Cache-Aided Massive MIMO with Linear Precoding in Multi-cell Systems
Lin Xiang, Xiao Wei, Laura Cottatellucci, Robert Schober, and Tao, Jiang

TL;DR
This paper introduces a joint caching and massive MIMO transmission scheme for multi-cell downlink systems, leveraging user caches to improve spectral efficiency, interference mitigation, and pilot contamination reduction, with analytical and simulation validation.
Contribution
It proposes a novel cache-aided massive MIMO scheme with redesigned precoders based on cache status, enhancing content delivery rates and interference management in multi-cell systems.
Findings
Caching improves transmit power allocation.
Caching reduces intra- and inter-cell interference.
Caching mitigates pilot contamination effects.
Abstract
In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as \emph{cache-aided massive MIMO}, for multi-cell downlink transmission to multiple cache-enabled receivers. With the proposed scheme, users who have cached (a portion of) the files that they request are offloaded and, hence, (partially) inactive during downlink transmission. The other users either benefit from the cache-enabled offloading for mitigating pilot contamination or exploit the cached but unrequested files to cancel interference during uplink channel estimation and downlink file reception. Moreover, by redesigning the transmit precoders based on the cache status of the users and channel state information, we gain additional degrees of freedom for massive MIMO transmission. For a given cache status, we analyze the equivalent content delivery rates…
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Taxonomy
TopicsCaching and Content Delivery · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
