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The recent introduction of vector coded caching has revealed that multi-ranktransmissions in the presence of receiver-side cache content can dramaticallyameliorate the file-size bottleneck of coded caching and substantially boostperformance in error-free wire-like channels. We here employ large-matrixanalysis to explore the effect of vector coded caching in realistic wirelessmulti-antenna downlink systems. Our analysis answers a simple question: Under afixed set of antenna and SNR resources, and a given downlink MISO system whichcan already enjoy an optimized exploitation of multiplexing and beamforminggains, what is the multiplicative boost in the throughput when we are nowallowed to occasionally add content inside reasonably-sized receiver-sidecaches? The derived closed-form expressions capture various linear precoders,and a variety of practical considerations such as power dissemination acrosssignals, realistic SNR values, as well as feedback costs. The schemes are verysimple (we simply collapse precoding vectors into a single vector), and therecorded gains are notable. For example, for 32 transmit antennas, a receivedSNR of 20 dB, a coherence bandwidth of 300 kHz, a coherence period of 40 ms,and under realistic file-size and cache-size constraints, vector coded cachingis here shown to offer a multiplicative throughput boost of about 310% withZF/RZF precoding and a 430% boost in the performance of already optimizedMF-based systems. Interestingly, vector coded caching also accelerates channelhardening to the benefit of feedback acquisition, often surpassing 540% gainsover traditional hardening-constrained downlink systems.

Vector Coded Caching Multiplicatively Boosts the Throughput of Realistic Downlink Systems