矢量编码高速缓存成倍提高实际下行链路系统的吞吐量
Vector Coded Caching Multiplicatively Boosts the Throughput of Realistic Downlink Systems
摘要：
最近引入的矢量编码缓存已经揭示，在接收器侧缓存内容的存在下的多级传输可以显着改善编码缓存的文件大小瓶颈，并大大提高无错误的有线信道中的性能。在这里，我们采用大矩阵分析，以探讨矢量编码缓存在现实的无线多天线下行链路系统的效果。我们的分析回答了一个简单的问题：在一组固定的天线和SNR资源，以及一个给定的下行链路MISO系统，已经可以享受优化利用复用和波束成形增益，什么是倍增的吞吐量提升时，我们现在被允许偶尔添加内容内合理大小的接收端缓存？导出的封闭形式的表达式捕获各种线性预编码器，和各种实际的考虑，如跨信号的功率传播，现实的SNR值，以及反馈成本。该方案非常简单（我们简单地将预编码向量压缩成单个向量），并且记录的增益是显著的。例如，对于32个发射天线，20 dB的接收SNR，300 kHz的相干带宽，40 ms的相干周期，并且在实际的文件大小和高速缓存大小约束下，矢量编码高速缓存在这里被示出为利用ZF/RZF预编码提供约310%的乘法吞吐量提升，并且在已经优化的基于MF的系统的性能中提供430%的提升。有趣的是，矢量编码缓存也加速了信道硬化，以获得反馈，通常超过传统硬化约束下行链路系统的540%增益。
英文摘要：
The recent introduction of vector coded caching has revealed that multi-rank transmissions in the presence of receiver-side cache content can dramatically ameliorate the file-size bottleneck of coded caching and substantially boost performance in error-free wire-like channels. We here employ large-matrix analysis to explore the effect of vector coded caching in realistic wireless multi-antenna downlink systems. Our analysis answers a simple question: Under a fixed set of antenna and SNR resources, and a given downlink MISO system which can already enjoy an optimized exploitation of multiplexing and beamforming gains, what is the multiplicative boost in the throughput when we are now allowed to occasionally add content inside reasonably-sized receiver-side caches? The derived closed-form expressions capture various linear precoders, and a variety of practical considerations such as power dissemination across signals, realistic SNR values, as well as feedback costs. The schemes are very simple (we simply collapse precoding vectors into a single vector), and the recorded gains are notable. For example, for 32 transmit antennas, a received SNR 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 caching is here shown to offer a multiplicative throughput boost of about 310% with ZF/RZF precoding and a 430% boost in the performance of already optimized MF-based systems. Interestingly, vector coded caching also accelerates channel hardening to the benefit of feedback acquisition, often surpassing 540% gains over traditional hardening-constrained downlink systems.
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