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Cache-Aided Cooperative Device-to-Device (D2D) Networks: A Stochastic Geometry View

机译:缓存辅助的协作式设备到设备(D2D)网络:随机几何视图

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摘要

Caching is a promising technique for 5G networks to reduce the backhual traffic and increase the overall network efficiency. In this paper, we study the caching placement policy with consideration of cooperative transmission for a two-hop relay-enabled device-to-device (D2D) network. In the caching placement phase, the probabilistic caching placement policy is considered, and in the content transmission phase, the hybrid automatic repeat request (HARQ) scheme with soft information combining [i.e., energy accumulation (EA) and mutual-information accumulation (MIA)] is utilized to improve the content retrieval experience. Cache-aided successful transmission probability (CSTP) is adopted as the main performance metric in this paper. By using tools from stochastic geometry, analytical expressions for the CSTP under different transmission schemes are derived. In moderate or high SIR regime, the optimal caching placement policy is identified based on the analytical expression and the CSTP performance is maximized accordingly. Evaluation results suggest that the MIA-based caching strategy performs better as opposed to existing strategies in most cases, but this outperformance vanishes when the transmission environment becomes severe or when users' requests become concentrated.
机译:对于5G网络而言,缓存是一种有前途的技术,可减少回程流量并提高整体网络效率。在本文中,我们研究了考虑到两跳中继启用的设备到设备(D2D)网络的协作传输的缓存放置策略。在缓存放置阶段,考虑概率缓存放置策略,在内容传输阶段,考虑具有软信息的混合自动重传请求(HARQ)方案,该软信息结合了[即能量累积(EA)和互信息累积(MIA)利用来改善内容检索体验。本文采用缓存辅助成功传输概率(CSTP)作为主要性能指标。通过使用来自随机几何的工具,可以得出不同传输方案下CSTP的解析表达式。在中等或较高的SIR方案中,基于解析表达式确定最佳缓存放置策略,并相应地最大化CSTP性能。评估结果表明,在大多数情况下,基于MIA的缓存策略在性能上要优于现有策略,但是当传输环境变得严峻或用户的需求变得集中时,这种出色的性能就会消失。

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