Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-antenna Dense Small Cell Networks
Yongxu Zhu, Gan Zheng, Lifeng Wang, Kai-Kit Wong, and Liqiang Zhao

TL;DR
This paper analyzes cache placement strategies in multi-antenna dense small cell networks operating at sub-6 GHz and millimeter-wave frequencies, proposing algorithms to optimize content delivery and balance cache diversity with popularity.
Contribution
It introduces a novel successful content delivery probability model for multi-antenna systems and proposes a constrained cross-entropy algorithm and a two-stair heuristic for content placement.
Findings
The two-stair algorithm outperforms simple popularity-based caching.
The constrained cross-entropy method achieves near-optimal content placement.
Tradeoff identified between caching capacity and density in mmWave systems.
Abstract
This paper studies the performance of cache-enabled dense small cell networks consisting of multi-antenna sub-6 GHz and millimeter-wave base stations. Different from the existing works which only consider a single antenna at each base station, the optimal content placement is unknown when the base stations have multiple antennas. We first derive the successful content delivery probability by accounting for the key channel features at sub-6 GHz and mmWave frequencies. The maximization of the successful content delivery probability is a challenging problem. To tackle it, we first propose a constrained cross-entropy algorithm which achieves the near-optimal solution with moderate complexity. We then develop another simple yet effective heuristic probabilistic content placement scheme, termed two-stair algorithm, which strikes a balance between caching the most popular contents and…
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Taxonomy
TopicsCaching and Content Delivery · Cooperative Communication and Network Coding · Opportunistic and Delay-Tolerant Networks
