Cache-aided communications have shown potential for substantial improvement in network performance, which goes far beyond that of traditional caching. Traditional caching (i.e., the bringing and storing of data closer to the end users) is only efficient when a significant portion of the popular files can be locally stored. In cache-aided communications, however, information stored at one user is useful for interference mitigation even if it is requested only by another user. The core idea in cache-aided communication is to use this interferencecancellation opportunity to simultaneously serve multiple users by sending a sum of multiple packets. By creating opportunities for multicasting, the improved performance scales with the accumulated cache size at all users. This is a great advantage for modern networks, where the number of users is typically large, and a small amount of memory can easily be allocated at each user. This article presents the novel techniques of cache-aided communications while focusing on the signal processing aspects that lie in the heart of these schemes. In particular, we examine the three well-studied signal processing problems at the core of cache-aided communications: resource allocation, beamforming design, and interference mitigation.

中文翻译：

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协作无线移动缓存：信号处理视角

缓存辅助通信已显示出显着提高网络性能的潜力，这远远超出了传统缓存。传统的缓存（即，使数据更接近最终用户并存储）只有在流行文件的很大一部分可以本地存储时才有效。然而，在缓存辅助通信中，即使仅由另一用户请求，存储在一个用户处的信息也可用于减少干扰。缓存辅助通信的核心思想是利用这种干扰消除机会，通过发送多个数据包的总和来同时为多个用户提供服务。通过为多播创造机会，改进的性能随着所有用户的累积缓存大小而扩展。这是现代网络的一大优势，其中用户数量通常很大，并且可以轻松地为每个用户分配少量内存。本文介绍了缓存辅助通信的新技术，同时重点关注这些方案核心的信号处理方面。特别是，我们研究了缓存辅助通信核心的三个经过充分研究的信号处理问题：资源分配、波束成形设计和干扰抑制。