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PAPR of DFT-s-OTFS With Pulse Shaping 带脉冲整形的DFT-s-OTFS的PAPR
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-12 DOI: 10.1109/LCOMM.2025.3643648
Jialiang Zhu;Sanoopkumar Pungayil Sasindran;Arman Farhang
Orthogonal Time Frequency Space (OTFS) suffers from high peak-to-average power ratio (PAPR) when the number of Doppler bins is large. To address this issue, a discrete Fourier transform spread OTFS (DFT-s-OTFS) scheme is employed by applying DFT spreading across the Doppler dimension. This letter presents a thorough PAPR analysis of DFT-s-OTFS using different pulse shaping filters and resource allocation strategies. Specifically, we derive a PAPR upper bound of DFT-s-OTFS of interleaved and block Doppler resource allocation schemes. Our analysis reveals that DFT-s-OTFS with interleaved allocation yields a lower PAPR than that of block allocation. Furthermore, we show that interleaved allocation produces a periodic time-domain signal composed of repeated quadrature amplitude modulated (QAM) symbols which simplifies the transmitter design. From our analytical results, the root raised cosine (RRC) pulse generally results in a higher maximum PAPR compared to the rectangular pulse. Simulation results confirm the validity of the derived PAPR upper bounds. Furthermore, we also demonstrate through BER simulation analysis that the DFT-s-OTFS gives the same performance as OTFS without DFT spreading.
当多普勒信道数目较大时,正交时频空间(OTFS)的峰均功率比(PAPR)较高。为了解决这个问题,采用离散傅立叶变换扩展OTFS (DFT-s-OTFS)方案,通过在多普勒维上应用DFT扩展。本文介绍了使用不同脉冲整形滤波器和资源分配策略的DFT-s-OTFS的全面PAPR分析。具体地说,我们推导了交错和块多普勒资源分配方案的DFT-s-OTFS的PAPR上界。我们的分析表明,与块分配相比,交错分配的DFT-s-OTFS产生更低的PAPR。此外,我们还证明了交错分配产生由重复正交调幅(QAM)符号组成的周期时域信号,从而简化了发射机的设计。从我们的分析结果来看,与矩形脉冲相比,根提升余弦(RRC)脉冲通常会产生更高的最大PAPR。仿真结果证实了所推导的PAPR上界的有效性。此外,我们还通过误码率仿真分析证明了DFT-s-OTFS与没有DFT扩散的OTFS具有相同的性能。
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引用次数: 0
6D Movable Metasurface (6DMM) in Downlink NOMA Transmissions 下行NOMA传输中的6D可移动超表面(6DMM)
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-11 DOI: 10.1109/LCOMM.2025.3642810
Li-Hsiang Shen
This letter proposes a novel six-dimensional movable metasurface (6DMM)-assisted downlink non-orthogonal multiple access (NOMA) system, in which a conventional base station (BS) equipped with fixed antennas serves multiple users with the assistance of a reconfigurable intelligent surface (RIS) with six-dimensional spatial configurability. In contrast to traditional RIS with static surface, the proposed 6DMM architecture allows each element to dynamically adjust its position and orient the whole metasurface in yaw-pitch-roll axes, enabling both spatial and electromagnetic controls. We formulate a sum-rate maximization problem that jointly optimizes the BS NOMA-based beamforming, phase-shifts, element positions, and rotation angles of metasurface under constraints of NOMA power levels, unit-modulus of phase-shifts, power budget, inter-element separation and boundaries of element position/orientation. Due to non-convexity and high-dimensionality, we employ a probabilistic cross-entropy optimization (CEO) scheme to iteratively refine the solution distribution based on maximizing likelihood and elite solution sampling. Simulation results show that the proposed CEO-based 6DMM-NOMA architecture achieves substantial rate performance gains compared to 6DMM sub-structures, conventional static RIS, and other multiple access mechanisms. It also highlights the effectiveness of CEO providing probabilistic optimization for solving high-dimensional scalable metasurface.
这封信提出了一种新的六维可移动超表面(6DMM)辅助下行非正交多址(NOMA)系统,其中配备固定天线的传统基站(BS)在具有六维空间可配置性的可重构智能表面(RIS)的帮助下为多个用户提供服务。与具有静态表面的传统RIS相比,所提出的6DMM架构允许每个元素动态调整其位置,并在偏航-俯仰-滚转轴上调整整个超表面的方向,从而实现空间和电磁控制。在NOMA功率水平、相移单位模量、功率预算、单元间分离和单元位置/方向边界约束下,提出了一种联合优化基于BS NOMA的波束形成、相移、单元位置和超表面旋转角度的和速率最大化问题。由于非凸性和高维性,我们采用概率交叉熵优化(CEO)方案来迭代改进基于最大似然和精英解抽样的解分布。仿真结果表明,与6DMM子结构、传统静态RIS和其他多址机制相比,本文提出的基于ceo的6DMM- noma架构实现了显著的速率性能提升。它还强调了CEO为求解高维可扩展元表面提供概率优化的有效性。
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引用次数: 0
Statistical Delay Characterization for Visible Light Communication Under Realistic Dynamics 真实动态下可见光通信的统计延迟特性
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-11 DOI: 10.1109/LCOMM.2025.3639746
Lei Qian;Ang Li;Chenyan Zhang;Wenwen Jiang;Chenguang Zhang;Nuo Huang
The stochastic terminal rotations and random link blockages in visible light communication (VLC) systems can significantly degrade statistical delay performance. To address this, this letter aims to mathematically characterize the statistical delay for VLC systems. First, we propose a Markov-modulated Laplace process (MMLP) service model capturing burstiness from orientation dynamics and blockages. Then, we analytically derive the probability density function of the achievable transmission rate under dynamic channel conditions. Finally, we establish closed-form delay bounds using a unified exponential supermartingale construction. Monte Carlo simulations validate our bounds’ superior accuracy over traditional effective bandwidth/effective capacity methods, particularly in high-burstiness scenarios. Specifically, the proposed bound achieves a delay violation probability from 10-2 to 10-3 at a delay threshold of 1 ms, which meets the stringent requirements of delay-sensitive applications.
可见光通信(VLC)系统中的随机终端旋转和随机链路阻塞会显著降低统计延迟性能。为了解决这个问题,这封信的目的是数学表征VLC系统的统计延迟。首先,我们提出了一个马尔可夫调制拉普拉斯过程(MMLP)服务模型,该模型从方向动态和阻塞中捕获突发性。然后,解析导出了动态信道条件下可达传输速率的概率密度函数。最后,利用统一的指数上鞅构造建立了闭型延迟界。蒙特卡罗模拟验证了我们的边界比传统的有效带宽/有效容量方法具有更高的精度,特别是在高突发情况下。具体来说,在延迟阈值为1 ms的情况下,该绑定实现了10-2 ~ 10-3的延迟违反概率,满足了延迟敏感应用的严格要求。
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引用次数: 0
Detection and Performance Analysis of Near-Field Space Shift Keying 近场空间移位键控的检测与性能分析
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-04 DOI: 10.1109/LCOMM.2025.3640237
Yunfei Chen
This letter studies the effect of near field (NF) propagation on the detection of space shift keying signals when the mobile user either operates in the NF all the time or moves from the far field (FF) to the NF during operation. The performances of the maximum likelihood detectors in the NF, FF and mismatched cases are compared and also analyzed using the union bounds. Numerical results show that the NF case slightly outperforms the FF case due to the extra difference in the large-scale fading and that the mismatched case suffers from significant performance loss due to the change of propagation environment. This performance loss increases when the number of transmitting antennas, the number of receiving antennas or the signal-to-noise ratio increase. More importantly, the user location has a large impact in the mismatched case.
本文研究了当移动用户在近场(NF)中一直工作或在操作过程中从远场(FF)移动到近场(NF)时,近场(NF)传播对空间移位键控信号检测的影响。利用联合界对最大似然检测器在NF、FF和不匹配情况下的性能进行了比较和分析。数值结果表明,由于在大规模衰落中存在额外的差异,NF情况下的性能略优于FF情况,而不匹配情况下由于传播环境的变化,性能损失较大。这种性能损失随着发射天线数、接收天线数或信噪比的增大而增大。更重要的是,在不匹配的情况下,用户位置有很大的影响。
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引用次数: 0
Graph Reinforcement Learning-Based Transmission Scheduling for Underwater Acoustic Networks 基于图强化学习的水声网络传输调度
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-04 DOI: 10.1109/LCOMM.2025.3640402
Kaijing Yang;Qiao Xiao;Chaofeng Wang
This study addresses transmission scheduling in underwater acoustic (UWA) networks by optimizing transmission schedule and power allocation according to time availability and channel variations. The objective is to maximize network energy efficiency (EE) while minimizing transmission latency (TL). To capture transmission and interference relationships among links, a spatial-temporal (ST) graph is designed to represent the system state. Transmission scheduling is then formulated as a sequential decision-making process (SDP), where the optimal strategy is adaptively determined based on the graph-based system representation. Network performance is optimized using graph reinforcement learning (GRL), specifically through a graph policy gradient (GPG) approach. Simulation results demonstrate that the proposed method achieves higher EE and lower TL compared to benchmark methods.
本文针对水声(UWA)网络中的传输调度问题,根据时间可用性和信道变化对传输调度和功率分配进行优化。目标是最大化网络能效(EE),同时最小化传输延迟(TL)。为了捕获链路之间的传输和干扰关系,设计了一个时空(ST)图来表示系统状态。然后将传输调度制定为顺序决策过程(SDP),其中基于基于图的系统表示自适应确定最优策略。使用图强化学习(GRL)优化网络性能,特别是通过图策略梯度(GPG)方法。仿真结果表明,与基准方法相比,该方法实现了更高的EE和更低的TL。
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引用次数: 0
Space-Time-Color Scheme for Screen-to-Camera Communications 屏幕到摄像机通信的时空配色方案
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-03 DOI: 10.1109/LCOMM.2025.3639928
Leandro R. Ximenes;Igor S. C. Rodrigues;Miguel S. Pinheiro
This letter presents a unified framework to achieve space-time-color coding for screen-to-camera (S2C) communication. The novel approach integrates color-shift keying (CSK) modulation, tensor-based S2C modeling, and the visible light communications (VLC) scheme called color-hopping space-time (CHST) scheme to enable high-order, flicker-free video transmission. We further propose the alternating optimization for Khatri-Rao factorization (AO-KRF) algorithm for efficient symbol detection, achieving fast convergence and low complexity. Simulation and experimental results, including real video and real screen–smartphone setups under ambient light, confirm that AO-KRF attains good performance while reducing computational cost, making the framework suitable for real-time and realistic S2C communication scenarios.
这封信提出了一个统一的框架来实现屏幕到摄像机(S2C)通信的时空颜色编码。该新方法集成了色移键控(CSK)调制、基于张量的S2C建模和称为跳色时空(CHST)方案的可见光通信(VLC)方案,以实现高阶、无闪烁的视频传输。我们进一步提出了Khatri-Rao分解(AO-KRF)算法的交替优化,以实现高效的符号检测,实现快速收敛和低复杂度。仿真和实验结果,包括环境光下的真实视频和真实屏幕-智能手机设置,证实AO-KRF在降低计算成本的同时获得了良好的性能,使该框架适合实时和真实的S2C通信场景。
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引用次数: 0
Pulse OFDM-Based ISAC Sequence Design With Low Sidelobe Levels and PAPR Property 基于脉冲ofdm的低旁瓣电平和PAPR特性ISAC序列设计
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-12-03 DOI: 10.1109/LCOMM.2025.3639622
Jizhou Chen;Kainan Cheng;Jun Li;Jinyang He;Huiyong Li;Dezhi Wang;Ziyang Cheng
In pulse orthogonal frequency division multiplexing (OFDM)-based integrated sensing and communication (ISAC) systems, the embedding of communication signals typically leads to elevated autocorrelation sidelobe levels (SLLs) and increased peak-to-average power ratio (PAPR). This letter proposes a sequence design framework that jointly optimizes sensing and communication performance where a PAPR constraint is incorporated to regulate signal power fluctuations. To address the resulting non-convex problem, an efficient algorithm is developed by integrating the alternating direction method of multipliers (ADMM) with coordinate descent (CD). Simulations show the method achieves low SLLs below –30 dB while ensuring robust communication reliability.
在基于脉冲正交频分复用(OFDM)的集成传感与通信(ISAC)系统中,通信信号的嵌入通常会导致自相关旁瓣电平(SLLs)的升高和峰均功率比(PAPR)的增加。这封信提出了一个序列设计框架,共同优化传感和通信性能,其中纳入了PAPR约束来调节信号功率波动。为了解决由此产生的非凸问题,将乘法器的交替方向法(ADMM)与坐标下降法(CD)相结合,提出了一种有效的算法。仿真结果表明,该方法在保证鲁棒通信可靠性的同时实现了-30 dB以下的低sll。
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引用次数: 0
A Two-Stage Network for PLC Impulsive Noise Suppression and Channel Estimation PLC脉冲噪声抑制和信道估计的两级网络
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-11-28 DOI: 10.1109/LCOMM.2025.3638736
Yuanbo Liu;Weiyang Xu;Yucheng Wu
Existing methods for impulsive noise (IN) suppression in power line communication (PLC) suffer from error floors, particularly in frequency-selective channels. We introduce the multi-scale wavelet attention network (MSWANet), a two-stage deep learning framework to address this issue. The proposed architecture first leverages the frame preamble for initial channel estimation. The resulting channel state information (CSI) then guides the MSWANet in denoising the data symbols. MSWANet synergistically integrates wavelet transforms for efficient multiscale analysis with gated attention for precise feature fusion, allowing it to accurately separate sporadic IN from the desired signal. Validated on a public real-world noise dataset, this decoupled approach demonstrates at least 6.3 dB SINR gain over competing methods at a target bit error rate of $10^{-5}$ .
现有的电力线通信(PLC)脉冲噪声抑制方法存在误差层,特别是在频率选择信道中。我们引入了多尺度小波注意网络(MSWANet),一个两阶段深度学习框架来解决这个问题。所提出的架构首先利用帧前导进行初始信道估计。由此产生的信道状态信息(CSI)然后指导MSWANet去噪数据符号。MSWANet协同集成小波变换,用于有效的多尺度分析,并具有精确特征融合的门控注意,使其能够准确地从所需信号中分离零星的IN。在公开的真实世界噪声数据集上验证,这种解耦方法在目标误码率为10^{-5}$的情况下,比竞争方法至少获得6.3 dB SINR增益。
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引用次数: 0
Optimizing Satellite-to-Ground Station Pair Assignments Using Hybrid Links for Long-Distance Quantum Entanglement Distribution 利用混合链路优化卫星对地面站长距离量子纠缠分配
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-11-27 DOI: 10.1109/LCOMM.2025.3637904
Zhenhui Yang;Kechao Cai;Zhuoyue Chen;Jinbei Zhang
Quantum satellite networks enable entanglement distribution between ground stations, but existing single-satellite solutions relying solely on satellite-to-ground downlinks cannot effectively support long-distance entanglement distribution. To overcome this limitation, we propose a hybrid approach, Entanglement Distribution using Hybrid Links (ED-HL), which integrates both entanglement distribution using a single satellite (ED-SS) and entanglement distribution assisted by inter-satellite links (ED-IS), where satellites are equipped with quantum memories. The key challenge in ED-HL is to effectively coordinate satellites to distribute entanglement to ground stations via inter-satellite links and downlinks. We formulate this entanglement distribution problem as an integer programming problem, establish its submodularity, monotonicity and non-negativity properties, and design a greedy algorithm for its solution. Simulations based on real-world constellation data show that ED-HL significantly extends the entanglement distribution distance compared to single-satellite approaches.
量子卫星网络可以实现地面站之间的纠缠分配,但现有的单卫星解决方案仅依靠卫星到地面的下行链路,无法有效支持长距离纠缠分配。为了克服这一限制,我们提出了一种混合方法,使用混合链路的纠缠分布(ED-HL),它集成了使用单个卫星的纠缠分布(ED-SS)和卫星间链路辅助的纠缠分布(ED-IS),其中卫星配备了量子存储器。ED-HL的关键挑战是有效地协调卫星,通过星间链路和下行链路将纠缠分配给地面站。将该纠缠分布问题形式化为整数规划问题,建立了该问题的子模性、单调性和非负性,并设计了贪心算法求解该问题。基于真实星座数据的仿真表明,与单星方法相比,ED-HL方法显著延长了纠缠分布距离。
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引用次数: 0
Attention-Driven Semantic Transmission Scheme for AI-Native Wireless Communications 人工智能原生无线通信的注意力驱动语义传输方案
IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS Pub Date : 2025-11-26 DOI: 10.1109/LCOMM.2025.3637247
Ki-Ho Lee;Hyun-Ho Choi;Jung-Ryun Lee
This letter proposes an attention-driven semantic transmission scheme for AI-native wireless communications. Leveraging self-attention scores from a pretrained bidirectional encoder representations from Transformers (BERT) model, the framework prioritizes semantically important tokens in both initial transmission and retransmission stages, without task-specific supervision. Experiments on sentences from public web sources confirm consistent improvements over conventional baselines in semantic fidelity, measured by cosine similarity and BERTScore. This model-agnostic approach provides a practical solution for robust and bandwidth-efficient communication, supporting future AI-native systems that prioritize meaning preservation over exact symbol reconstruction.
本文提出了一种用于人工智能原生无线通信的注意力驱动语义传输方案。利用来自变形金刚(BERT)模型的预训练双向编码器表示的自注意分数,该框架在初始传输和重传输阶段对语义上重要的标记进行优先级排序,而无需特定于任务的监督。通过余弦相似度和BERTScore测量,对来自公共网络资源的句子的实验证实了在语义保真度方面比传统基线有一致的改进。这种与模型无关的方法为稳健和带宽高效的通信提供了一个实用的解决方案,支持未来的人工智能本地系统,优先考虑意义保存而不是精确的符号重建。
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引用次数: 0
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