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2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)最新文献

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Secure Transmission Design of Millimeter-Wave Wiretap Channel with Guard Zone and Artificial Noise 带保护带和人工噪声的毫米波窃听信道安全传输设计
Yi Song, Weiwei Yang, Zhongwu Xiang, Yueming Cai
As one of the key technologies of the fifth generation communication, millimeter wave has abundant available bandwidth, which can meet the explosive growth of mobile data demand. In this paper, we study the problem of secure communication in a millimeter wave wiretap network. Two transmission protocols are designed to achieve the secure transmission in a sector zone. We give a comprehensive investigation of secrecy performance by analyzing each protocol in terms of secrecy outage probability (SOP), connection outage probability (COP) and secrecy throughput. Particularly, for the secrecy guard zone protocol, we analyze the influence of transmit power on secrecy performance and the results demonstrate that it is very important to set transmit power properly. For the secrecy guard zone protocol with artificial noise, in addition to analyzing the influence of transmit power on each performance metric, we also analyze the effect of transmit power allocation factor on the secrecy throughput, the results reveal that the power allocation of the AN and the information signal need to be properly set for increasing the secrecy throughput. Moreover, the influence of different millimeter wave frequency on the performance metric is also analyzed. Finally numerical results are provided to verify our theoretical analysis.
毫米波作为第五代通信的关键技术之一,具有丰富的可用带宽,可以满足爆发式增长的移动数据需求。本文主要研究毫米波窃听网络中的安全通信问题。为了实现扇区内的安全传输,设计了两种传输协议。本文从保密中断概率(SOP)、连接中断概率(COP)和保密吞吐量等方面分析了各协议的保密性能。特别针对保密守护区协议,分析了发送功率对保密性能的影响,结果表明发送功率的合理设置非常重要。对于带有人工噪声的保密保护区协议,除了分析发送功率对各性能指标的影响外,还分析了发送功率分配因子对保密吞吐量的影响,结果表明,为了提高保密吞吐量,需要合理设置AN和信息信号的功率分配。此外,还分析了不同毫米波频率对性能指标的影响。最后给出了数值结果来验证理论分析。
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引用次数: 3
Vehicle Precise Retrieval via Color Image Retrieval Method Based on Improved Fast-Match 基于改进快速匹配的彩色图像车辆精确检索方法
Feng Liu, Yue Wang, Jian Wei, Z. Gan, Z. Cui
Precise vehicle retrieval, which means ascertaining all instances for a given query vehicle image, is a challenging task as different vehicles will share the same visual attributes. To solve this problem, a novel color image retrieval method based on improved fast affine matching is proposed, which combines color constants and hue and saturation (H-S) color features of special marks to perform the fine-grained retrieval of images. The proposed method overcomes the influence of illumination variation and deformation on vehicle images. Furthermore, with full use of vehicle annual inspection labels, vehicle retrieval can be separated from excessive reliance on vehicle license plates. We evaluate our proposed method on the ReIDcar dataset, which includes many low-quality vehicle images in a series of experiments, and the large-scale image dataset VehicleID. Experimental results demonstrate that the retrieval rate outperforms other traditional methods, verifying the feasibility and effectiveness of the proposed method. Experimental results demonstrate that the proposed method is superior to other synopsis methods in the processing speed and retrieval accuracy.
精确的车辆检索意味着确定给定查询车辆图像的所有实例,这是一项具有挑战性的任务,因为不同的车辆将共享相同的视觉属性。为了解决这一问题,提出了一种基于改进的快速仿射匹配的彩色图像检索方法,该方法结合颜色常数和特殊标记的色调和饱和度(H-S)颜色特征对图像进行细粒度检索。该方法克服了光照变化和变形对车辆图像的影响。此外,由于充分使用车辆年检标签,车辆检索可以从过度依赖车辆牌照中分离出来。我们在一系列实验中包含许多低质量车辆图像的ReIDcar数据集和大规模图像数据集VehicleID上评估了我们提出的方法。实验结果表明,检索率优于其他传统方法,验证了所提方法的可行性和有效性。实验结果表明,该方法在处理速度和检索精度上都优于其他摘要方法。
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引用次数: 0
Design and Implementation for Near-optimal Noncoherent Sequence Detection of CPM 近似最优非相干序列检测的设计与实现
Penghui Lai, Shilian Wang, Cong Peng, Yanmin Ma, K. Gao, Chun Yang
Continuous phase modulation (CPM) has been widely used in telecommunication and aeronautical telemetry system due to its high power and spectral efficiency. Non-coherent detection is a kind of feasible CPM detection method if there is large phase noise or residual carrier frequency offset. Near-optimal non-coherent sequence detection, which is based on Viterbi algorithm, has a performance close to that of maximum-likelihood sequence detection (MLSD). However, near-optimal non-coherent detection of CPM is very complicated to be implemented, and it is even more difficult to achieve a high speed due to feedback in the process of calculating branch metrics, add-compare-select (ACS), updating the beginning phase and phase reference symbol. In this paper, we first review near-optimal non-coherent detection of CPM, and then we present a high speed design of FPGA implementation for near-optimal non-coherent detection of a 64 state, 4-ary, length-3T raised cosine (3RC) CPM on Xilinx XC7VX690T device. In our scheme, the frequency pulse truncation is used to simplify the CPM detection. We propose a feedback processing in parallel for different states of CPM trellis to achieve a low latency. Furthermore, we develop a recursive implementation architecture for the process of updating the beginning phase. We achieve the CPM bit rate of 25Mbps for the on-chip processing clock of 100MHz. The results of simulation shows near-optimal non-coherent detection performs much better the coherent detection when residual carrier frequency offset or phase noise exists. It is found that the implementation can achieve a degradation in the Eb/N0 from computer simulation of as small as 0.3 dB for an average BER=10-5.
连续相位调制(CPM)由于具有较高的功率和频谱效率,在通信和航空遥测系统中得到了广泛的应用。在存在较大相位噪声或载波频偏的情况下,非相干检测是一种可行的CPM检测方法。基于Viterbi算法的近最优非相干序列检测性能接近最大似然序列检测(MLSD)。然而,CPM的近最优非相干检测的实现非常复杂,并且由于在计算支路度量、添加比较选择(ACS)、更新起始相位和相位参考符号等过程中存在反馈,难以实现高速检测。在本文中,我们首先回顾了CPM的近最优非相干检测,然后在Xilinx XC7VX690T器件上给出了64态、4位、长度为3t的提高余弦(3RC) CPM的高速FPGA实现。在我们的方案中,使用频率脉冲截断来简化CPM检测。我们提出了一种针对不同状态的CPM网格的并行反馈处理,以实现低延迟。此外,我们为更新开始阶段的过程开发了一个递归实现体系结构。我们在片上处理时钟为100MHz时实现了25Mbps的CPM比特率。仿真结果表明,当载波频偏或相位噪声存在时,近最优非相干检测比相干检测效果好得多。结果表明,在平均误码率为10-5的情况下,通过计算机模拟,该方法可以实现小至0.3 dB的Eb/N0衰减。
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引用次数: 0
Joint User Clustering, Resource Allocation and Power Control for NOMA-based Mobile Edge Computing 基于noma的移动边缘计算联合用户聚类、资源分配和功率控制
Xianbang Diao, Jianchao Zheng, Yueming Cai, X. Dong, Xiaoyi Zhang
Mobile edge computing (MEC) has been considered as a promising technology to reduce the energy consumption and task execution latency of smart mobile devices (SMDs). To improve the number of user access and spectrum efficiency, we exploit non-orthogonal multiple access (NOMA) into the MEC system. NOMA will cause mutual interference between users, which will increase user’s transmission latency. Therefore, we formulate an optimization problem which minimizes the average latency of the NOMA-based MEC system via jointly optimizing user clustering, resource allocation and transmission power. To solve the optimization problem, we first propose heuristic algorithms to solve user clustering and resource allocation. Then, we propose an iterative power optimization algorithm based on particle swarm optimization (PSO). Simulation results show that the proposed optimization strategy can effectively reduce the average latency of the system.
移动边缘计算(MEC)被认为是一种有前途的技术,可以降低智能移动设备(smd)的能耗和任务执行延迟。为了提高用户接入数量和频谱效率,我们在MEC系统中引入了非正交多址(NOMA)技术。NOMA会造成用户之间的相互干扰,增加用户的传输延迟。因此,我们通过对用户集群、资源分配和传输功率的共同优化,提出了一个最小化基于noma的MEC系统平均时延的优化问题。为了解决优化问题,我们首先提出启发式算法来解决用户聚类和资源分配问题。在此基础上,提出了一种基于粒子群算法的迭代功率优化算法。仿真结果表明,所提出的优化策略可以有效地降低系统的平均时延。
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引用次数: 8
Two-State Buffer Driven Rate Adaptation Strategy for Improving Video QoE over HTTP 改进HTTP视频QoE的双状态缓存驱动速率自适应策略
Ailing Xiao, Xiaoming Tao, Li Wang, Jie Liu, Jianhua Lu
With the popularity of smart handheld devices, mobile streaming video has multiplied the global network traffic in recent years. To guarantee the best user experience, dynamic adaptive streaming over HTTP (DASH) is adopted as the de facto industrial technology, which can flexibly select the “proper” bitrate for each next video segment with the varying network throughput. In this paper, we propose a client-side buffer driven rate adaptation strategy which improves the real-time quality of experience (QoE) by answering to users’ differentiated QoE requirements at different buffer states. According to whether the downloaded video content is enough to resist bad network conditions, we define a startup state and a steady state of the buffer and take different rate adaptation goals for each state. For the startup one, filling the buffer as soon as possible helps improve users’ QoE the most. While for the steady state, our strategy aims at providing users with undisturbed viewing experience, which needs major concern over both the video quality and the rebuffering. Simulation results have shown that our strategy can effectively reduce the occurrence of rebufferings caused by the mismatch between requested video rates and varying network bandwidth, and attains standout performance on users’ QoE compared with classical rate adaption methods.
近年来,随着智能手持设备的普及,移动流媒体视频使全球网络流量成倍增长。为了保证最佳的用户体验,采用了动态自适应流over HTTP (dynamic adaptive streaming over HTTP, DASH)作为事实上的工业技术,它可以根据不同的网络吞吐量灵活地为下一个视频片段选择“合适”的比特率。本文提出了一种客户端缓存驱动的速率自适应策略,通过满足用户在不同缓存状态下的差异化QoE需求,提高实时体验质量。根据下载的视频内容是否足以抵抗恶劣的网络条件,我们定义了缓冲区的启动状态和稳定状态,并对每种状态采取不同的速率适应目标。对于启动阶段,尽快填充缓冲区最有助于提高用户的QoE。而对于稳态,我们的策略旨在为用户提供不受干扰的观看体验,这需要主要关注视频质量和再缓冲。仿真结果表明,我们的策略可以有效地减少由于请求视频速率与网络带宽不匹配而导致的重复缓冲的发生,并且与经典的速率自适应方法相比,在用户QoE方面取得了突出的性能。
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引用次数: 0
Delay Analysis and Computing Offloading of URLLC in Mobile Edge Computing Systems 移动边缘计算系统中URLLC的延迟分析与计算卸载
Yifan Duan, Changyang She, Guodong Zhao, Tony Q. S. Quek
In the fifth generation (5G) wireless communications, ultra-reliable and low-latency communications (URLLC) service that deliveries short packets will coexist with enhanced mobile broadband (eMBB) service with long packets. In this work, we study how to analyze delay and optimize offloading scheme of short packets in a mobile edge computing (MEC) system with both URLLC and eMBB services. To reduce computing delay for short packets, a processor-sharing (PS) server is deployed in the MEC system, where the total computing ability is equally allocated to all the packets in the server. As such, short packets can bypass long packets in the server. We derive a closed-form expression of the complimentary cumulative distribution function of latency experienced by short packets in the PS server, and minimize the end-to-end (E2E) delay of short packets by optimizing offloading probabilities subject to the reliability requirement. Simulation results validate our analysis and show that the PS server outperforms two kinds of first-come-first-serve servers in the scenarios with both short and long packets.
在第五代(5G)无线通信中,传输短数据包的超可靠低延迟通信(URLLC)业务将与传输长数据包的增强型移动宽带(eMBB)业务共存。在这项工作中,我们研究了如何在具有URLLC和eMBB服务的移动边缘计算(MEC)系统中分析延迟并优化短数据包卸载方案。为了减少短报文的计算延迟,在MEC系统中部署PS (processor-sharing)服务器,将总计算能力平均分配给服务器中的所有报文。因此,短报文可以绕过服务器中的长报文。我们推导了PS服务器中短数据包所经历的延迟互补累积分布函数的封闭表达式,并根据可靠性要求,通过优化卸载概率来最小化短数据包的端到端(E2E)延迟。仿真结果验证了我们的分析,并表明PS服务器在短数据包和长数据包的场景下都优于两种先到先服务的服务器。
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引用次数: 9
Secure Probabilistic Caching for Stochastic Multi-User Multi-Relay Networks 随机多用户多中继网络的安全概率缓存
Lisheng Fan, Xianfu Lei, Nan Zhao, P. Fan, G. Karagiannidis
In this paper, we study a stochastic multi-user multi-relay network, where the data transmission can be overheard by multiple eavesdroppers. The users, relays and eavesdroppers are assumed to arrive at the network subject to homogeneous poisson point process (PPP). Cache equipped at the relays and users can pre-store part of file contents, which can help enhance the transmission security. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission. To this end, we first consider several cache-aided transmission modes of self-fetch, D2D-transmission, relay-transmission, and source-transmission. We then study the network secrecy performance by analyzing the expression of secure cache throughput and an analytical lower bound. In order to maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using a heuristic algorithm. Numerical results are provided to demonstrate that the proposed strategy outperforms the conventional caching strategies.
本文研究了一种随机多用户多中继网络,其中数据传输可能被多个窃听者窃听。假设用户、中继和窃听者均遵循均质泊松点过程(PPP)到达网络。在中继和用户处设置缓存,可以预先存储部分文件内容,有助于提高传输的安全性。因此,设计一种有效的安全概率缓存策略来保证内容传输的安全性至关重要。为此,我们首先考虑了几种缓存辅助传输模式:自获取、d2d传输、中继传输和源传输。然后通过分析安全缓存吞吐量的表达式和分析下界来研究网络的保密性能。为了使安全缓存吞吐量最大化,我们使用启发式算法进一步优化了概率缓存策略。数值结果表明,该策略优于传统的缓存策略。
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引用次数: 1
SCA Power optimization in Cell-Free Massive MIMO with Short-Term Power Constraints 短期功率约束下无小区大规模MIMO的SCA功率优化
Yao Zhang, Haotong Cao, Yongan Guo, Longxiang Yang
In this paper, the performance of downlink cell-free massive multiple-input multiple-output (mMIMO) system with short-term power constraints is investigated. To maximize the sum downlink user signal-interference-noise-ratio (SINR), this paper proposes a sequential convex approximation (SCA) power optimization algorithm for cell-free mMIMO with normalized conjugate beamforming (CB) precoder. This proposed SCA algorithm is proved to be a second order cone programming (SOCP). Then, under the condition that the achievable data SINR is greater than or equal to a certain quality of service (QoS) threshold, a new sum power minimization algorithm is presented. It also can be reformulated as a SOCP. Numerical results indicate that the achievable sum downlink SINR monotonically increases at each iteration and the sum SINR tends to a stable value after 7 iterations. In addition, the power minimization algorithm works well in satisfying target users’ SINR constraints and minimizing the sum downlink transmission power.
本文研究了短期功率约束下无下行单元的大规模多输入多输出(mMIMO)系统的性能。为了使下行用户信噪比(SINR)最大化,提出了一种具有归一化共轭波束形成(CB)预编码器的无小区mimo的顺序凸逼近(SCA)功率优化算法。该算法被证明是一种二阶锥规划(SOCP)。然后,在可实现数据SINR大于或等于某一服务质量(QoS)阈值的条件下,提出了一种新的和功率最小化算法。它也可以被重新表述为SOCP。数值结果表明,每次迭代可达到的下行信道SINR总和单调增加,迭代7次后趋于稳定。此外,功率最小化算法在满足目标用户信噪比约束和使下行传输总功率最小化方面效果良好。
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引用次数: 13
Privacy Protection via Beamforming Optimization in MISO NOMA Networks MISO NOMA网络中基于波束成形优化的隐私保护
Yang Cao, Nan Zhao, Yunfei Chen, Minglu Jin, Lisheng Fan, Z. Ding, F. Yu
Non-orthogonal multiple access (NOMA) is a promising approach for 5G. However, the privacy between users may be compromised due to the superposition of all users’ signals to successive interference cancellation (SIC) receivers. In this paper, we propose a scheme based on beamforming optimization for the downlink NOMA that can enhance the security of a specific private user while guaranteeing other users' quality of service (QoS). Specifically, we intend to maximize the secrecy rate of the private user, under the constraint that the other users’ QoS is satisfied. Owing to the non-convexity, we first convert it into convex forms and then, an iterative algorithm based on the concave-convex procedure is proposed to attain their solutions. Extensive simulation results are presented to evaluate the effectiveness of the proposed scheme.
非正交多址(NOMA)是5G的一种很有前途的方法。然而,由于所有用户的信号叠加到连续干扰消除(SIC)接收器上,用户之间的隐私可能会受到损害。在本文中,我们提出了一种基于波束形成优化的下行NOMA方案,该方案可以在保证其他用户的服务质量(QoS)的同时提高特定私有用户的安全性。具体来说,我们打算在满足其他用户QoS的约束下,使私有用户的保密率最大化。由于问题的非凸性,首先将其转化为凸形式,然后提出一种基于凹凸过程的迭代算法求解问题。大量的仿真结果验证了所提方案的有效性。
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引用次数: 1
QoE-Orientated Resource Allocation for Wireless VR over Small Cell Networks 面向qos的小蜂窝网络无线VR资源分配
Tianyu Lu, Haibo Dai, Baoyun Wang
For wireless virtual reality (VR) over small cell networks (SCN), the latency between user’s dynamic head rotation and the synchronous change in head-mounted display (HMD) influences quality of experience (QoE). In this paper, to assess VR user’s QoE, we specify mean opinion score (MOS) as a metric of latency. With the goal of maximizing system-wide MOS, the stochastic game approach is leveraged for investigating resource allocation problem. For problem solution, a distributed multi-agent learning algorithm is proposed, which can converge to a pure-strategy Nash equilibrium (NE). Numerical results demonstrate the excellent performance of our proposed algorithm.
对于基于小蜂窝网络(SCN)的无线虚拟现实(VR),用户动态头部旋转与头戴式显示器(HMD)同步变化之间的延迟影响体验质量(QoE)。在本文中,为了评估VR用户的QoE,我们指定平均意见分数(MOS)作为延迟的度量。利用随机博弈方法研究资源分配问题,以最大限度地提高系统范围内的最大可操作性。对于问题的求解,提出了一种分布式多智能体学习算法,该算法可以收敛到纯策略纳什均衡(NE)。数值结果证明了该算法的优良性能。
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引用次数: 2
期刊
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
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