# Optimal Caching and Scheduling for Cache-enabled D2D Communications

## TL;DR

This paper proposes a joint optimization framework for caching and scheduling in cache-enabled D2D communications to maximize offloading probability, demonstrating significant improvements over separate strategies.

## Contribution

It introduces a novel joint optimization approach for caching and scheduling policies in D2D networks, including an optimal scheduling factor and a low complexity caching solution.

## Key findings

- Optimal scheduling factor enhances interference control.
- Joint optimization significantly improves offloading gain.
- Low complexity caching distribution computation.

## Abstract

To maximize offloading gain of cache-enabled device-to-device (D2D) communications, content placement and delivery should be jointly designed. In this letter, we jointly optimize caching and scheduling policies to maximize successful offloading probability, defined as the probability that a user can obtain desired file in local cache or via D2D link with data rate larger than a given threshold. We obtain the optimal scheduling factor for a random scheduling policy that can control interference in a distributed manner, and a low complexity solution to compute caching distribution. We show that the offloading gain can be remarkably improved by the joint optimization.