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2022 International Symposium on Wireless Communication Systems (ISWCS)最新文献

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RIS-Assisted Downlink Multi-cell Communication Using Statistical CSI 使用统计CSI的ris辅助下行多小区通信
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940423
Luoluo Jiang, Caihong Luo, Xiao Li, M. Matthaiou, Shi Jin
Reconfigurable intelligent surfaces (RISs) have been proposed as a promising technology for future wireless communication systems to achieve both high spectral and energy efficiency. In this paper, we investigate a RIS-assisted downlink multi-cell communication system, where the RIS is deployed at the cell edges to serve the users in blind spots, with only statistical channel state information (CSI) being available. Under these assumptions, we investigate the optimization of beamforming at the BSs and phase shift at the RIS to maximize the approximated ergodic weighted sum spectral efficiency (WSSE). The complex circle manifold based algorithm is proposed to obtain the sub-optimal phase shift matrix while the statistical maximum ratio transmission (MRT) is applied to design the sub-optimal beamforming vectors. Our simulation results show that the approximate ergodic spectral efficiency expression is very close to the exact Monte-Carlo simulation, whilst the robustness of the ergodic WSSE is verified.
可重构智能表面(RISs)被认为是未来无线通信系统实现高频谱和高能效的一种有前途的技术。在本文中,我们研究了一种RIS辅助下行多小区通信系统,其中RIS部署在小区边缘以服务于盲点用户,只有统计信道状态信息(CSI)可用。在这些假设下,我们研究了BSs处波束形成和RIS处相移的优化,以最大化近似遍历加权和频谱效率(WSSE)。提出了基于复圆流形的次优相移矩阵获取算法,采用统计最大比传输(MRT)算法设计次优波束形成矢量。仿真结果表明,遍历谱效率近似表达式与蒙特卡罗模拟结果非常接近,同时验证了遍历WSSE的鲁棒性。
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引用次数: 2
Beamforming Design and Resource Allocation for IRS-Assisted NOMA Cognitive Radio System irs辅助NOMA认知无线电系统的波束形成设计与资源分配
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940437
Xiaopeng Yuan, Weiyu Li, Yulin Hu, A. Schmeink
In this work, we have studied an intelligent reflective surface (IRS)-assisted cognitive radio system. The non-orthogonal multiple access (NOMA) has been deployed to strengthen the spectrum sharing behaviour between two secondary users. In order to improve the secondary network in a fairness manner without significantly interfering the primary network, we formulate a minimum throughput minimization problem for the secondary network via a joint design of IRS beamforming and resource allocation at the secondary transmitter. To address the complex non-convex problem, we adopt the successive convex approximation technique and propose an iterative algorithm for alternating improving the IRS beamforming scheme and the resource allocation design. The algorithm will finally converge to an efficient suboptimal solution. Through numerical results, we highlight the advantage of deploying IRS in the considered system and also the potential superiority of NOMA scheme over the space-division multiple access (SDMA) via comparisons.
在这项工作中,我们研究了一个智能反射面(IRS)辅助的认知无线电系统。部署了非正交多址(NOMA),以加强两个辅助用户之间的频谱共享行为。为了在不明显干扰主网络的情况下公平地改进副网络,我们通过在副发射机处联合设计IRS波束形成和资源分配,提出了副网络的最小吞吐量最小化问题。为了解决复杂的非凸问题,我们采用连续凸逼近技术,提出了交替改进IRS波束形成方案和资源分配设计的迭代算法。算法最终会收敛到一个有效的次优解。通过数值结果,我们强调了在考虑的系统中部署IRS的优势,以及通过比较NOMA方案相对于空分多址(SDMA)的潜在优势。
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引用次数: 0
Multi-User Symbol-Level Precoding for Downlink Reconfigurable MIMO Communication Systems 下行可重构MIMO通信系统的多用户符号级预编码
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940400
Haonan Wang, Ang Li, Yuanjun Shen, B. Vucetic, Yonghui Li
Pattern reconfigurable multiple-input multiple-output (PR-MIMO) can improve the communication quality compared with the traditional MIMO via modifying the wireless propagation environment actively. In this paper, we discuss the design of the constructive interference (CI)-based symbol-level precoding (CI-SLP) in the multi-user pattern-reconfigurable multiple-input single-output (MU-PR-MISO) communication systems. Firstly, the joint design problem of SLP and the radiation pattern is formulated aimed at maximizing the worst user's service quality. Based on that, the optimization problem is further decoupled and an iterative alternating optimization algorithm is proposed to obtain the desired radiation pattern and the corresponding precoding matrix. After simplifying the joint design problem in the single-pattern case where all the antenna elements adopt the same radiation pattern, the convexity of the pattern design problem can be ensured, leading to an optimal pattern design. Numerical results demonstrate that the reconfigurable radiation pattern can manipulate the wireless channel purposefully so that the performance gains by exploiting CI can be further increased.
与传统MIMO相比,模式可重构多输入多输出(PR-MIMO)通过主动改变无线传播环境来提高通信质量。本文讨论了多用户模式可重构多输入单输出(MU-PR-MISO)通信系统中基于建设性干扰(CI)的符号级预编码(CI- slp)设计。首先,提出了以最差用户服务质量最大化为目标的SLP和辐射方向图联合设计问题;在此基础上,进一步解耦了优化问题,提出了一种迭代交替优化算法来获得期望的辐射方向图和相应的预编码矩阵。对所有天线单元采用同一辐射方向图的单方向图情况下的联合设计问题进行简化后,可以保证方向图设计问题的凸性,从而实现最优方向图设计。数值结果表明,可重构辐射方向图可以有目的地操纵无线信道,从而进一步提高利用CI的性能增益。
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引用次数: 0
Low Computational Complexity Algorithm for Hand Gesture Recognition using mmWave RADAR 基于毫米波雷达的低计算复杂度手势识别算法
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940253
Yanhua Zhao, V. Sark, Milos Krstic, E. Grass
Radio detection and ranging (RADAR) technology has attracted a lot of attention recently, especially for hand gesture recognition. Contactless hand gesture recognition can be applied in many areas, such as in-car entertainment systems and clean room operations. In this work, a computationally efficient and fast hand gesture feature extraction approach based on frequency-modulated continuous-wave (FMCW) RADAR is proposed, which is highly beneficial for real-time applications. Unlike conventional image recognition, the features of the hand gesture are extracted directly in an efficient manner. Our approach adopts 2-dimensional Fast Fourier Transform (FFT) to form a Range-Doppler matrix, and background modelling to remove clutter. Furthermore, we use best bin selection to locate the target in the Range-Doppler matrix in order to obtain both range and velocity of targets. Fourier beam steering is employed to obtain the angle of targets. Four classifiers are trained to perform hand gesture recognition. Cross-validation is used to evaluate their performance. Experimental results indicate that the features extracted by our approach can be fed directly into the classifiers for recognition which leads to an average recognition accuracy of 98.74% across all classifiers. Compared to image based recognition, the additional feature extraction process can be skipped, saving significant processing time. Our approach could be useful in many areas such as in-car entertainment systems, smart homes and others.
近年来,无线电探测与测距(RADAR)技术引起了人们的广泛关注,尤其是手势识别技术。非接触式手势识别可以应用于许多领域,例如车内娱乐系统和无尘室操作。本文提出了一种基于调频连续波雷达(FMCW)的计算效率高、速度快的手势特征提取方法,对实时应用有很大的帮助。与传统的图像识别不同,该方法直接有效地提取了手势的特征。该方法采用二维快速傅里叶变换(FFT)来形成距离-多普勒矩阵,并采用背景建模来去除杂波。在距离-多普勒矩阵中采用最佳bin选择对目标进行定位,从而获得目标的距离和速度。采用傅立叶光束转向技术获取目标的角度。四个分类器被训练来进行手势识别。交叉验证用于评估它们的性能。实验结果表明,通过该方法提取的特征可以直接输入到分类器中进行识别,所有分类器的平均识别准确率达到98.74%。与基于图像的识别相比,可以跳过额外的特征提取过程,节省了大量的处理时间。我们的方法在许多领域都很有用,比如车载娱乐系统、智能家居等。
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引用次数: 1
Low Complexity Unitary Approximate Message Passing Based Equalization for OTFS System 基于低复杂度统一近似消息传递的OTFS系统均衡
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940356
Futian Ni, M. Lei, Ming-Min Zhao, Min-Jian Zhao
Orthogonal time frequency space (OTFS) modulation is a new promising two-dimensional (2D) modulation technique for future wireless communication systems over high-mobility channels. To achieve the performance gain promised by OTFS, the unitary approximate message passing (UAMP) based detector is widely used due to its robustness, low complexity and superior performance. However, the complexity of the UAMP-based detector is high in the case of more practical waveforms, such as the rectangular waveform, which hinders its practical implementation. In this work, we propose a low complexity UAMP-based detector which inserts null symbols in the last few rows of the delay-Doppler domain according to the max delay of the time-varying channel, and exploits the circulant property of the equivalent channel matrix to simplify the calculation process of the UAMP detector. Simulation results show that the proposed detector has similar bit error rate (BER) performance as compared with the original UAMP detector, but exhibits much lower complexity.
正交时频空间(OTFS)调制是一种新的二维(2D)调制技术,适用于未来高移动信道的无线通信系统。为了实现OTFS所期望的性能增益,基于酉近似消息传递(UAMP)的检测器以其鲁棒性、低复杂度和优越的性能得到了广泛的应用。然而,在更实用的波形(如矩形波形)情况下,基于uamp的检测器的复杂性很高,这阻碍了其实际实施。在这项工作中,我们提出了一种低复杂度的基于UAMP的检测器,该检测器根据时变信道的最大延迟在延迟多普勒域的最后几行插入空符号,并利用等效信道矩阵的循环特性来简化UAMP检测器的计算过程。仿真结果表明,该检测器具有与原始UAMP检测器相似的误码率性能,但复杂度大大降低。
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引用次数: 0
An Improved OFDMA Design for Low-Cost Receivers 一种改进的OFDMA低成本接收机设计
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940435
Zeliang Ou, Hongwen Yang
This paper presents an improved orthogonal frequency-division multiple access (OFDMA) system design aiming to reduce the power consumption and the hardware complexity of low-cost user terminals. In conventional OFDMA systems, the analog-to-digital converters (ADCs) at user side contribute a considerable part to hardware complexity and energy consumption due to high sampling rate and high resolution quantization. In the proposed design, the base station uses block diagonalization precoding to cancel the interference among $K$ users; Each user adopts a low-cost ADC where the sampling rate is reduced to 1/$K$ of the Nyquist rate, and the number of quantization bits can be reduced to 2~3 bits. To address the problem of inter-symbol interference due to sub-Nyquist sampling and non-linear distortion due to quantization, the generalized approximate message passing (GAMP) algorithm is adopted at each receiver. Compared with conventional OFDMA systems, the proposed design can greatly reduce the hardware complexity and the power consumption of user receivers while keep the bit error rate performance acceptable.
本文提出了一种改进的正交频分多址(OFDMA)系统设计方案,旨在降低低成本用户终端的功耗和硬件复杂度。在传统的OFDMA系统中,由于高采样率和高分辨率量化,用户端的模数转换器(adc)造成了相当大的硬件复杂度和能耗。在该设计中,基站采用块对角化预编码来消除$K$用户之间的干扰;每个用户采用低成本ADC,采样率降低到奈奎斯特率的1/$K$,量化比特数可降低到2~3位。针对子奈奎斯特采样引起的码间干扰和量化引起的非线性失真问题,在每个接收端采用广义近似消息传递(GAMP)算法。与传统的OFDMA系统相比,该设计在保证误码率性能可接受的情况下,大大降低了用户接收机的硬件复杂度和功耗。
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引用次数: 0
Deep Learning-Based Rate-Splitting Multiple Access for Massive MIMO-OFDM Systems With Imperfect CSIT 具有不完全CSIT的大规模MIMO-OFDM系统中基于深度学习的分频多址
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940255
Minghui Wu, Ziwei Wan, Yang Wang, Shicong Liu, Zhen Gao
Due to the high dimensionality of the channel state information (CSI) in massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, acquiring accurate CSI at the transmitter (CSIT) with limited feedback overhead is difficult, severely degrading the performance of conventional SDMA beamforming techniques. To this end, this paper proposes a deep learning (DL)-based end-to-end (E2E) rate-splitting multiple access (RSMA) beam-forming scheme for massive MIMO-OFDM systems, including an analog beamforming network (ABN) and a model-driven RSMA digital beamforming network (RDBN). We adopt an E2E training approach to jointly train the proposed ABN and MRBN to obtain better beamforming performance. Numerical results show that the proposed DL-based E2E RSMA beam-forming scheme significantly improves the system capacity and outperforms the state-of-the-art schemes.
在大规模多输入多输出(MIMO)正交频分复用(OFDM)系统中,由于信道状态信息(CSI)的高维性,在有限的反馈开销下难以在发射机(CSIT)获取准确的CSI,严重降低了传统SDMA波束形成技术的性能。为此,本文提出了一种基于深度学习(DL)的端到端(E2E)速率分裂多址(RSMA)波束形成方案,用于大规模MIMO-OFDM系统,包括模拟波束形成网络(ABN)和模型驱动的RSMA数字波束形成网络(RDBN)。为了获得更好的波束形成性能,我们采用了E2E训练方法来联合训练ABN和MRBN。数值计算结果表明,提出的基于dl的端到端RSMA波束形成方案显著提高了系统容量,优于现有的波束形成方案。
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引用次数: 0
NOMA Made Practical: Removing the SIC Through Constructive Interference NOMA实现:通过建设性干扰去除SIC
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940434
Abdelhamid Salem, C. Masouros
In this paper a novel constructive multiple access (CoMA) scheme is proposed. The new CoMA technique aligns the superimposed signals to the users constructively to the signal of interest. Accordingly, there is no need to remove it at the receiver using successive interference cancellation (SIC) technique. In this regard, optimal CoMA precoders are designed for user paring NOMA multiple-input-single-output (MISO) systems. The results in this paper show that CoMA is an attractive solution for NOMA systems with low number of antennas, and transmission power.
本文提出了一种新的构造多址(CoMA)方案。新的CoMA技术将叠加信号与用户感兴趣的信号建设性地对齐。因此,不需要在接收端使用连续干扰消除(SIC)技术去除它。在这方面,最优的昏迷预编码器是为用户配对NOMA多输入单输出(MISO)系统设计的。研究结果表明,对于天线数量少、传输功率小的NOMA系统,彗发是一种有吸引力的解决方案。
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引用次数: 0
Reliability Analysis of Stochastic Geometry-based Multi-UAV-aided LEO-Satcom under OTFS OTFS下基于随机几何的多无人机辅助LEO-Satcom可靠性分析
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940412
Junfan Hu, Yi Jin, Jia Shi, Xuan Liu, Zhenfei Dai, Zan Li
To address the reliability threat of LEO satellite (LEO-Sat) to terrestrial communications, this paper proposes a novel network using mobile multi-UAV as decoded-and-forward (DF) relays under the orthogonal time frequency space (OTFS) scheme. In particular, OTFS is used to cope with the severe Doppler frequency shift of the LEO-Sat communication (LEO-Satcom) system with higher carrier frequency tendency and relatively high-speed mobility. The addition of mobile multi-UAV not only improves the coverage performance but also compensates for the severe path loss. Stochastic geometry theory is utilized to characterize the mobile model of UAVs and thus assist in the reliability performance analysis. Simulation results demonstrate that the proposed OTFS-based LEO-Satcom network has improved system reliability compared to the conventional time-frequency domain modulation scheme. The impact of UAVs' deployment properties on reliable transmission is further illustrated.
为解决低轨道卫星(LEO- sat)对地面通信的可靠性威胁,提出了一种基于正交时频空间(OTFS)方案的多架移动无人机中继解码器转发网络。特别是,OTFS用于应对载频倾向较高、移动速度较快的LEO-Sat通信(LEO-Satcom)系统的严重多普勒频移。移动多无人机的加入不仅提高了覆盖性能,而且弥补了严重的路径损失。利用随机几何理论对无人机的移动模型进行表征,从而辅助进行可靠性性能分析。仿真结果表明,与传统时频调制方案相比,提出的基于otfs的LEO-Satcom网络提高了系统可靠性。进一步说明了无人机的部署特性对可靠传输的影响。
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引用次数: 0
Energy Consumption Minimization for NOMA-Assisted Mobile Edge Computing noma辅助移动边缘计算的能耗最小化
Pub Date : 2022-10-19 DOI: 10.1109/ISWCS56560.2022.9940422
Hao Xu, Yao Zhu, Kai Xiang, Yulin Hu, A. Schmeink
In this paper, we investigate a non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) network supporting a time-sensitive computing task with data inputs being generated at and offloaded from multiple users. To minimize the energy consumption of both users and server, a joint power and computational resource allocation problem is formulated, which is unfortunately non-convex. To address the problem and obtain the global optimal solution, we first carefully characterize optimality conditions of the problem, and then provide an efficient approach to transform the problem to an equivalent convex one. Via numerical simulation, our analytical results are validated and the impacts of channel quality, task deadline and computation workload on the system performance are investigated and evaluated.
在本文中,我们研究了一种非正交多址(NOMA)辅助的移动边缘计算(MEC)网络,该网络支持在多个用户处生成和卸载数据输入的时间敏感计算任务。为了最大限度地减少用户和服务器的能源消耗,提出了一个联合功率和计算资源分配问题,不幸的是,该问题是非凸的。为了解决该问题并获得全局最优解,我们首先仔细地描述了问题的最优性条件,然后提供了将问题转化为等效凸问题的有效方法。通过数值模拟验证了我们的分析结果,并研究和评估了信道质量、任务期限和计算工作量对系统性能的影响。
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引用次数: 0
期刊
2022 International Symposium on Wireless Communication Systems (ISWCS)
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