异构蜂窝网络中的联合缓存放置与请求路由优化

Marisangila Alves, Guilherme Piĉgas Koslovski
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引用次数: 0

摘要

5G服务质量(QoS)目标促进了异构蜂窝网络(HCN)的发展,这决定了应用程序可以依赖于低延迟和高带宽网络。但是,大量多媒体数据的并发请求由于冗余重传给回传和前传网络带来了负担,给QoS目标的实现带来了挑战。尽管移动网络运营商可以将内容放置在更靠近HCN边缘的位置,以提高整体QoS指标,但在考虑存储容量有限、内容受欢迎程度不同、设备移动性和网络拥塞的情况下,设计缓存策略仍然存在挑战。这项工作的创新之处在于,它引入了一种合作策略,将缓存放置和用户请求路由到HCN之上。该策略结合组网和缓存QoS需求,平衡前传网络负载,并将缓存动态映射到HCN资源。我们通过线性规划制定了缓存策略,并使用广泛的模拟场景深入评估了其性能。结果表明,即使受到内容流行分布和总HCN存储容量的变化的影响,所提出的网络感知策略也能降低网络延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Cache Placement and Request Routing Optimization in Heterogeneous Cellular Networks
The 5G Quality-of-Service (QoS) objectives con-tributed to the Heterogeneous Cellular Network (HCN) evolution, dictating that applications can rely on low-latency and high-bandwidth networks. However, concurrent requests of large amount of multimedia data generate a burden on the backhaul and fronthaul networks due to redundant retransmissions and pose challenges for achieving the QoS objectives. Although mobile network operators can place content closer to the HCN edge to improve the overall QoS indicators, there are still challenges to design a cache policy aware of limited storage capacity, different content popularity, device mobility, and network congestion. This work innovates by introducing a cooperative policy to join caches placement and routing users' requests atop an HCN. By combining networking and cache QoS requirements, the policy balances the fronthaul network load and dynamically maps the caches to HCN resources. We formulated the cache policy through linear programming and in-depth evaluated its performance using extensive simulation scenarios. The results indicate that the proposed network-aware policy decreases the network latency, even when subject to changes in content popularity distribution and total HCN storage capacity.
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