutics of ChinaKey Laboratory of Cardiovascular ResearchMinistry of Education)College of PharmacyHarbin Medical UniversityHarbin150081China

Cardiac fibrosis caused by ventricular remodeling and dysfunction such as post-myocardial infarction(MI)can lead to heart failure.RNA N6-methyladenosine(m^(6)A)methylation has been shown to play a pivotal role in the occurrence and development of many illnesses.In investigating the biological function of the m^(6)A reader YTHDF1 in cardiac fibrosis,adeno-associated virus 9 was used to knock down or overexpress the YTHDF1 gene in mouse hearts,and MI surgery in vivo and transforming growth factor-β(TGF-β)-activated cardiac fibroblasts in vitro were performed to establish fibrosis models.Our results demonstrated that silencing YTHDF1 in mouse hearts can significantly restore impaired cardiac function and attenuate myocardial fibrosis,whereas YTHDF1 overexpression could further enhance cardiac dysfunction and aggravate the occurrence of ventricular pathological remodeling and fibrotic development.Mechanistically,zinc finger BED-type containing 6 mediated the transcriptional function of the YTHDF1 gene promoter.YTHDF1 augmented AXL translation and activated the TGF-β-Smad2/3 signaling pathway,thereby aggravating the occurrence and development of cardiac dysfunction and myocardial fibrosis.Consistently,our data indicated that YTHDF1 was involved in activation,proliferation,and migration to participate in cardiac fibrosis in vitro.Our results revealed that YTHDF1 could serve as a potential therapeutic target for myocardial fibrosis.

关键词： cardiac fibrosis YTHDF1 AXL ZBED6 heart failure

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miR-429-3p mediates memory decline by targeting MKP-1 to reduce surface GluA1- containing AMPA receptors in a mouse model of Alzheimer’s disease

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Acta Pharmaceutica Sinica B 2024年第2期14卷 635-652页

作者： Man Luo Yayan Pang Junjie Li Lilin Yi Bin Wu Qiuyun Tian Yan He Maoju Wang Lei Xia Guiqiong He Weihong Song Yehong Du Zhifang Dong Pediatric research Institute Ministry of Education Key Laboratory of Child Development and DisordersNational Clinical Research Center for Child Health and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory DisordersChildren’s Hospital of Chongqing Medical UniversityChongqing 400014China Department of Anatomy Basic Medical CollegeChongqing Medical UniversityChongqing 400016China Townsend Family laboratories Department of PsychiatryThe University of British ColumbiaVancouver BC V6T 1Z3Canada Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Institute of AgingKey Laboratory of Alzheimer’s Disease of Zhejiang ProvinceZhejiang Clinical Research Center for Mental DisordersSchool of Mental Health and the Affiliated Kangning HospitalWenzhou Medical UniversityWenzhou 325000China Institute for Brain Science and Disease of Chongqing Medical University Chongqing 400016China

Alzheimer ’s disease(AD) is a leading cause of dementia in the elderly.Mitogen-activated protein kinase phosphatase 1(MKP-1) plays a neuroprotective role in AD.However,the molecular mechanisms underlying the effects of MKP-1 on AD have not been extensively studied.MicroRNAs(miRNAs) regulate gene expression at the post-transcriptional level,thereby repressing mRNA translation.Here,we reported that the microRNA-429-3p(miR-429-3p) was significantly increased in the brain of APP23/PS45 AD model mice and N2AAPPAD model cells.We further found that miR-429-3p could downregulate MKP-1 expression by directly binding to its 3’-untranslated region(3’ UTR).Inhibition of miR-429-3p by its antagomir(A-miR-429) restored the expression of MKP-1 to a control level and consequently reduced the amyloidogenic processing of APP and Aβ accumulation.More importantly,intranasal administration of A-miR-429 successfully ameliorated the deficits of hippocampal CA1 long-term potentiation and spatial learning and memory in AD model mice by suppressing extracellular signal-regulated kinase(ERK1/2)-mediated GluAl hyperphosphorylation at Ser831 site,thereby increasing the surface expression of GluAl-containing α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors(AMPARs).Together,these results demonstrate that inhibiting miR-429-3p to upregulate MKP-1 effectively improves cognitive and synaptic functions in AD model mice,suggesting that miR-429/MKP-1 pathway may be a novel therapeutic target for AD treatment.

关键词： Alzheimer's disease MKP-1 miR-429-3p AMPAreceptor Learning and memory Long-term potentiation

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Deep learning for joint channel estimation and feedback in massive MIMO systems

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Digital Communications and Networks 2024年第1期10卷 83-93页

作者： Jiajia Guo Tong Chen Shi Jin Geoffrey Ye Li Xin Wang Xiaolin Hou National Mobile Communications research Laboratory Southeast UniversityNanjing210096China Department of Electrical and Electronic Engineering Imperial College LondonLondonSW72AZUK DOCOMO Beijing Communications laboratories Co. LtdBeijingChina

The great potentials of massive Multiple-Input Multiple-Output(MIMO)in Frequency Division Duplex(FDD)mode can be fully exploited when the downlink Channel State Information(CSI)is available at base stations.However,the accurate CsI is difficult to obtain due to the large amount of feedback overhead caused by massive antennas.In this paper,we propose a deep learning based joint channel estimation and feedback framework,which comprehensively realizes the estimation,compression,and reconstruction of downlink channels in FDD massive MIMO systems.Two networks are constructed to perform estimation and feedback explicitly and implicitly.The explicit network adopts a multi-Signal-to-Noise-Ratios(SNRs)technique to obtain a single trained channel estimation subnet that works well with different SNRs and employs a deep residual network to reconstruct the channels,while the implicit network directly compresses pilots and sends them back to reduce network parameters.Quantization module is also designed to generate data-bearing bitstreams.Simulation results show that the two proposed networks exhibit excellent performance of reconstruction and are robust to different environments and quantization errors.

关键词： Channel estimation CSI feedback Deep learning Massive MIMO FDD

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Contactin-associated protein-like 2(CNTNAP2)mutations impair the essentialα-secretase cleavages,leading to autism-like phenotypes

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1625-1636页

作者： Qing Zhang Mengen Xing Zhengkai Bao Lu Xu Yang Bai Wanqi Chen Wenhao Pan Fang Cai Qunxian Wang Shipeng Guo Jing Zhang Zhe Wang Yili Wu Yun Zhang Jia-Da Li Weihong Song Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Zhejiang Key Laboratory of Alzheimer's DiseaseZhejiang Provincial Clinical Research Center for Mental DisordersSchool of Mental Health and Wenzhou Kangning HospitalThe Second Affiliated Hospital and Yuying Children's HospitalInstitute of AgingWenzhou Medical UniversityWenzhouZhejiang 325035China Townsend Family laboratories Department of PsychiatryBrain Research CenterThe University of British Columbia2255 Wesbrook MallVancouverBC V6T 1Z3Canada Chongqing Key Laboratory of Translational Medical research in Cognitive development and Learning and Memory Disorders Ministry of Education Key Laboratory of Child Development and DisordersChildren's Hospital of Chongqing Medical UniversityChongqing 400014China Center for Medical Genetics Hunan Key Laboratory of Animal Models for Human DiseasesHunan Key Laboratory of Medical GeneticsHunan International Scientific and Technological Cooperation Base of Animal Models for Human DiseasesSchool of Life SciencesCentral South UniversityChangsha 410078 HunanChina The National Clinical research Center for Geriatric Disease Xuanwu HospitalCapital Medical UniversityBeijing 100053Chin

Mutations in the Contactin-associated protein-like 2(CNTNAP2)gene are associated with autism spectrum disorder(ASD),and ectodomain shedding of the CNTNAP2 protein plays a role in its function.However,key enzymes involved in the C-terminal cleavage of CNTNAP2 remain largely unknown,and the effect of ASD-associated mutations on this process and its role in ASD pathogenesis remain elusive.In this report we showed that CNTNAP2 undergoes sequential cleavages by furin,ADAM10/17-dependent a-secretase and presenilindependent y-secretase.We identified that the cleavage sites of ADAM10 and ADAM17 in CNTNAP2 locate at its C-terminal residue I79 and L96,and the main a-cleavage product C79 by ADAM10 is required for the subsequent y-secretase cleavage to generate CNTNAP2 intracellular domain(CICD).ASD-associated CNTNAP2 mutations impair the a-cleavage to generate C79,and the inhibition leads to ASDIlike repetitive and social behavior abnormalties in the Cntnap2l1254T knock-in mice.Finaly,exogenous expression of 79 improves autism-ike phenotypes in the Cntnap2^(11254T) knock-in and Cntnap2^(-/-)knockout mice.This data demonstrates that the a-secretase is essential for CNTNAP2 processing and its function.Our study indicates that inhibition of the cleavage by pathogenic mutations underlies ASD pathogenesis,and upregulation of its C-terminal fragments could have therapeutical potentials for ASD treatment.

关键词： NAP2 cleavage subsequent

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