Statistical Channel Modeling for Indoor VLC Communications Based on Channel Measurements

Visible light communication(VLC)has attracted much attention in the research of sixthgeneration(6G)systems.Furthermore,channel modeling is the foundation for designing efficient and robust VLC systems.In this paper,we present extensive VLC channel measurement campaigns in indoor environments,i.e.,an office and a corridor.Based on the measured data,the large-scale fading characteristics and multipath-related characteristics,including omnidirectional optical path loss(OPL),K-factor,power angular spectrum(PAS),angle spread(AS),and clustering characteristics,are analyzed and modeled through a statistical method.Based on the extracted statistics of the above-mentioned channel characteristics,we propose a statistical spatial channel model(SSCM)capable of modeling multipath in the spatial domain.Furthermore,the simulated statistics of the proposed model are compared with the measured statistics.For instance,in the office,the simulated path loss exponent(PLE)and the measured PLE are 1.96and 1.97,respectively.And,the simulated medians of AS and measured medians of AS are 25.94°and 24.84°,respectively.Generally,the fact that the simulated results fit well with measured results has demonstrated the accuracy of our SSCM.

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 Channel Estimation in a NOMA Modulation Environment Based on Ensemble Learning

This study presents a layered generalization ensemble model for next generation radio mobiles,focusing on supervised channel estimation approaches.Channel estimation typically involves the insertion of pilot symbols with a well-balanced rhythm and suitable layout.The model,called Stacked Generalization for Channel Estimation(SGCE),aims to enhance channel estimation performance by eliminating pilot insertion and improving throughput.The SGCE model incorporates six machine learning methods:random forest(RF),gradient boosting machine(GB),light gradient boosting machine(LGBM),support vector regression(SVR),extremely randomized tree(ERT),and extreme gradient boosting(XGB).By generating meta-data from five models(RF,GB,LGBM,SVR,and ERT),we ensure accurate channel coefficient predictions using the XGB model.To validate themodeling performance,we employ the leave-one-out cross-validation(LOOCV)approach,where each observation serves as the validation set while the remaining observations act as the training set.SGCE performances’results demonstrate higher mean andmedian accuracy compared to the separatedmodel.SGCE achieves an average accuracy of 98.4%,precision of 98.1%,and the highest F1-score of 98.5%,accurately predicting channel coefficients.Furthermore,our proposedmethod outperforms prior traditional and intelligent techniques in terms of throughput and bit error rate.SGCE’s superior performance highlights its efficacy in optimizing channel estimation.It can effectively predict channel coefficients and contribute to enhancing the overall efficiency of radio mobile systems.Through extensive experimentation and evaluation,we demonstrate that SGCE improved performance in channel estimation,surpassing previous techniques.Accordingly,SGCE’s capabilities have significant implications for optimizing channel estimation in modern communication systems.

朝那鸡MC1R基因G274A和A427G多态位点与羽色性状的关联分析

为了研究宁夏地方品种鸡朝那鸡的黑色素皮质激素1受体(melanocortin 1 receptor, MC1R)基因G274A和A427G多态位点与羽色性状的关联性,试验选择120日龄健康的朝那鸡150只(红羽、黑羽和白羽各50只)为试验对象,采用高分辨熔解曲线(high resolution melting, HRM)分析技术对朝那鸡MC1R基因G274A和A427G位点进行基因型分型检测,并且对基因型和羽色性状进行了关联分析。结果表明:试验朝那鸡群体MC1R基因G274A位点有GG、GA、AA三种基因型,其中AA基因型个体数量最多,等位基因A为优势等位基因,多态信息含量(PIC)为0.286 7,表现为中度多态(0.25≤PIC≤0.50),说明MC1R基因位点为G274A的朝那鸡群体选育潜力较高;A427G位点有AA、AG两种基因型,其中AA基因型个体数量最多,等位基因A为优势等位基因,PIC为0.062 3,表现为低度多态(PIC<0.25),说明MC1R基因位点为A427G的朝那鸡群体选育潜力较低;这两个位点均处于Hardy-Weinberg平衡状态(P>0.05)。G274A位点不同基因型间的羽色性状差异显著(P<0.05),黑羽群体中未发现GG基因型个体,红羽和白羽群体中GG基因型个体数量较GA、AA基因型个体少,AA基因型是红羽和黑羽群体中的优势基因型;A427G位点不同基因型间的羽色性状差异极显著(P<0.01),三个羽色群体中均未发现GG基因型个体,红羽群体均为AA基因型,黑羽和白羽群体中AA基因型个体数量较AG基因型多。说明MC1R基因这两个位点可作为朝那鸡羽色纯化的遗传标记应用于品种纯度鉴定和分子育种中。

Rspo3/Lgr5促进N-钙黏蛋白表达参与小鼠肝损伤

目的本文旨在研究在损伤肝组织中,特异性顶部盘状底板反应蛋白3(R-spondin3,Rspo3)上调周细胞N-钙黏蛋白(N-cadherin,Ncad,基因名Cdh2)表达,从而参与小鼠肝损伤。方法采用反转录实时定量聚合酶链反应法(reverse transcription-quantitative polymerase chain reaction,RT-qPCR)测定Rspo3,小鼠肝组织富含亮氨酸重复序列G蛋白偶联受体5(leucine-rich repeat-containing G protein-coupled receptor 5,Lgr5)和Cdh2 mRNA表达情况;采用蛋白质免疫印迹方法以及免疫荧光染色方法测定Ncad定位以及表达情况;分离并培养小鼠原代骨髓间充质细胞(bone marrow mesenchymal stromal cell,BMSC),采用靶向Lgr5的RNA干扰实验以确定Rspo3是否通过作用于Lgr5上调Ncad表达。结果在损伤小鼠肝组织中,Rspo3及其受体Lgr5显著上调;肝损伤时黏附连接蛋白Ncad表达上调,且与Rspo3及Lgr5表达量呈正相关;Ncad主要定位于损伤肝脏的周细胞;使用Rspo3处理小鼠原代BMSC能够上调Ncad表达,Lgr5 siRNA能使Ncad水平下降。结论在小鼠损伤肝组织中,Rspo3通过作用于受体Lgr5,上调周细胞中Ncad表达,从而影响小鼠肝损伤。

Adaptive Resource Allocation Algorithm for 5G Vehicular Cloud Communication

The current resource allocation in 5G vehicular networks for mobile cloud communication faces several challenges,such as low user utilization,unbalanced resource allocation,and extended adaptive allocation time.We propose an adaptive allocation algorithm for mobile cloud communication resources in 5G vehicular networks to address these issues.This study analyzes the components of the 5G vehicular network architecture to determine the performance of different components.It is ascertained that the communication modes in 5G vehicular networks for mobile cloud communication include in-band and out-of-band modes.Furthermore,this study analyzes the single-hop and multi-hop modes in mobile cloud communication and calculates the resource transmission rate and bandwidth in different communication modes.The study also determines the scenario of one-way and two-way vehicle lane cloud communication network connectivity,calculates the probability of vehicle network connectivity under different mobile cloud communication radii,and determines the amount of cloud communication resources required by vehicles in different lane scenarios.Based on the communication status of users in 5G vehicular networks,this study calculates the bandwidth and transmission rate of the allocated channels using Shannon’s formula.It determines the adaptive allocation of cloud communication resources,introduces an objective function to obtain the optimal solution after allocation,and completes the adaptive allocation process.The experimental results demonstrate that,with the application of the proposed method,the maximum utilization of user communication resources reaches approximately 99%.The balance coefficient curve approaches 1,and the allocation time remains under 2 s.This indicates that the proposed method has higher adaptive allocation efficiency.

手动膜片钳检测盐酸罗哌卡因及其右旋异构体对HEK293细胞hERG电流的影响

目的研究比较盐酸罗哌卡因和盐酸罗哌卡因右旋异构体对高表达hERG钾通道的HEK293细胞hERG电流的影响。方法用手动膜片钳检测转染后hERG钾通道稳定表达的HEK293细胞电流,多菲莱德做阳性药,将盐酸罗哌卡因和盐酸罗哌卡因右旋异构体依次稀释成30.00、10.00、3.33、1.11、0.37μmol·L^(-1),依次作用于细胞,记录电流变化,计算抑制率。结果盐酸罗哌卡因0.37、1.11、3.33、10、30μmol·L^(-1)对电流Iherg-tail的抑制率分别为(6.12±0.30)%、(13.04±1.20)%、(19.21±0.33)%、(35.56±0.66)%、(65.37±4.17)%,IC_(50)为19.482μmol·L^(-1)(n=15)。盐酸罗哌卡因右旋异构体0.37、1.11、3.33、10.00、30.00μmol·L^(-1)对电流Iherg-tail的抑制率分别为(4.13±3.43)%、(7.34±5.60)%、(9.49±2.75)%、(16.60±0.87)%、(31.36±1.45)%,IC_(50)>30μmol·L^(-1)(n=15)。阳性对照药品多菲莱德0.00185、0.00556、0.01667、0.05000、0.15000μmol·L^(-1)对电流Iherg-tail的抑制率分别为(7.81±2.77)%、(19.67±1.88)%、(57.16±4.39)%、(89.71±3.55)%、(99.66±0.89)%、IC_(50)为0.015μmol·L^(-1)(n=15)。结论和阳性对照药品多菲莱德比较,盐酸罗哌卡因对hERG通道为弱抑制作用,盐酸罗哌卡因右旋异构体对hERG通道为无明显抑制作用。

Sub-Terahertz Channel Sounder: Review and Future Challenges

Due to the large amount of unused and unexplored spectrum resources, the so-called subTerahertz(sub-THz) frequency bands from 100 to 300 GHz are seen as promising bands for the next generation of wireless communication systems. Channel modeling at sub-THz bands is essential for the design and deployment of future wireless communication systems. Channel measurement is a widely adopted method to obtain channel characteristics and establish mathematical channel models. Channel measurements depend on the design and construction of channel sounders. Thus, reliable channel sounding techniques and accurate channel measurements are required. In this paper, the requirements of an ideal channel sounder are discussed and the main channel sounding techniques are described for the subTHz frequency bands. The state-of-the-art sub-THz channel sounders reported in the literature and respective channel measurements are presented. Moreover, a vector network analyzer(VNA) based channel sounder, which supports frequency bands from 220 to330 GHz is presented and its performance capability and limitation are evaluated. This paper also discussed the challenge and future outlook of the sub-THz channel sounders and measurements.

Design Framework of Unsourced Multiple Access for 6G Massive IoT

In this paper,ambient IoT is used as a typical use case of massive connections for the sixth generation(6G)mobile communications where we derive the performance requirements to facilitate the evaluation of technical solutions.A rather complete design of unsourced multiple access is proposed in which two key parts:a compressed sensing module for active user detection,and a sparse interleaver-division multiple access(SIDMA)module are simulated side by side on a same platform at balanced signal to noise ratio(SNR)operating points.With a proper combination of compressed sensing matrix,a convolutional encoder,receiver algorithms,the simulated performance results appear superior to the state-of-the-art benchmark,yet with relatively less complicated processing.

铁路5G-R基站智能天线技术分析

目前我国铁路干线路网基本建成,基于铁路沿线GSM-R基站铁塔站点间距约3~7km,5G-R基站建设时将利用既有铁塔基础设施改造升级。2.1GHz频段4G、5G基站采用的主流天线是4T4R技术,在既有基站间距的情况下,5G-R基站小区边缘的覆盖能力不足,基站间距较大的站点之间需补充覆盖,或采用更高增益的8T8R天线解决小区的边缘覆盖问题,为此需要对8T8R天线的主要技术特点进行研究。首先,介绍包括多入多出、波束赋形、智能天线等天线关键技术;然后,深入分析8T8R天线波束性能及主要指标,包括单柱波束、广播波束、正交波束、波束宽度、旁瓣抑制等;最后,介绍5G-R无线覆盖的特点及8T8R测试情况。通过研究,为5G-R技术在铁路系统的快速开展应用提供技术参考。

GSM-R电台同步信息漏检问题分析与优化

针对GSM-R基站接收不到车载电台发送的测量报告,引起车载电台与RBC之间的通信链接异常中断,从而导致列车出现CTCS-3超时或降级的问题,通过对大量的电台运行日志数据进行统计分析,发现电台切换前获取的同步信息有误,但该同步信息却通过了奇偶校验,电台使用错误的同步信息去做小区切换,导致基站接收不到电台发送的测量报告。在研究电台同步原理和过程的基础上,对电台获取同步信息的流程进行优化,利用电台周期性获取同步信息这一重要特征,将多次获取的同步信息进行对比,去除错误信息,提出一种有效解决同步信息漏检的优化方案,减少列车超时降级的发生,有效提升铁路的运营效率。

Anti-jamming channel access in 5G ultra-dense networks: a game-theoretic learning approach

This paper investigates the Quality of Experience(QoE)oriented channel access anti-jamming problem in 5th Generation Mobile Communication(5G)ultra-dense networks.Firstly,considering that the 5G base station adopts beamforming technology,an anti-jamming model under Space Division Multiple Access(SDMA)conditions is proposed.Secondly,the confrontational relationship between users and the jammer is formulated as a Stackelberg game.Besides,to achieve global optimization,we design a local cooperation mechanism for users and formulate the cooperation and competition among users as a local altruistic game.By proving that the local altruistic game is an Exact Potential Game(EPG),we further prove the existence of pure strategy Nash Equilibrium(NE)among users and Stackelberg Equilibrium(SE)between users and jammer.Thirdly,to obtain the equilibrium solutions of the proposed games,we propose an anti-jamming channel selection algorithm and improve its convergence speed through heterogeneous learning parameters.The simulation results validate the convergence and effectiveness of the proposed algorithm.Compared with the throughput optimization scheme,our proposed scheme obtain a greater network satisfaction rate.Finally,we also analyze user fairness changes during the algorithm convergence process and get some interesting conclusions.

Machine Learning-Based Channel State Estimators for 5G Wireless Communication Systems

For a 5G wireless communication system,a convolutional deep neural network(CNN)is employed to synthesize a robust channel state estimator(CSE).The proposed CSE extracts channel information from transmit-and-receive pairs through offline training to estimate the channel state information.Also,it utilizes pilots to offer more helpful information about the communication channel.The proposedCNN-CSE performance is compared with previously published results for Bidirectional/long short-term memory(BiLSTM/LSTM)NNs-based CSEs.The CNN-CSE achieves outstanding performance using sufficient pilots only and loses its functionality at limited pilots compared with BiLSTM and LSTM-based estimators.Using three different loss function-based classification layers and the Adam optimization algorithm,a comparative study was conducted to assess the performance of the presented DNNs-based CSEs.The BiLSTM-CSE outperforms LSTM,CNN,conventional least squares(LS),and minimum mean square error(MMSE)CSEs.In addition,the computational and learning time complexities for DNN-CSEs are provided.These estimators are promising for 5G and future communication systems because they can analyze large amounts of data,discover statistical dependencies,learn correlations between features,and generalize the gotten knowledge.

Glabridin Relaxes Vascular Smooth Muscles by Activating BK_(Ca) Channels and Inhibiting Phosphodiesterase in Human Saphenous Vein

The aim of the current study was to investigate the pharmacological activity of glabridinon the isolated human saphenous vein (SV) and explore the underlying mechanisms. Samples of patients' SVs were removed during bypass surgery, and 4-mm lengths of the vessels were placedin Krebs solution at ±4℃ and hung in an isolated organ bath to assess their contraction/relaxationresponses. The contraction/relaxation responses were recorded to observe if the cyclic guanosinemonophosphate (cGMP)/protein kinase G (PKG) pathway mediates the relaxant effect of glabridinafter treatment with blockers like ODQ (a guanylate cyclase inhibitor), KT5823 (a PKG inhibitor),isobutylmethylxanthine [IBMX, a phosphodiesterase (PDE) inhibitor], and cantharidin [Cant,a myosin light-chain phosphatase (MLCP) inhibitor]. Moreover, nitric oxide (NO), cGMP, andPKG levels in SV tissues were determined by ELISA after incubation with glabridin, N(o)-nitro-L-arginine methyl ester (L-Name, a NO synthetase inhibitor), phenylephrine (PE), ODQ, IBMX,and KT5823. The results showed that glabridin relaxed the vascular smooth muscle of humanSV pretreated with PE in a dose-dependent manner, which was independent of the endothelium.The vasorelaxant effect of glabridin was only inhibited by iberiotoxin (IbTX), Cant, and KT5823.Glabridin increased cGMP and PKG levels in SV homogenates, whereas it did not alter the NOlevel. The enhancing efects of cGMP and PKG levels by glabridin were abolished by ODQ andKT5823. In conclusion, glabridin has a vasorelaxant effect, which is associated with the activationof BKc. channels and inhibition of PDE.

Experiment on Boiling Heat Transfer of Refrigerant R134a in Mini-channels

The flow boiling heat transfer characteristics of refrigerant R134 a flowing inside two different kinds of minichannels are investigated. One channel is multi-port extruded with the hydraulic diameter of 0.63 mm,and the other one is rectangular with offset fins and a hydraulic diameter of 1.28 mm. The experiments are performed with a mass flow rate between 68 and 630 kg/(m^2·s),a heat flux between 9 and 64 kW/m^2,and a saturation pressure between 0.24 and 0.63 MPa,under the constant heat flux heating mode. It is found that the effect of mass flow rate on boiling heat transfer is related to heat flux,and that with the increase of heat flux,the effect can only be efficient in higher vapor quality region. The effects of heat flux and saturation pressure on boiling heat transfer are related to a threshold vapor quality,and the value will gradually decrease with the increase of heat flux or saturation pressure. Based on these analyses,a new correlation is proposed to predict the boiling heat transfer coefficient of refrigerant R134 a in the mini-channels under the experimental conditions.

A Fuzzy Clustering Algorithm Based on Multipath Component Trajectory for Millimeter Wave Radio Channels

Time-varying channel modeling plays an important role for many applications in time-variant scenarios,while most clustering algorithms focus on static channels and cannot accurately model the channel time-evolution properties.In this paper,a fuzzy clustering algorithm based on multipath component(MPC)trajectory is proposed.Firstly,both the distance and velocity similarities of the MPCs in different snapshots are taken into account to track the MPC trajectory,in which the fuzzy scheme and a kernel function are used to calculate the distance and velocity similarities,respectively.Secondly,a fuzzy MPC trajectory clustering algorithm is proposed to cluster the MPCs in multiple snapshots.The MPCs in a snapshot are clustered according to the membership,which is defined as the probability that a MPC belongs to different clusters.Finally,time-varying channels at 28 GHz are simulated to validate the performance of our proposed algorithm.The results show that our proposed algorithm is able to accurately identify the clusters in time-varying channels compared with the existing clustering algorithms.

E224G Regulation of the PIP2-Induced Gating Kinetics of Kir2.1 Channels

As a member of the inwardly rectifying channel (Kir) family, Kir2.1 allows to influx the cell more easily than to efflux, a biophysical phenomenon named inward rectification. The function of Kir2.1 is to set the resting membrane potential and modulate membrane excitability. It has been reported that residue E224 plays a key role in regulating inward rectification. The mutant Kir2.1 (E224G) displays weaker inward rectification than the WT channel. Gating of Kir2.1 depends on the membrane lipid, PIP2, such that the channel gates are closed in the absence of PIP2. Here we perform electrophysiological and computational approaches, and demonstrate that E224 also plays an important role in the PIP2-dependent activation of Kir2.1 in addition to its influence on inward rectification. The E224G mutant takes 4.5 times longer to be activated by PIP2. To probe the mechanism by which E224G slows the channel opening kinetics, we perform targeted molecular dynamics simulations and find that the mutant weakens the interactions between CD-loop and C-linker (H221-R189) and the adjacent G-loops (R312-E303) which are thought to stabilize the open state of the channel in our previous work. These data provide new insights into the regulation of Kir2.1 channel activity and suggest that a common mechanism may be involved in the distinct biophysical processes, such as inward rectification and PIP2-induced gating.

Effect of G_(αq/11) Protein and ATP-sensitive Potassium Channels on Ischemic Preconditioning in Rat Hearts

Objectives To investigate the effect of Gαq/11 signaling pathway and ATP-sensitive potassium channel ( KATP channel ) on ischemic preconditioning (IPC) protection in rat hearts. Methods Two series of experiments were performed in Wistar rat hearts. In the first series of experiment, ischemic preconditioning was induced by left anterior descending occlusion (three, 5 min episodes separated by 5 min of reperfusion), ischemia-reperfusion injury was induced by 30 min coronary artery occlusion followed by 90 min reperfusion. Hemodynamics, infarct size and scores of ventricular arrhythmias were measured. The expression of Gαq/11 protein in the heart was measured by Western blot analysis in the second series. Results Ischemic preconditioning rats showed decreased infarct size and scores of ventricular arrhythmia vs non-IP control rats. The effect of IPC was significantly attenuated by glibenclamide (1 mg/kg, ip), a nonselective KATP channel inhibitor. IPC caused a significant increase in the expression of Gαq/11 protein. Conclusions Activations of Gαq/11 signal pathway and KATP channel played significant roles in the classical cardioprotection of ischemic precon-ditioning rat heart and might be an important mechanism of signal transduction pathway during the ischemic preconditioning.

Channel Lateral Pocket or Halo Region of NMOSFET Characterized by Interface State R G Current of the Forward Gated Diode

The channel lateral pocket or halo region of NMOSFET characterized by interface state R G current of a forward gated diode has been investigated numerically for the first time.The result of numerical analysis demonstrates that the effective surface doping concentration and the interface state density of the pocket or halo region are interface states R G current peak position dependent and amplitude dependent,respectively.It can be expressed quantitatively according to the device physics knowledge,thus,the direct characterization of the interface state density and the effective surface doping concentration of the pocket or halo becomes very easy.

基于GPS L5导频通道的GNSS-R SAR成像

为降低导航电文对利用全球导航卫星系统反射技术(global navigation satellite system-reflectometry, GNSS-R)进行合成孔径雷达(synthetic aperture radar, SAR)成像的影响,采用全球定位系统(global positioning system, GPS) L5导频通道即无数据通道的信号,通过后向投影(back projection, BP)算法进行成像。仿真和实验结果表明,与剥离导航电文的数据通道信号的成像相比,导频通道信号的使用无需考虑剥离电文操作,降低了信号处理复杂度;从图像对比上看,目标和背景得到更好的区分,信噪比提升,成像质量得到一定程度改善。