论文标题

超越5G网络:通信,计算,缓存和控制的集成

Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control

论文作者

Adam, Musbahu Mohammed, Zhao, Liqiang, Wang, Kezhi, Han, Zhu

论文摘要

近年来,智能设备及其智能应用的指数扩散对传统的蜂窝网络构成了严重的挑战。可以通过整合通信,计算,缓存和控制(I4C)技术来克服此类挑战。在这项调查中,我们首先给出了I4C不同方面的快照,包括背景,动机,领先的技术推动力,潜在的应用和用例。接下来,我们描述了不同的通信,计算,缓存和控制模型(4C),以奠定集成方法的基础。我们回顾了与I4C有关的当前最新研究工作,重点是基于常规和人工智能(AI)基于的集成方法的最新趋势。我们还强调了资源集成中智能的需求。然后,我们讨论感应和交流的集成(ISAC),并将集成方法分类为各个类别。最后,我们提出了公开挑战,并为超越5G网络(例如6G)提出了未来的研究方向。

In recent years, the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks. Such challenges can be potentially overcome by integrating communication, computing, caching, and control (i4C) technologies. In this survey, we first give a snapshot of different aspects of the i4C, comprising background, motivation, leading technological enablers, potential applications, and use cases. Next, we describe different models of communication, computing, caching, and control (4C) to lay the foundation of the integration approach. We review current state-of-the-art research efforts related to the i4C, focusing on recent trends of both conventional and artificial intelligence (AI)-based integration approaches. We also highlight the need for intelligence in resources integration. Then, we discuss integration of sensing and communication (ISAC) and classify the integration approaches into various classes. Finally, we propose open challenges and present future research directions for beyond 5G networks, such as 6G.

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