Probabilistic Placement Optimization for Non-coherent and Coherent Joint Transmission in Cache-Enabled Cellular Networks
Tianming Feng, Shuo Shi, Shushi Gu, Wei Xiang, and Xuemai Gu

TL;DR
This paper develops probabilistic content placement strategies for cache-enabled cellular networks, optimizing joint transmission schemes with and without channel state information to improve successful transmission probability.
Contribution
It introduces a unified optimization framework for probabilistic content placement in cooperative cellular transmission, deriving analytical expressions and proposing algorithms for optimal solutions.
Findings
Optimized placement strategies significantly improve transmission success probability.
C-JT with CSI outperforms NC-JT without CSI in transmission success.
Proposed algorithms achieve near-optimal solutions with practical computational complexity.
Abstract
How to design proper content placement strategies is one of the major areas of interest in cache-enabled cellular networks. In this paper, we study the probabilistic content placement optimization of base station (BS) caching with cooperative transmission in the downlink of cellular networks. With placement probability vector being the design parameter, non-coherent joint transmission (NC-JT) and coherent joint transmission (C-JT) schemes are investigated according to whether channel state information (CSI) is available. Using stochastic geometry, we derive an integral expression for the successful transmission probability (STP) in NC-JT scheme, and present an upper bound and a tight approximation for the STP of the C-JT scheme. Next, we maximize the STP in NC-JT and the approximation of STP in C-JT by optimizing the placement probability vector, respectively. An algorithm is proposed…
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Taxonomy
TopicsCaching and Content Delivery · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
