Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks

In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver uses interference cancellation.Unfortunately,uncoordinated radio resource allocation can reduce system throughput and lead to user inequity,for this reason,in this paper,channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable rate.Since the construction model is non-convex and the response variables are high-dimensional,a distributed Deep Reinforcement Learning(DRL)framework called distributed Proximal Policy Optimization(PPO)is proposed to allocate or assign resources.Specifically,several simulated agents are trained in a heterogeneous environment to find robust behaviors that perform well in channel assignment and power allocation.Moreover,agents in the collection stage slow down,which hinders the learning of other agents.Therefore,a preemption strategy is further proposed in this paper to optimize the distributed PPO,form DP-PPO and successfully mitigate the straggler problem.The experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.

Improving throughput in SWIPT-based wireless multirelay networks with relay selection and rateless codes

This paper studies a dual-hop Simultaneous Wireless Information and Power Transfer(SWIPT)-based multi-relay network with a direct link.To achieve high throughput in the network,a novel protocol is first developed,in which the network can switch between a direct transmission mode and a Single-Relay-Selection-based Cooperative Transmission(SRS-CT)mode that employs dynamic decode-and-forward relaying accomplished with Rateless Codes(RCs).Then,under this protocol,an optimization problem is formulated to jointly optimize the network operation mode and the resource allocation in the SRS-CT mode.The formulated problem is difficult to solve because not only does the noncausal Channel State Information(CSI)cause the problem to be stochastic,but also the energy state evolution at each relay is complicated by network operation mode decision and resource allocation.Assuming that noncausal CSI is available,the stochastic optimization issue is first to be addressed by solving an involved deterministic optimization problem via dynamic programming,where the complicated energy state evolution issue is addressed by a layered optimization method.Then,based on a finite-state Markov channel model and assuming that CSI statistical properties are known,the stochastic optimization problem is solved by extending the result derived for the noncausal CSI case to the causal CSI case.Finally,a myopic strategy is proposed to achieve a tradeoff between complexity and performance without the knowledge of CSI statistical properties.The simulation results verify that our proposed SRS-and-RC-based design can achieve a maximum of approximately 40%throughput gain over a simple SRS-and-RC-based baseline scheme in SWIPT-based multi-relay networks.

Performance Analysis of WLAN Medium Access Control Protocols in Simulcast Radio-Over-Fiber-Based Distributed Antenna Systems

The performance of three wireless local-area network(WLAN) media access control(MAC) protocols is investigated and compared in the context of simulcast radioover-fiber-based distributed antenna systems(RoF-DASs) where multiple remote antenna units(RAUs) are connected to one access point(AP) with different-length fiber links.The three WLAN MAC protocols under investigation are distributed coordination function(DCF) in basic access mode,DCF in request/clear to send(RTS/CTS) exchange mode,and point coordination function(PCF).In the analysis,the inter-RAU hidden nodes problems and fiber-length difference effect are both taken into account.Results show that adaptive PCF mechanism has better throughput performances than the other two DCF modes,especially when the inserted fiber length is short.

Development of Millimeter-Wave Radio-over-Fiber Technology

Millimeter-wave radio-over-fiber techno- logy demonstrates the potential for providing wireless broad-band service in the next generation wireless communication system.Optical generation of millimeter-wave signal is one of the most important technologies of millimeter-wave radio-over-fiber system.The virtues and shortcomings of some ways of optical generation of millimeter-wave signal are discussed.Then optical millimeter-wave signal transmission perfor- mance is described.Finally,an overview of the millimeter-wave radio-over-fiber system is given.It is suggested that the millimeter-wave radio-over-fiber technology should be paid more attention,especially for modulators for optical generation of millimeter-wave signal and radio-over-fiber system.

Green Architecture for Dense Home Area Networks Based on Radio-over-Fiber with Data Aggregation Approach

The high-density population leads to crowded cities. The future city is envisaged to encompass a large-scale network with diverse applications and a massive number of interconnected heterogeneous wireless-enabled devices. Hence, green technology elements are crucial to design sustainable and future-proof network architectures. They are the solutions for spectrum scarcity, high latency, interference, energy efficiency, and scalability that occur in dense and heterogeneous wireless networks especially in the home area network （HAN）. Radio-over-fiber （ROF） is a technology candidate to provide a global view of HAN＇s activities that can be leveraged to allocate orthogonal channel communications for enabling wireless-enabled HAN devices transmission, with considering the clustered-frequency-reuse approach. Our proposed network architecture design is mainly focused on enhancing the network throughput and reducing the average network communications latency by proposing a data aggregation unit （DAU）. The performance shows that with the DAU, the average network communications latency reduces significantly while the network throughput is enhanced, compared with the existing ROF architecture without the DAU.

High throughput screening of single atomic catalysts with optimized local structures for the electrochemical oxygen reduction by machine learning

Single atomic catalysts(SACs),especially metal-nitrogen doped carbon(M-NC)catalysts,have been extensively explored for the electrochemical oxygen reduction reaction(ORR),owing to their high activity and atomic utilization efficiency.However,there is still a lack of systematic screening and optimization of local structures surrounding active centers of SACs for ORR as the local coordination has an essential impact on their electronic structures and catalytic performance.Herein,we systematic study the ORR catalytic performance of M-NC SACs with different central metals and environmental atoms in the first and second coordination sphere by using density functional theory(DFT)calculation and machine learning(ML).The geometric and electronic informed overpotential model(GEIOM)based on random forest algorithm showed the highest accuracy,and its R^(2) and root mean square errors(RMSE)were 0.96 and 0.21,respectively.30 potential high-performance catalysts were screened out by GEIOM,and the RMSE of the predicted result was only 0.12 V.This work not only helps us fast screen high-performance catalysts,but also provides a low-cost way to improve the accuracy of ML models.

Optical QPSK/16QAM modulation based on serial-parallel MZM scheme in radio-over-fiber system

A novel scheme of optical modulation in 40 GHz radio-over fiber （RoF） system is proposed. It generates optical QPSK/16QAM signals in a serial-parallel structure of Mach-Zehnder modulators （MZMs）. The millimeter-wave is obtained with optical frequency multiplication （OFM）. Furthermore, modulation on optical-wave is transferred onto millimeter-wave. It can be used to increase transmission capacity of millimeter-wave RoF systems.

Energy Efficiency in ARQ-Based Multi-Hop Systems and the Tradeoff with Throughput

The minimum energy per bit(EPB)as the energy efficiency(EE)metric in an automatic retransmission request(ARQ)based multi-hop system is analyzed under power and throughput constraints.Two ARQ protocols including type-I(ARQ-I)and repetition redundancy(ARQ-RR)are considered and expressions for the optimal power allocation(PA)are obtained.Using the obtained optimal powers,the EE-throughput tradeoff(EETT)is analyzed and the EETT closed-form expressions for both ARQ protocols and in arbitrary average channel gain values are obtained.It is shown that how different throughput requirements,especially the high levels,affect the EE performance.Additionally,asymptotic analysis is made in the feasible high throughput values and lower and upper EETT bounds are derived for ARQ-I protocol.To evaluate the EE a distributed PA scenario,as a benchmark,is presented and the energy savinggain obtained from the optimal PA in comparison with the distributed PA for ARQ-I and ARQ-RR protocols is discussed in different throughput values and node locations.

Throughput Analysis of HARQ Scheme Based on Full-Duplex Two-Way AF SWIPT Relay

The simultaneous wireless information and power transfer(SWIPT)relay system is one of the emerging technologies.Xiaomi Corporation and Motorola Inc.recently launched indoor wireless power transfer equipment is one of the most promising applications.To tap the potential of the system,hybrid automatic repeat request(HARQ)is introduced into the SWIPT relay system.Firstly,the time slot structure of HARQ scheme based on full duplex two-way amplify and forward(AF)SWIPT relay is given,and its retransmission status is analyzed.Secondly,the equivalent signal-to-noise ratio and outage probability of various states are calculated by approximate simplification.Thirdly,the energy harvesting power in each state is calculated.Finally,the energy harvested-throughput sum function is constructed to characterize the performance of energy harvesting and data transmission.Simulation results show that the proposed HARQ scheme has better energy harvestedthroughput sum function than the traditional HARQ scheme.When P_(2)=22 dB,the maximum sum function is 54.86%(the proposed HARQ scheme)and 52.307%(the traditional HARQ scheme),respectively.

High-Throughput Growth of Hexagonal Boron Nitride Film Using Porous-Structure Isolation Layer

Chemical vapor deposition is considered as the most hopeful method for the synthesis of large-area high-quality hexagonal boron nitride on the substrate of catalytic metal. However, the size the hexagonal boron nitride films are limited to the size of growth chamber, which indicates a lower production efficiency. In this paper, the utilization efficiency of growth chamber is highly improved by alternately stacking multiple pieces of Cu foils and carbon fiber surface felt with porous structure. Uniform and continuous hexagonal boron nitride films are prepared on Cu foils through chemical vapor deposition utilizing ammonia borane as the precursor. This work develops a simple and practicable method for high-throughput preparation of hexagonal boron nitride films, which could contribute to the industrial application of hexagonal boron nitride. .

Design and Research of High-throughput Automation System for Food Testing Laboratory

In the process of food testing,human operation is an important variable affecting the experimental results.In order to reasonably avoid the influence of human subjective operation behavior on the accuracy of detection results,the laboratory information management system was used as the information platform to design a high-throughput laboratory automation pre-treatment system based on the deep integration of mechanical principles,visual analysis,high-speed conduction,intelligent storage and other technical systems.The experimental results showed that the system could shorten the sample circulation cycle,effectively improve the laboratory biosafety,and meet the requirements of high-throughput processing of samples.

区块链扩展技术现状与展望

近年来,区块链技术引起广泛关注,其作为一种分布式账本技术,由于具备开放性、透明性和不可篡改性,已经被应用到诸多领域.但随着用户数量和访问需求的大幅增加,现有区块链体系结构可扩展性不足导致的性能瓶颈,制约了区块链技术的应用和推广,如何解决可扩展性问题已成为学术界和工业界关注的热点.对已有的区块链扩展方案进行分析和总结.首先,介绍区块链基本概念和可扩展性问题的由来,定义可扩展性问题并提出衡量可扩展性的指标.其次,给出分类框架,将现有方案按网络扩展、链上扩展、链下扩展3大类进行介绍,通过对不同的区块链可扩展性方案进行分析,比较各自的技术特点并归纳优缺点.最后,对亟待解决的开放性问题进行讨论,展望区块链技术未来趋势.

Design of Raptor-Like LDPC Codes and High Throughput Decoder Towards 100 Gbit/s Throughput

This paper proposes a raptor-like low-density parity-check(RL-LDPC)code design together with the corresponding decoder hardware architecture aiming at next-generation mobile communication.A new kind of protograph different from the 5G new radio(NR)LDPC basic matrix is presented,and a code construction algorithm is proposed to improve the error-correcting performance.A multi-core layered decoder architecture that supports up to 100 Gbit/s throughput is designed based on the special protograph structure.

基于高通量测序技术分析不同窖龄窖泥真菌群落多样性与空间异质性

利用Illumina NovaSeq高通量测序、冗余分析和FUNGuild等方法对甘肃金徽酒10a和50a窖龄窖池及其不同空间位置窖泥的真菌群落结构、真菌菌群与理化因子之间的关系以及真菌功能预测等进行研究。结果表明,随着窖池深度的增加,10 a窖池窖泥的多样性和丰富度呈现降低趋势,50 a窖池窖泥的多样性整体呈现升高趋势,而丰富度则呈现先降低后升高趋势,其中10a窖池窖壁上层的多样性和丰富度均显著高于其他位置(P<0.05),而50a窖池窖底层的多样性和丰富度均显著高于其他位置(P<0.05)。10a窖池窖壁层的多样性和丰富度显著高于50a窖池(P<0.05),而50a窖底层的多样性和丰富度明显高于10a窖池(P<0.05)。所有窖泥样品共检测到21个真菌门和520个真菌属,其中子囊菌门(Ascomycota)、担子菌门(Basidiomycota)、被孢霉门(Mortierellomycota)和罗兹菌门(Rozellomycota)4个优势真菌门以及曲霉属(Aspergillus)和哈萨克斯坦酵母属(Kazachstania)等多数优势真菌属的相对丰度随窖池窖龄和空间位置的变化差异显著(P<0.05)。镰刀霉属(Fusarium)、Aspergillus、Kazachstania和红曲霉属(Monascus)与水分、腐殖质、K^(+)和Ca^(2+)含量呈正相关,枝孢菌属(Cladosporium)、维希尼克氏酵母属(Vishniacozyma)与pH值呈正相关。窖泥真菌营养类型主要有腐生营养型和病理-腐生-共生营养型等7种,功能类群包括4个单一功能群和7个混合功能群。通过系统分析不同窖龄窖池和空间位置的窖泥真菌群落多样性,为明确甘肃金徽酒窖泥的真菌群落结构及空间分布规律奠定了理论基础。

抗虫转基因水稻及其杂交水稻对土壤微生物群落多样性与组成的影响

微生物是土壤物质循环与肥力演变的驱动者,其群落组成关系到土壤微生态系统的稳定与可持续性。对抗虫转基因水稻土壤微生物群落变化的研究是其环境安全性评价的重要内容。本研究基于细菌16S rRNA基因和真菌ITS基因的高通量测序,分析了田间试验中抗虫转基因水稻‘MFB’及其转基因杂交水稻‘闽丰A/MFB’‘天丰A/MFB’和‘谷丰A/MFB’与非转基因常规水稻‘闽恢3301’及杂交水稻‘天优华占’的土壤微生物群落多样性与组成的差异,并得出以下结果。首先,与两个非转基因水稻品种相比,抗虫转基因水稻及转基因杂交水稻均能显著增产(P<0.05)。同时,高通量测序结果表明,除水稻成熟期的土壤真菌群落外,与‘闽恢3301’相比‘MFB’的土壤细菌或真菌群落的α-多样性指数Chao1、Observed_species和Shannon均有所提高,且分别在水稻成熟期或分蘖期达到显著性水平(P<0.05);水稻齐穗期转基因杂交水稻‘闽丰A/MFB’‘天丰A/MFB’和‘谷丰A/MFB’的土壤细菌及真菌群落的多样性指数Shannon均介于‘MFB’与‘天优华占’之间;微生物群落β-多样性分析结果表明,本田间试验中不同品种水稻土壤细菌或真菌的群落组成均没有显著差异。但与‘闽恢3301’相比,稻田土壤细菌中丰度最高的变形菌门的相对丰度在‘MFB’土壤中明显增加,且在水稻分蘖期及成熟期达显著水平(P<0.05),而土壤真菌中丰度最高的子囊菌门的相对丰度在‘MFB’土壤中明显减少,且在水稻分蘖期及齐穗期差异显著(P<0.05);水稻齐穗期‘闽丰A/MFB’‘天丰A/MFB’和‘谷丰A/MFB’的土壤变形菌门或子囊菌门的相对丰度也均介于‘MFB’与‘天优华占’之间。此外,通过对微生物群落的功能组成预测可见,随水稻生长,‘MFB’与‘闽恢3301’的土壤细菌群落功能组成间差异存在增大的趋势。综上所述,本研究田间试验中,抗虫转基因水稻及其转基因杂交水稻在增产的同时提高了稻田土壤细菌或真菌群落的多样性,改变了主要细菌或真菌种类的相对丰度,但对细菌或真菌的群落及功能组成的影响不显著。

间作黄芪对当归根际土壤微生物的影响

目的:探讨根际土壤微生物对中药材种植模式的响应方式。方法:以间作黄芪及单作下当归根际土壤为研究对象,基于高通量测序技术,分析土壤微生物在不同季节及种植模式下群落组成及功能的差异。结果:间作下Chao1指数、ACE指数高于单作,变形菌门、放线菌门、酸杆菌门、绿弯菌门和芽单胞菌门为间作下的优势菌门,芽单胞菌门的相对丰度在间作下高于单作。11月间作下γ变形菌纲、7月间作下全噬菌纲的丰度显著高于单作。KEGG功能预测表明,在不同时间及间作下根际土壤细菌与细胞过程、环境信息处理、遗传信息处理、代谢功能下属的23类二级功能基因的相对丰度存在显著差异;参与氮循环的功能基因K00371(narH/narY/nxrB)、(K00374 narI/narV)等OTU数在间作下显著高于单作;不同门、纲在间作下的共生网络比单作下连接紧密且更复杂。结论:当归间作黄芪影响土壤细菌群落组成,增加其丰富度及功能的丰富性,影响土壤氮循环能力,促进土壤微生物间的交互作用。

设施西瓜连作土壤生化性质及微生物群落变化

为探索设施连作西瓜土壤微生态环境变化,通过高通量测序对连作组(连作10年设施西瓜土壤)和对照组(连作10年设施西瓜棚外相同土质的露天西瓜土壤)样品进行测序分析,比较2组土壤细菌和真菌的群落结构差异,测定土壤理化性质及酶活性。结果表明,连作组土壤pH、铵态氮、速效钾、微生物量碳、土壤酶活性极显著低于对照,而硝态氮和有效磷极显著高于对照组。连作组土壤中细菌ACE指数和Chaol指数均极显著高于对照组,土壤中真菌ACE指数、Chaol指数、Simpson指数和Shannon指数均低于对照组。土壤微生物优势物种组成改变,连作组土壤细菌变形菌门、芽单胞菌门、绿弯菌门及硝化螺旋菌门相对丰度较对照组分别增加了9.80%、20.83%、21.76%和27.12%(P<0.05),而酸杆菌门和疣微菌门较对照组分别减少了21.7%和26.27%(P<0.05);连作组土壤真菌子囊菌门相对丰度较对照组增加了10.96%(P<0.05),担子菌门和罗兹菌门的相对丰度分别较对照组减少了13.42%和93.77%(P<0.05)。相关性分析显示,优势菌门除Latescibacteria和己科河菌门丰度与所有土壤环境因子相关性均不显著外,其他优势菌群都与所测土壤环境因子(有机质除外)存在密切相关关系,土壤pH、铵态氮、有效磷、速效钾是影响土壤中微生物群落的主要因素,担子菌门和绿弯菌门能够指示土壤微生物量,微生物群落结构的变化对土壤酶活性有较大的影响。综上,设施西瓜连作10年土壤理化性质、酶活性及微生物群落结构皆显著变化,西瓜连作障碍是多种因素综合作用的结果。

亚硝酸盐对东北酸菜细菌菌群丰度及理化指标的影响

为探究亚硝酸盐对东北酸菜发酵过程中优势细菌属及理化指标的动态变化,设计自然发酵体系(S)和添加亚硝酸盐发酵体系(YS),监测发酵过程中东北酸菜理化指标及OD600nm值的变化,采用16S rDNA技术对理化指标变化明显时期的酸菜样本进行细菌属组成分析。结果表明,东北酸菜中的uncultured_bacterium_f_Enterobacteriaceae、Serratia等有害菌属大量繁殖,导致亚硝酸盐大量积累,而积累的亚硝酸盐对uncultured_bacterium_f_Enterobacteriaceae、Serratia和Enterococcus等有害菌的生长繁殖又起到抑制作用,其中对Serratia的抑制作用最强;乳酸菌能够降解亚硝酸盐,但亚硝酸盐对Lactococcus与Leuconostoc的生长代谢具有促进作用,对Lactobacillus具有抑制作用,随着亚硝酸盐被大量降解,其对Lactobacillus的抑制作用会解除。亚硝酸盐通过影响菌属结构及丰度,进而影响发酵体系的理化指标及OD600nm值的变化。

极早产儿生后1个月肠道菌群的动态变化及分布特征

目的了解极早产儿生后1个月肠道菌群的动态变化及分布特征,为益生菌早期干预提供理论依据。方法采取前瞻性研究方法,选取2022年9月至2023年3月本院收治的极早产儿为研究对象,收集生后第7、14、21、28天的粪便标本行16 S rRNA高通量测序及生物信息分析。结果共纳入极早产儿35例,男22例,女13例,出生胎龄210±11天,出生体重1419±339 g,收集粪便样本140份。在门水平上检测到的优势菌群包括厚壁菌门、变形菌门,占80%以上;属水平上检测到的优势菌群主要以条件致病菌为主,包括埃希菌属、梭菌属、葡萄球菌属、不动杆菌属和克雷伯杆菌属,而双歧杆菌属相对丰度均<5%。关键菌群差异分析发现,门及属水平的差异菌群主要为拟杆菌门(P=0.029)、蓝藻菌门(P=0.011)及葡萄球菌属(P=0.010)、罗氏菌属(P=0.040)。肠道菌群的多样性分析发现,四个时间点Alpla多样性指数Ace值及Shannon值比较差异无统计学差异(P>0.05),而Chao值呈逐渐下降趋势(P=0.001);四个时间点的Beta多样性分析Weighted-unifrac值分别为0.412(0.281~0.493)、0.498(0.214~0.526)、0.428(0.289~0.490)、0.143(0.077~0.423),差异有统计学意义(P<0.001)。结论极早产儿生后7~28天肠道优势菌群从厚壁菌门逐渐转变为变形菌门,并以条件致病菌为主,而双歧杆菌属定植数量少,肠道菌群多样性呈下降趋势。

软骨细胞中SIRT1基因敲减后作用状态不明确信号通路及对相关疾病或功能的影响

背景:沉默信息调节因子1以去乙酰化的方式调控软骨细胞中相关蛋白的功能,参与软骨细胞增殖分化,促进软骨缺损修复。目的:利用高通量技术筛选软骨细胞中沉默信息调节因子1基因敲减后作用状态不明确的信号通路以及产生变化的疾病或功能。方法:取处于对数生长期的小鼠ATDC5软骨细胞,分2组转染:对照组转染沉默信息调节因子1基因敲减阴性对照慢病毒,实验组转染沉默信息调节因子1基因敲减慢病毒。转染72 h后,利用小鼠基因表达谱芯片GeneChip®Mouse Genome 4302.0 Array检测mRNA的基因层面变化情况,应用生物信息学技术筛选激活或抑制不明确的信号通路以及这些信号通路相关因子,并分析疾病或功能模块的富集情况。结果与结论:①沉默信息调节因子1基因敲减后,小鼠ATDC5软骨细胞中激活或抑制状态不明确的信号通路有245条;②根据-log(P-value)排序选择排前20的激活或抑制状态不明确信号通路中的因子情况进行报道,包括IGFBP4、TGFBR1、CTGF、COL4A5、LHX2、IL1RL1、KLF6等;③根据-log(P-value)进行排序,细胞生长和增殖、生物体存活和细胞死亡与存活等14个疾病和功能密切相关模块明显变化;根据差异基因数量排序,生物体损伤和异常、癌症和细胞死亡与存活3个疾病和功能密切相关模块明显变化;根据-log(P-value)与差异基因数量综合排序,固有免疫应答这一疾病和功能模块被显著激活。