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中兴通讯技术（英文版）
中兴通讯技术（英文版）

谢大雄

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1673-5188

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中兴通讯技术（英文版）/Journal ZTE Communications
查看更多>>ZTE　Communications is a quarterly publication, edited, published and distributed by the Corporate Branding and Communications Department of ZTE Corporation. The magazine focuses on hot telecom topics and front-line telecom technologies, with the sections of “Special Topic”, “Operational Application”, “Research Paper”, “Development Field” and “Lecture Series”. It is a worthwhile magazine for telecom operators and partners of ZTE Corporation alike. The magazine is mainly distributed to telecom operators, science and technology research institutes, relevant government departments, and colleges and universities.
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    Special Topic on Integrated Sensing and Communication (ISAC) Technologies for Future Wireless Communication

    YUAN JinhongFEI ZesongWEI Zhiqiang
    1-3页
      原文链接:
    • 万方数据

    Kullback-Leibler Divergence Based ISAC Constellation and Beamforming Design in the Presence of Clutter

    TANG ShuntianWANG XinyiXIA FanghaoFEI Zesong...
    4-12页
    查看更多>>摘要：Integrated sensing and communication (ISAC) is regarded as a pivotal technology for 6G communication. In this paper,we employ Kullback-Leibler divergence (KLD) as the unified performance metric for ISAC systems and investigate constellation and beamforming design in the presence of clutters. In particular,the constellation design problem is solved via the successive convex approximation (SCA) technique,and the optimal beamforming in terms of sensing KLD is proven to be equivalent to maximizing the signal-to-interference-plus-noise ratio (SINR) of echo signals. Numerical results demonstrate the tradeoff between sensing and communication performance under different param-eter setups. Additionally,the beampattern generated by the proposed algorithm achieves significant clutter suppression and higher SINR of echo signals compared with the conventional scheme.
      原文链接:
    • 万方数据
    • 维普

    Joint Beamforming Design for Dual-Functional Radar-Communication Systems Under Beampattern Gain Constraints

    CHEN GuangyiZHANG RuoyuREN HongLIN Xu...
    13-20页
    查看更多>>摘要：The joint beamforming design challenge for dual-functional radar-communication systems is addressed in this paper. The base sta-tion in these systems is tasked with simultaneously sending shared signals for both multi-user communication and target sensing. The primary objective is to maximize the sum rate of multi-user communication,while also ensuring sufficient beampattern gain at particular angles that are of interest for sensing,all within the constraints of the transmit power budget. To tackle this complex non-convex problem,an effective al-gorithm that iteratively optimizes the joint beamformers is developed. This algorithm leverages the techniques of fractional programming and semidefinite relaxation to achieve its goals. The numerical results confirm the effectiveness of the proposed algorithm.
      原文链接:
    • 万方数据
    • 维普

    On Normalized Least Mean Square Based Interference Cancellation Algorithm for Integrated Sensing and Communication Systems

    YU XiaohuiYU ShuchengLIU XiqingPENG Mugen...
    21-28页
    查看更多>>摘要：Integrated sensing and communication (ISAC) technology is a promising candidate for next-generation communication systems. However,severe co-site interference in existing ISAC systems limits the communication and sensing performance,posing significant chal-lenges for ISAC interference management. In this work,we propose a novel interference management scheme based on the normalized least mean square (NLMS) algorithm,which mitigates the impact of co-site interference by reconstructing the interference from the local transmitter and canceling it from the received signal. Simulation results demonstrate that,compared to typical adaptive interference management schemes based on recursive least square (RLS) and stochastic gradient descent (SGD) algorithms,the proposed NLMS algorithm effectively cancels co-site interference and achieves a good balance between computational complexity and convergence performance.
      原文链接:
    • 万方数据
    • 维普

    Trajectory Tracking for MmWave Communication Systems via Cooperative Passive Sensing

    YU ChaoLYU BojieQIU HaoyuWANG Rui...
    29-36页
    查看更多>>摘要：A cooperative passive sensing framework for millimeter wave (mmWave) communication systems is proposed and demonstrated in a scenario with one mobile signal blocker. Specifically,in the uplink communication with at least two transmitters,a cooperative detection method is proposed for the receiver to track the blocker's trajectory,localize the transmitters and detect the potential link blockage jointly. To facilitate detection,the receiver collects the signal of each transmitter along a line-of-sight (LoS) path and a non-line-of-sight (NLoS) path separately via two narrow-beam phased arrays. The NLoS path involves scattering at the mobile blocker,allowing its identification through the Doppler fre-quency. By comparing the received signals of both paths,the Doppler frequency and angle-of-arrival (AoA) of the NLoS path can be estimated. To resolve the blocker's trajectory and the transmitters' locations,the receiver should continuously track the mobile blocker to accumulate suffi-cient numbers of the Doppler frequency and AoA versus time observations. Finally,a gradient-descent-based algorithm is proposed for joint de-tection. With the reconstructed trajectory,the potential link blockage can be predicted. It is demonstrated that the system can achieve decimeter-level localization and trajectory estimation,and predict the blockage time with an error of less than 0.1 s.
      原文链接:
    • 万方数据
    • 维普

    Integrated Sensing and Communication:Who Benefits More?

    DU RuolinWEI ZhiqiangYANG Zai
    37-47页
    查看更多>>摘要：This paper compares the benefits of communication-assisted sensing and sensing-assisted communication in the context of inte-grated sensing and communication (ISAC). Communication-assisted sensing leverages the extensive cellular infrastructure to create a vast and cooperative sensor network,enhancing environmental perception accuracy and coverage. On the other hand,sensing-assisted communication utilizes advanced sensing technologies to improve predictive beamforming and channel estimation performance in high-frequency and high-mobility scenarios,thereby increasing communication efficiency and reliability. To validate our analysis,we present an example of channel knowledge map (CKM)-assisted beam tracking. This example demonstrates the practical advantages of incorporating CKM in enhancing beam tracking accuracy. Our analysis confirms that communication-assisted sensing may offer greater development potential due to its wide cover-age and cost-effectiveness in large-scale applications.
      原文链接:
    • 万方数据
    • 维普

    Low-Complexity Integrated Super-Resolution Sensing and Communication with Signal Decimation and Ambiguity Removal

    DAI QianglongZHOU ZhiwenXIAO ZhiqiangZENG Yong...
    48-55页
    查看更多>>摘要：Integrated sensing and communication (ISAC) is one of the main usage scenarios for 6G wireless networks. To most efficiently uti-lize the limited wireless resources,integrated super-resolution sensing and communication (ISSAC) has been recently proposed to signifi-cantly improve sensing performance with super-resolution algorithms for ISAC systems,such as the Multiple Signal Classification (MUSIC) al-gorithm. However,traditional super-resolution sensing algorithms suffer from prohibitive computational complexity of orthogonal-frequency division multiplexing (OFDM) systems due to the large dimensions of the signals in the subcarrier and symbol domains. To address such is-sues,we propose a novel two-stage approach to reduce the computational complexity for super-resolution range estimation significantly. The key idea of the proposed scheme is to first uniformly decimate signals in the subcarrier domain so that the computational complexity is signifi-cantly reduced without missing any target in the range domain. However,the decimation operation may result in range ambiguity due to pseudo peaks,which is addressed by the second stage where the total collocated subcarrier data are used to verify the detected peaks. Com-pared with traditional MUSIC algorithms,the proposed scheme reduces computational complexity by two orders of magnitude,while maintain-ing the range resolution and unambiguity. Simulation results verify the effectiveness of the proposed scheme.
      原文链接:
    • 万方数据
    • 维普

    Tensor Decomposition-Based Channel Estimation and Sensing for Millimeter Wave MIMO-OFDM V2I Systems

    WANG JilinZENG XianlongYANG YonghuiPENG Lin...
    56-68页
    查看更多>>摘要：An integrated sensing and communication (ISAC) scheme for a millimeter wave (mmWave) multiple-input multiple-output or-thogonal frequency division multiplexing (MIMO-OFDM) Vehicle-to-Infrastructure (V2I) system is presented,in which both the access point (AP) and the vehicle are equipped with large antenna arrays and employ hybrid analog and digital beamforming structures to com-pensate the path loss,meanwhile compromise between hardware complexity and system performance. Based on the sparse scattering na-ture of the mmWave channel,the received signal at the AP is organized to a four-order tensor by the introduced novel frame structure. A CANDECOMP/PARAFAC (CP) decomposition-based method is proposed for time-varying channel parameter extraction,including angles of departure/arrival (AoDs/AoAs),Doppler shift,time delay and path gain. Then leveraging the estimates of channel parameters,a nonlin-ear weighted least-square problem is proposed to recover the location accurately,heading and velocity of vehicles. Simulation results show that the proposed methods are effective and efficient in time-varying channel estimation and vehicle sensing in mmWave MIMO-OFDM V2I systems.
      原文链接:
    • 万方数据
    • 维普

    Sensing and Communication Integrated Fast Neighbor Discovery for UAV Networks

    WEI ZhiqingZHANG YongjiJI DannaLI Chenfei...
    69-82页
    查看更多>>摘要：In unmanned aerial vehicle (UAV) networks,the high mobility of nodes leads to frequent changes in network topology,which brings challenges to the neighbor discovery (ND) for UAV networks. Integrated sensing and communication (ISAC),as an emerging technol-ogy in 6G mobile networks,has shown great potential in improving communication performance with the assistance of sensing information. ISAC obtains the prior information about node distribution,reducing the ND time. However,the prior information obtained through ISAC may be imperfect. Hence,an ND algorithm based on reinforcement learning is proposed. The learning automaton (LA) is applied to interact with the environment and continuously adjust the probability of selecting beams to accelerate the convergence speed of ND algorithms. Besides,an efficient ND algorithm in the neighbor maintenance phase is designed,which applies the Kalman filter to predict node movement. Simulation results show that the LA-based ND algorithm reduces the ND time by up to 32％ compared with the Scan-Based Algorithm (SBA),which proves the efficiency of the proposed ND algorithms.
      原文链接:
    • 万方数据
    • 维普

    A Survey on Task Scheduling of CPU-GPU Heterogeneous Cluster

    ZHOU YihengZENG WeiZHENG QingfangLIU Zhilong...
    83-90页
    查看更多>>摘要：This paper reviews task scheduling frameworks,methods,and evaluation metrics of central processing unit-graphics processing unit (CPU-GPU) heterogeneous clusters. Task scheduling of CPU-GPU heterogeneous clusters can be carried out on the system level,node-level,and device level. Most task-scheduling technologies are heuristic based on the experts' experience,while some technologies are based on statistic methods using machine learning,deep learning,or reinforcement learning. Many metrics have been adopted to evaluate and com-pare different task scheduling technologies that try to optimize different goals of task scheduling. Although statistic task scheduling has reached fewer research achievements than heuristic task scheduling,the statistic task scheduling still has significant research potential.
      原文链接:
    • 万方数据
    • 维普