论文标题
大型味o系统的低复杂性高性能循环缓存
Low-Complexity High-Performance Cyclic Caching for Large MISO Systems
论文作者
论文摘要
已知多安德滕纳编码的缓存将结合一个与整个网络中发现的累积高速缓存大小成正比的全局缓存增益,并具有额外的空间多路复用增益,该增益源于使用多个传输天线。但是,仔细观察显示了两个严重的瓶颈。当传达的文件大小是有限的时,众所周知的指数子包装瓶颈会大大降低性能,并且当SNR是有限的时,波束形成多播消息的相当优化的复杂性。我们在这里提出了一种完全新颖的缓存方案,称为\ emph {环状多端纳编码的缓存},其独特的结构允许在许多传输天线的关键状态下解决上述瓶颈。 For this regime, where the multiplexing gain can exceed the coding gain, our new algorithm is the first to achieve the exact one-shot linear optimal DoF with a subpacketization complexity that scales only linearly with the number of users, and the first to benefit from a multicasting structure that allows for exploiting uplink-downlink duality in order to yield optimized beamformers ultra-fast.最后,我们的新颖解决方案为具有有限SNR,有限文件大小和许多用户的网络提供了出色的性能。
Multi-antenna coded caching is known to combine a global caching gain that is proportional to the cumulative cache size found across the network, with an additional spatial multiplexing gain that stems from using multiple transmitting antennas. However, a closer look reveals two severe bottlenecks; the well-known exponential subpacketization bottleneck that dramatically reduces performance when the communicated file sizes are finite, and the considerable optimization complexity of beamforming multicast messages when the SNR is finite. We here present an entirely novel caching scheme, termed \emph{cyclic multi-antenna coded caching}, whose unique structure allows for the resolution of the above bottlenecks in the crucial regime of many transmit antennas. For this regime, where the multiplexing gain can exceed the coding gain, our new algorithm is the first to achieve the exact one-shot linear optimal DoF with a subpacketization complexity that scales only linearly with the number of users, and the first to benefit from a multicasting structure that allows for exploiting uplink-downlink duality in order to yield optimized beamformers ultra-fast. In the end, our novel solution provides excellent performance for networks with finite SNR, finite file sizes, and many users.