IEEE Wireless Communications 2025年论文整理1（中英文摘要）
今天是2025年5月24日，在休息时间想看看最新的学术论文。通过论文速览模块筛选出几篇涉及"信道建模"""人工智能""通感整合"等主题的论文，并开发了涵盖摘要快速浏览功能的模块。方便大家快速定位感兴趣领域的研究并在IEEE数据库上进一步查阅。PS：由于我的知识储备有限，请多包涵。
【论文泛读1】IEEE Wireless Communications 2025年论文整理1（摘要）
- 1 CSI压缩技术在大规模MIMO中的应用：基于模型还是数据驱动？
- 2 协同集成感知与通信技术在6G中的研究：从操作者视角探讨
- 3 6G无线电信道探测：面临的挑战及可能的解决方案
- 4 生成式AI在语义通信中的应用：架构、挑战与前景
- 5 智能波形设计在感知与通信整合中的应用
- 6 基于感知与通信整合的6G数字孪生
1 CSI Compression for Massive MIMO: Model-Based or Data-Driven?（综述）
本研究涉及Chen Jie Hillery William J Mestav Kursat Rasim Nuzman Carl Saniee Iraj以及Xing Yunchou等6位研究者在2025年的2月完成了这项研究
Keywords : State feedback; Computational modeling; Transmitting antennas; Receiving antennas; Massive MIMO; Machine learning; Complexity theory; Uplink; Interoperability; Channel state information
Abstract
面向大规模 MIMO 的 CSI 压缩：基于模型还是基于数据？
摘要
2 Cooperative Integrated Sensing and Communication in 6G: From Operators Perspective（综述）
Wang Xiaoyun Han Zixiang Xi Rongyan Liu Guangyi Han Lincong Jin Jing Xue Yahui Ma Liang Wang Yajuan Jiang Tao Lou Mengting Wang Qixing Wang Jiangzhou 2025 February
Keywords : Autonomous aerial vehicles; Integrated sensing and communication; Wireless communication; Regulation; Object detection; Key performance indicator; Hardware; Protocols; Sensors; 5G mobile communication; 6G mobile communication; Costs; Cooperative systems
Abstract
6G 中的协同感知与通信一体化：来自运营商的视角
摘要
3 6G Radio Channel Sounding: Challenges and Potential Solutions（信道探测）
Fan Wei；Sun Hao；Lyu Yejiàn；Zhang Xiang；Borrill Jīngnghī；Zhang Jiānhuà；Dérǎ Bēnbèi；Zhang Fēngchūn February 2025
Keywords : Antenna measurement or Antennae measurements; 6G-based mobile communications or 6G mobile communication technologies; Wireless communications or Radio technologies; Time-frequency analysis techniques or methods; Phase measurement approaches or indicators; Machine learning algorithms or applications; Frequency diversity strategies or characteristics; Digital twin technologies or systems for simulation and modeling; Array configurations or structures for signal processing and optimization; Antenna array designs for enhanced performance in wireless networks, particularly in 5G and future generations of mobile networks (i.e., 6G); Advanced applications of machine learning in wireless communication systems
Abstract
6G无线系统的未来成功将依赖于新无线电技术的应用与创新。具体而言,这包括大规模天线阵列（ELAAs）的应用探索,现有与新兴频谱范围的开垦利用,机器学习与数字孪生理念的采纳采用等创新举措。基于不同部署场景中高精度信道测量仪收集到的信道数据进行建模,是开发与设计下一代无线系统的关键基础技术之一。然而,在新型天线配置、新型频段使用、新型部署场景引入以及新型无线电技术应用等情况下,支持6G研发与试验的信道测量仪面临着诸多严峻挑战。本文将围绕6G信道测量仪面临的挑战展开论述;随后介绍三种创新型信道测量仪的设计方案:最高可达330 GHz频段的支持可缩放天线与频率配置的虚拟阵列式无线电声测设备;具备远程光纤通信支持的空间无线电地图测量型长距离无线电声测设备,该设备可同时采集频域、时域及空间域丰富的大规模信道数据以支撑驱动型6G应用;最后介绍一种用于5G实时网络中的被动式无线电声测设备,该装置对于实现电磁辐射环境数字化孪生具有关键性作用。
6G 无线信道探测：挑战与潜在解决方案
摘要
- 生成式AI驱动语义通信体系：架构、挑战及前景
Xia & Le; Sun & Yao; Liang & Chengsi; Zhang & Lei; Imran & Muhammad Ali; Niyato & Dusit February 2025
Keywords : Semantic communication; Communication networks; Generative AI; Artificial intelligence; Multimodal sensors; Resource management; Performance evaluation; Encoding; Character recognition; Benchmark testing
Abstract
面向语义通信的生成式人工智能：架构、挑战与展望
摘要
5 Advanced Waveform Design for Integrated Sensing and Communication（基于集成感知与通信的波形设计）
张 Jeff先生；郭小华；张成文；赵氏集团；王氏集团；孔氏集团香港办公室；陈氏集团香港办公室
Radar system; Integrated sensing and communication systems; Cost analysis; Channel estimation techniques; Wireless sensor network technologies; Wireless communication technologies; Heuristic algorithm designs; Autonomous aerial vehicle technologies; Training methodologies; Signal processing techniques
Radar system, integrated sensing and communication systems, cost analysis, channel estimation techniques, wireless sensor network technologies, wireless communication technologies, heuristic algorithm designs, autonomous aerial vehicle technologies, training methodologies, signal processing techniques
Abstract
Integrated sensing and communication (ISAC) represents a unified paradigm to enhance spectral efficiency and reduce hardware costs by enabling the coexistence of communication and radar functionalities using the same spectral and hardware resources. Dual-functional (DF) waveform design, as an essential component of ISAC, often entails high-complexity, non-convex optimization algorithms, hindering its practical online deployment. Leveraging the robust predictive capabilities of deep learning (DL) and deep reinforcement learning (DRL), these technologies have emerged as viable and streamlined approaches for the online design of DF waveforms more suitable for the dynamic environment. Thus, in this article, we first provide a comprehensive overview of ISAC, with a particular focused examination of its waveform design. Then, we introduce DL/DRL and highlight its important roles in ISAC, especially in intelligent waveform design. Moreover, we develop DL- and DRL-based algorithms tailored for conventional DF waveform design, and simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surface (RIS)-aided DF waveform design, respectively. Simulation results verify the effectiveness of the developed algorithms, with emerging research directions presented.
面向感知通信一体化的智能波形设计
摘要
6 Integrated Sensing and Communication Frameworks Enabling 3D Holographic Digital Twins (数字孪生)
Zhang, Haijun; Zhang, Ziyang; Liu, Xiangnan; Li, Wei; Li, Haojin; Sun, Chen 2025 April
Keywords : 六代移动通信技术; 点云压缩技术; 评论/评价; 软传感器; 超分辨率技术; 合作/协作; 集成感知与通信系统; 实时系统; 数字孪生体/数字双胞胎; 空间分辨率
Abstract
随着6G网络提供超宽带宽和超低时延，并结合终端设备分辨率的提升，在 holographic communication的应用正在逐步实现。 holographic数字孪生（HDT）被视为 holographic通信的关键应用之一，在实时映射和预测物理实体状态的同时还具备三维重建空间信息的能力。在此背景下，集成感知与通信（ISAC）有望成为向HDT提供数据来源的关键途径。本文提出了一种基于ISAC的四层架构设计方法，并整合了新兴技术和关键组件以实现低成本、高精度环境数据采集的需求。具体而言，在提高感知分辨率方面我们将从参数估计和点云构建两个维度展开研究探索超分辨率技术的可能性；同时聚焦于多点协同感知方法以构建数字孪生并全面回顾节点选择、多频段协作、协同成像与数据融合四项核心技术的关键技术手段；最后我们对几个值得深入研究的方向进行了概述以期为后续研究工作提供启发性思考
面向 6G 全息数字孪生的感知通信一体化
摘要