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本期推荐
面向低空广域立体覆盖的ISAC理论与关键技术
作者:何其原,杨日艳,谢磊
[简介] 围绕低空经济驱动下的广域立体覆盖需求,本研究概述了通信感知一体化(ISAC)在低空智联网中的理论与技术进展。首先,从低空广域立体覆盖需求出发,分析低空场景下通信随机性与感知确定性的内在冲突,引入随机矩阵理论(RMT)确立通感性能的理论边界。随后,结合低空场景传播特性,重点分析多站协同感知、可重构智能表面(RIS)、可移动天线(MA)、空间-极化域联合优化,以及安全、隐私与可信监管等关键技术。本研究旨在为构建高可靠、高精度的智能化低空智联网提供坚实的理论支撑与技术路径。
突破无线移动通信蜂窝覆盖局限的路径探讨
作者:李建东,盛敏,刘俊宇
[简介]无线移动通信覆盖呈现人口密集区域过覆盖、低空立体空域欠覆盖、远域远海无覆盖的非均衡格局。传统蜂窝覆盖已难以满足密集化、立体化及广域按需覆盖需求。本文围绕如何突破移动通信系统平面蜂窝覆盖局限,阐述从信号覆盖到容量覆盖、从平面覆盖到立体覆盖、从固定覆盖到广域按需覆盖的技术途径,探讨密集无线移动网络中的重叠覆盖干扰管控规律、多棱柱立体覆盖结构、卫星系统和地面移动网络融合的广域按需覆盖等关键技术与基本原理,形成了广域立体密集无线移动通信覆盖体系,最后展望了该体系进一步增强的研究方向。
Deep CSI Compression and Feedback for Massive MIMO: A Survey
Lu Zhaohua, Yi Chenyang, Wu Jie, Shao Bo, Xu Wei
[Introduction]To achieve the potential performance gain of massive multiple-input multiple-output (MIMO) systems, base stations (BS) require downlink channel state information (CSI) fed back by users to execute beamforming design, especially in the frequency division duplex (FDD) systems. However, due to the enormous number of antennas in massive MIMO systems, the feedback overhead of downlink CSI acquisition is extremely large. To address this issue, deep learning (DL) techniques have been introduced to develop high-accuracy feedback strategies under limited backhaul constraints. In this paper, we provide an overview of DL-based CSI compression and feedback approaches in massive MIMO systems. Specifically, we introduce the conventional CSI compression and feedback schemes and the existing problems. Besides, we elaborate on various DL techniques employed in CSI compression from the perspective of network archittecture and analyze the advantages of different techniques. We also enumerate the applications of DL-based methods for solving practical challenges in CSI compression and feedback. In addition, we brief the remaining issues in deep CSI compression and indicate potential directions in future wireless networks.
Modern Graphics APIs: Design Principles, A Use Case and New Perspectives
Lu Ping, Sun Qi, Wang Chen, Guo Jie, Guo Yanwen, Shi Wenzhe
[Introduction] In this paper, we provide a comprehensive examination of the evolution of graphics Application Programming Interface (APIs). We begin by exploring traditional graphics APIs, elucidating their distinct features and inherent challenges. This sets the stage for a detailed exploration of modern graphics APIs, with a focus on four critical design principles. These principles are further analyzed through specific case studies and categorical examinations. The paper then introduces MoerEngine, a bespoke rendering engine, as a practical case to demonstrate the real-world application of these modern principles in software engineering. In conclusion, the study offers insights into the potential future trajectory of graphics APIs, spotlighting emerging design patterns and technological innovations. It also ventures to predict the development trends and capabilities of the next generation of graphics APIs..