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2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)最新文献

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Modulator Design for THz Communication Based on Vanadium Dioxide Metasurface 基于二氧化钒超表面的太赫兹通信调制器设计
Yaojia Chi, Ningyuan Kuang, Yahua Tang, Wenjie Chen, Xinying Ma, Zhuoxun Li, Q. Wen, Zhi Chen
With the continuous development of modern information society, all kinds of high-speed wireless communication application are emerging, while the traditional spectrum resources are becoming scarce.The terahertz (THz) band is an enabler for wireless communication (Beyond 5G) since the excellent characteristics of terahertz communication. It is extremely challenging to design the modulator for THz communications.In this paper, an electrically controlled THz metasurface was designed and fabricated based on the phase transition characteristic of Vanadium Dioxide (VO2). It can switch between two resonant states with a large difference in transmittance. The experimental results show that the transmittance of perpendicular incident THz wave reaches to the highest at 0.31 THz. When the applied voltage is increased from 0 V to 8 V, the transmittance significantly decreases to the lowest value at 0.41 THz. The modulation depth can be up to 59% in the entire band of 0.2-0.6 THz. This work is of great significance for the research and development of THz modulators.
随着现代信息社会的不断发展,各种高速无线通信应用层出不穷,而传统的频谱资源却越来越稀缺。太赫兹(THz)频段是无线通信(超越5G)的推动者,因为太赫兹通信具有优异的特性。太赫兹通信调制器的设计极具挑战性。本文基于二氧化钒(VO2)的相变特性,设计并制备了电控太赫兹超表面。它可以在两种共振状态之间切换,透射率差异很大。实验结果表明,垂直入射太赫兹波的透过率在0.31太赫兹处达到最高。当施加电压从0 V增加到8 V时,透射率显著降低,在0.41 THz处达到最低点。在0.2 ~ 0.6 THz的全频段内,调制深度可达59%。这项工作对太赫兹调制器的研究和开发具有重要意义。
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引用次数: 3
Decision-making Strategy of Channel Switching in Molecular Communication Networks 分子通信网络中信道交换的决策策略
Peng He, Bowen Pi, Qiang Liu
This paper investigates the switching functionality for molecular communication networks. In particular, we design channel switches for molecular communication among biological cells through calcium signaling. We adopt stochastic noisy channels to design the channel switching with a stochastic process. First, a basic design of channel switches is presented considering variational gating of gap junction channels and noise. Then, we propose the decision-making problem of channel switches. After that, we propose a strategy using the support vector machine tool for the channel switching. The simulation results show that decision-making problem of channel switches could be properly solved with an accepted performance. The results also indicate that complex molecular communication networks may be designed using channel switches.
本文研究了分子通信网络的交换功能。特别是,我们设计了通过钙信号在生物细胞之间进行分子通信的通道开关。我们采用随机噪声信道来设计具有随机过程的信道切换。首先,提出了一种考虑缝隙结通道变分门控和噪声的通道开关的基本设计方法。然后,我们提出了信道切换的决策问题。在此基础上,提出了一种基于支持向量机的信道切换策略。仿真结果表明,该方法能较好地解决信道开关的决策问题,并具有良好的性能。结果还表明,可以使用通道开关设计复杂的分子通信网络。
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引用次数: 0
Deep Reinforcement Learning for D2D transmission in unlicensed bands 无许可频段D2D传输的深度强化学习
Zhiqun Zou, Rui Yin, Xianfu Chen, Celimuge Wu
In this paper, a reinforcement learning based approach is proposed to realize the distributed power and spectrum allocation for the Device-to-Device (D2D) communications in unlicensed bands, named as D2D-U. To guarantee the harmonious coexistence with the WiFi networks, the conventional duty-cycle muting (DCM) is employed by the D2D-U links. With the proposed learning approach, D2D-U links can optimally select the time fraction on unlicensed channels without knowing the accurate WiFi traffic in a dynamic WiFi working environment. To address the state space explosion during the learning process, the Deep Q-learning network (DQN) is adopted by combining a deep neural network (DNN) with the traditional Q-learning mechanism. After obtaining the available time fraction on unlicensed channels, the spectrum and power allocation on licensed and unlicensed bands can be optimized jointly via the classic convex optimization methods at each D2D-U link. Numerical results are demonstrated to verify the effectiveness of the proposed approach.
本文提出了一种基于强化学习的方法来实现无许可频段设备对设备(Device-to-Device, D2D)通信的分布式功率和频谱分配,称为D2D- u。为了保证与WiFi网络的和谐共存,D2D-U链路采用了传统的占空比静音(DCM)。采用本文提出的学习方法,在动态WiFi工作环境下,D2D-U链路可以在不知道准确WiFi流量的情况下,最优地选择非授权信道上的时间分数。为了解决学习过程中的状态空间爆炸问题,将深度神经网络(DNN)与传统的q -学习机制相结合,采用深度q -学习网络(Deep Q-learning network, DQN)。在获得未授权信道上的可用时间分数后,可以通过经典的凸优化方法在每个D2D-U链路上对许可频段和未许可频段的频谱和功率分配进行联合优化。数值结果验证了该方法的有效性。
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引用次数: 10
Neural Network Enhanced Analog Beam Selection Scheme for Terahertz Systems 神经网络增强的太赫兹系统模拟波束选择方案
Zhuoxun Li, Xinying Ma, Wenjie Chen, Ningyuan Kuang, Bo Zhang
With the rapidly increasing demand for communication, terahertz wave communication has gradually stands out with its higher rate, lower power consumption, and secure communication. Furthermore, to reduce the use of radio frequency chains, hybrid beamforming for MIMO system is proposed. In conventional method, in order to optimal the uplink sum rate, exhaustive search algorithms are commonly used to select the best codeword for analog beamforming. However, exhaustive search algorithms also cause too much complexity to be implemented in engineering. In this paper, an iterative sub-optimal algorithm is firstly proposed to avoid the computation of matrix inversion. Moreover, we propose a data-driven method based on RBF-NN of analog beam codebook selection to further reduce the complexity. Specifically, with training data coming from samples of the terahertz channel, the analog beam codebook selection problem is considered as a multiclass-classification problem. Using the dataset, we built a statistical classification model via RBF-NN method which can select suitable analog beams for each user, with low complexity and near optimal sum rate. Analysis and simulation results reveal that, compared with the conventional method, as long as the training data are sufficient, the proposed method reduce complexity by several orders, with near-optimal performance.
随着通信需求的快速增长,太赫兹通信以其更高的速率、更低的功耗和更安全的通信方式逐渐脱颖而出。此外,为了减少射频链的使用,提出了用于MIMO系统的混合波束形成方法。在传统方法中,为了优化上行和速率,通常采用穷举搜索算法来选择模拟波束形成的最佳码字。然而,穷举搜索算法在工程上的实现也过于复杂。本文首先提出了一种迭代次优算法,避免了矩阵反演的计算。此外,我们提出了一种基于RBF-NN的模拟波束码本选择的数据驱动方法,以进一步降低复杂性。在训练数据来自太赫兹信道样本的情况下,模拟波束码本选择问题被认为是一个多类分类问题。利用数据集,我们利用RBF-NN方法建立了统计分类模型,该模型可以为每个用户选择合适的模拟波束,具有较低的复杂度和接近最优的求和速率。分析和仿真结果表明,与传统方法相比,只要训练数据足够,所提方法的复杂度降低了几个数量级,具有接近最优的性能。
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引用次数: 2
Multi-Beam On-Demand Power Allocation MAC Protocol for MIMO Terahertz Communication Networks 多波束按需功率分配MAC协议的MIMO太赫兹通信网络
Xinwei Yao, Fang-Zhou Ni, Chao-Chao Wang
Terahertz (THz) communication is envisioned as one of the key technologies to achieve Terabit-per-second (Tbps) wireless data transmission speed. However, the communication distance in THz networks is constrained by the severe path loss in THz frequencies and the limited transmission power, which results in the network deployment issue. In recent years, researchers have shown a growing interest in the utilization of adaptive transmission power as well as multi-connectivity THz communication. In this paper, a multi-beam on-demand power allocation medium access control (MAC) protocol for Multiple-Input Multiple-Output (MIMO) THz communication in distributed wireless networks is presented. The proposed dual-band protocol relies on a multi-beam antenna structure, which utilizes the limited transmission power to achieve multiple concurrent THz connections by applying the proposed distance-aware power allocation scheme and redesigning the frame formats. The simulation results demonstrate the relationship between the number of beams with SNR threshold and average node distance. The results concluded by comparing the total throughput of the proposed multi-beam network with classical single-beam network show that the proposed protocol maximize the THz channel utilization and achievable throughput.
太赫兹(THz)通信是实现每秒太比特(Tbps)无线数据传输速度的关键技术之一。然而,太赫兹网络的通信距离受到太赫兹频率严重的路径损耗和有限的传输功率的限制,从而导致网络部署问题。近年来,研究人员对自适应传输功率的利用以及多连接太赫兹通信表现出越来越大的兴趣。提出了一种适用于分布式无线网络中多输入多输出(MIMO)太赫兹通信的多波束按需功率分配介质访问控制(MAC)协议。该双频协议基于多波束天线结构,利用有限的发射功率,通过采用距离感知功率分配方案和重新设计帧格式,实现多个并发太赫兹连接。仿真结果证明了具有信噪比阈值的波束数与平均节点距离之间的关系。通过对多波束网络和经典单波束网络的总吞吐量进行比较,结果表明所提出的协议最大限度地提高了太赫兹信道利用率和可实现的吞吐量。
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引用次数: 3
Timely and Full Coverage Algorithm for Region Area with UAVs-assisted Small Satellite Constellation 无人机辅助小卫星星座区域实时全覆盖算法
Peng Yuan, Min Su, Yue Li, Qinyu Zhang
Recently, small satellites have been playing important roles in numerous military and civil applications, such as remote sensing and communication support, befitting from the coverage performance. However, restricted by the fixed orbits and on-board equipments, the long revisiting period and undesired blind stripe become the bottleneck for timely and full coverage, especially for the wide-range region area. Therefore, in this paper, the coverage-enhanced system comprising small satellites in constellation and Unmanned Aerial Vehicles (UAV) in formation is demonstrated. Based on the coverage system, the region decomposition and cooperative mechanism algorithm is designed to allocate coverage task to appropriate passing satellites and flying UAVs. Moreover, the design criterion for the satellite constellation in the UAV s-assisted system is proposed, achieving higher full-coverage ratio. The experimental results verify the enhancement of coverage performance for the proposed coverage system.
近年来,小卫星在遥感和通信支持等众多军事和民用应用中发挥着重要作用,其覆盖性能与之相适应。然而,受轨道固定和星载设备的限制,重访周期长和不希望出现的盲区成为及时、全面覆盖的瓶颈,特别是对于大范围区域。为此,本文对由星座小卫星和编队无人机组成的覆盖增强系统进行了论证。在覆盖系统的基础上,设计区域分解与协同机制算法,将覆盖任务分配给合适的路过卫星和飞行无人机。提出了无人机辅助系统卫星星座设计准则,实现了更高的全覆盖比。实验结果验证了所提出的覆盖系统对覆盖性能的提高。
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引用次数: 3
Channel Aggregation in Molecular Communication Network Based on Calcium Signal 基于钙信号的分子通信网络中的通道聚集
Bowen Pi, Peng He, Kun Yang, Qiang Liu
Molecular communication (MC) is a kind of communication technology using biochemical molecules as information carrier. Compared with traditional electromagnetic signal, the signal attenuation of biochemical molecules in the transmission process is very serious. However, in the body area nano-networks, in order to ensure the normal life activities of cells, there is a limit to the concentration of the signal molecules. Communication distance cannot be increased by increasing the concentration of information molecules, simply. Channel aggregation can reduce the concentration constraint and effectively solve the communication distance problem caused by signal attenuation. This paper introduces the molecular communication network about channel aggregation using calcium signal. According to the attenuation regulation of calcium signal, a scheme of channel aggregation is proposed.
分子通信是一种以生物化学分子为信息载体的通信技术。与传统的电磁信号相比,生化分子在传输过程中的信号衰减非常严重。然而,在体域纳米网络中,为了保证细胞的正常生命活动,信号分子的浓度是有限制的。简单地说,不能通过增加信息分子的浓度来增加通信距离。信道聚合可以减少集中约束,有效解决信号衰减带来的通信距离问题。本文介绍了利用钙离子信号进行通道聚集的分子通信网络。根据钙离子信号的衰减规律,提出了一种通道聚集方案。
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引用次数: 1
A Novel Conception of SWIPT System Considering Information Independent Transmission 考虑信息独立传输的swift系统新构想
Hang Kong, Kai Feng, Jie Wu, Nan Jin, Shuaibiao He, Jiagui Tao
In the conventional structure of simultaneous wireless information and power transfer (SWIPT) system, the information channel depends on power transmission, which means if there is no power transfer, then all switches in the inverter are turned off, it is impossible to transfer information anymore. Therefore, an improved structure of SWIPT system with independent information channel is proposed in this paper. This paper establishes the model of the structure and analyzes the power and information channel of the system to verify the feasibility of the structure. Theoretical analysis and simulation results validate the proposed conception of information transmission with an independent channel.
在传统的无线信息与电力同步传输(SWIPT)系统结构中,信息通道依赖于电力传输,这意味着如果没有电力传输,那么逆变器中的所有开关都关闭,就不可能再传输信息了。为此,本文提出了一种具有独立信息通道的改进的swift系统结构。本文建立了该结构的模型,并对系统的功率和信息通道进行了分析,验证了该结构的可行性。理论分析和仿真结果验证了采用独立信道进行信息传输的构想。
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引用次数: 2
SMDP-Based Resource Allocation for Slice Requests with Long-term Reward Maximization 基于smdp的分片请求资源分配与长期奖励最大化
Xin-lian Zhou, X. Wen, Luhan Wang, Zhaoming Lu, Wanqing Guan
Network slicing has emerged as a key technology to support the coexistence of multi-service in the the 5G/B5G networks. However, due to the resource scarcity and the diversity of slice requests, how to allocate resources efficiently to maximize the long-term reward of the infrastructure network is a challenging issue. In this paper, we model the resource allocation problem as a semi-Markov decision process (SMDP), which is defined by state space, action space, reward and transition probability distribution. The reward function jointly considers the total income, the cost of available resource and the utilization of the total resource for the infrastructure network. Not focusing on one step decisions reward, we apply the Bellman equation to obtain long-term reward by accumulating. Then we exploit value iteration algorithm to determine the resource allocation scheme according to a certain state in such a way that the long-term reward can be maximized. Extensive simulation results show that the proposed SMDP can achieve a superior performance compared with the existing heuristic methods.
网络切片已成为5G/B5G网络中支持多业务共存的关键技术。然而,由于资源的稀缺性和切片请求的多样性,如何有效地分配资源以使基础设施网络的长期回报最大化是一个具有挑战性的问题。本文将资源分配问题建模为一个半马尔可夫决策过程(SMDP),该决策过程由状态空间、动作空间、奖励和转移概率分布定义。奖励函数综合考虑了基础设施网络的总收益、可用资源的成本和总资源的利用率。我们不关注一步决策奖励,而是应用Bellman方程通过累积来获得长期奖励。然后利用数值迭代算法,根据某一状态确定资源分配方案,使长期回报最大化。大量的仿真结果表明,与现有的启发式算法相比,所提出的SMDP算法具有更好的性能。
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引用次数: 2
Siamese Feature Pyramid Network for Visual Tracking 用于视觉跟踪的暹罗特征金字塔网络
Shuo Chang, Fan Zhang, Sai Huang, Yuanyuan Yao, Xiaotong Zhao, Z. Feng
Visual tracking is an important technology of robot-assisted surgery in 5G-health. Recently, discriminative correlation filter (DCF) methods utilizing in-network feature hierarchy in convolutional neural networks (CNNs) have made state-of-art results in visual tracking. However, their models are complex, which can not run in real-time. Different from DCF methods, SiamFC (Siamese Fully Convolutional) can operate at 86 frames-per-second, while it doesn't leverage the in-network feature hierarchy. Inspired by the high speed of SiamFC and in-network feature hierarchy in CNNs, a Siamese model based on feature pyramid network is proposed to improve tracking performance. The proposed tracking algorithm can not only benefit from fine-grained spatial details in low level features, but also the semantic information in high level features. Besides, a group of ablation experiments are conducted. Without the bells and whistles, the performance improvements are visible compared to SiamFC.
视觉追踪是5g健康领域机器人辅助手术的重要技术。近年来,利用卷积神经网络(cnn)网络内特征层次的判别相关滤波(DCF)方法在视觉跟踪方面取得了较好的效果。然而,它们的模型比较复杂,不能实时运行。与DCF方法不同,SiamFC (Siamese Fully Convolutional)可以以每秒86帧的速度运行,但它不利用网络内的特征层次结构。受SiamFC高速和cnn网络内特征层次结构的启发,提出了一种基于特征金字塔网络的Siamese模型来提高跟踪性能。所提出的跟踪算法既可以利用低层次特征的细粒度空间细节,又可以利用高层次特征的语义信息。此外,还进行了一组烧蚀实验。没有这些花哨的东西,与SiamFC相比,性能的改进是显而易见的。
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引用次数: 4
期刊
2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)
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