论文标题
通过加速的一阶算法的多群多播多播无线回程的基础站的缓存
Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
论文作者
论文摘要
云无线电访问网络（C-RAN）被认为是下一代无线系统的有前途的架构，\ textColor {black} {support}迅速增加了对更高数据速率的需求。但是，C-RAN的性能受到回程容量的限制，尤其是对于无线部署。尽管已证明具有固定BS缓存的C-RAN可以减少回程消耗，但进一步优化具有多群集多播的BSS的缓存分配更具挑战性，其中集群间干扰会引起对缓存优化问题的额外非核心性。尽管面临挑战，但我们提出了一种加速的一阶算法，该算法的内容比二阶算法要高得多。仿真结果表明，通过同时向不同的多播群集传递所需的内容，所提出的算法的下载量率明显高于时间划分单分群体传输方案的算法。此外，发现所提出的算法将较大的高速缓存大小分配给较远的群集内的BSS，这为提出的高速缓存分配的优势提供了见识。
Cloud radio access network (C-RAN) has been recognized as a promising architecture for next-generation wireless systems to \textcolor{black}{support} the rapidly increasing demand for higher data rate. However, the performance of C-RAN is limited by the backhaul capacities, especially for the wireless deployment. While C-RAN with fixed BS caching has been demonstrated to reduce backhaul consumption, it is more challenging to further optimize the cache allocation at BSs with multi-cluster multicast backhaul, where the inter-cluster interference induces additional non-convexity to the cache optimization problem. Despite the challenges, we propose an accelerated first-order algorithm, which achieves much higher content downloading sum-rate than a second-order algorithm running for the same amount of time. Simulation results demonstrate that, by simultaneously delivering the required contents to different multicast clusters, the proposed algorithm achieves significantly higher downloading sum-rate than those of time-division single-cluster transmission schemes. Moreover, it is found that the proposed algorithm allocates larger cache sizes to the farther BSs within the nearer clusters, which provides insight to the superiority of the proposed cache allocation.
