# Towards Jointly Optimal Placement and Delivery: To Code or Not to Code in Wireless Caching Networks

## TL;DR

This paper develops a comprehensive caching framework that jointly optimizes placement and delivery costs in wireless networks, revealing when coded caching outperforms uncoded strategies under realistic cost considerations.

## Contribution

It introduces a general model accounting for costs in both placement and delivery phases, analyzing optimal caching strategies under various network architectures and constraints.

## Key findings

- Uncoded caching can outperform coded caching in certain cost regions.
- Coded caching benefits are significant only when placement and delivery architectures differ.
- Optimal solutions depend on network cost parameters and memory constraints.

## Abstract

Coded caching techniques have received significant attention lately due to their provable gains in reducing the cost of data delivery in wireless networks. These gains, however, have only been demonstrated under the assumption of a free placement phase. This unrealistic assumption poses a significant limitation, especially in cases where aggressive placement strategies can lead to a significant transmission cost that may even be higher than the corresponding cost of the delivery phase. In this paper, we relax this assumption and propose a general caching framework that captures the transmission cost of the two phases, and hence, results in minimizing the overall rate of the caching network. We model the dynamic nature of the network through a cost structure that allows for varying the network architecture and cost per transmission, across the placement and delivery phases. We start with the scenario where the individual users have no limit on the available caching memory and characterize the jointly optimal solution as a function of the different parameters in our cost structure. Then, we characterize the effect of memory constraints on the optimal solution in certain special cases. Interestingly, our results identify regions where the uncoded caching scheme outperforms its coded counterpart. Further, coded caching is shown to offer performance gains only when the network architecture during the placement phase is different from that during the delivery phase.

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Source: https://tomesphere.com/paper/1902.04600