Increased capacity in the access network poses capacity challenges on the transport network due to the aggregated traffic. However, there are spatial and time correlation in the user data demands that could potentially be utilized. To that end, we investigate a wireless transport network architecture that integrates beamforming and coded-caching strategies. Especially, our proposed design entails a server with multiple antennas that broadcasts content to cache nodes responsible for serving users. Traditional caching methods face the limitation of relying on the individual memory with additional overhead. Hence, we develop an efficient genetic algorithm-based scheme for beam optimization in the coded-caching system. By exploiting the advantages of beamforming and coded-caching, the architecture achieves gains in terms of multicast opportunities, interference mitigation, and reduced peak backhaul traffic. A comparative analysis of this joint design with traditional, un-coded caching schemes is also conducted to assess the benefits of the proposed approach. Additionally, we examine the impact of various buffering and decoding methods on the performance of the coded-caching scheme. Our findings suggest that proper beamforming is useful in enhancing the effectiveness of the coded-caching technique, resulting in significant reduction in peak backhaul traffic.

翻译：接入网络容量提升对传输网络提出了容量挑战，这是由于流量聚合所致。然而，用户数据需求中存在可资利用的空间与时间相关性。为此，我们研究了一种融合波束成形与编码缓存策略的无线传输网络架构。具体而言，所提方案采用配备多天线的服务器，向负责服务用户的缓存节点广播内容。传统缓存方法受限于依赖单个存储器及额外开销，因此我们开发了一种基于高效遗传算法的编码缓存系统波束优化方案。通过利用波束成形与编码缓存的双重优势，该架构在多播机会、干扰抑制及峰值回程流量降低方面取得了增益。本文还对比分析了该联合设计方案与传统非编码缓存方案的性能，以评估所提方法的优势。此外，我们考察了不同缓冲与解码方法对编码缓存方案性能的影响。研究结果表明，合理的波束成形能有效增强编码缓存技术效能，从而显著降低峰值回程流量。