Optimal Caching and Scheduling for Cache-enabled D2D Communications

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.

To appear in IEEE Communications Letters

References in corpus (6)

• A Tractable Approach to Coverage and Rate in Cellular Networks
• Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights
• Optimal Geographic Caching In Cellular Networks
• Wireless Device-to-Device Caching Networks: Basic Principles and System Performance
• Fundamentals of Cluster-Centric Content Placement in Cache-Enabled Device-to-Device Networks
• The Effects of Mobility on the Hit Performance of Cached D2D Networks

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• Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-time Popularities
• Edge Intelligence: Architectures, Challenges, and Applications
• Cache-enabled Device-to-Device Communications: Offloading Gain and Energy Cost
• Optimizing Joint Probabilistic Caching and Communication for Clustered D2D Networks
• Fundamental Rate-Memory Tradeoff for Coded Caching in Presence of User Inactivity
• A Caching Strategy Towards Maximal D2D Assisted Offloading Gain
• Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks
• Throughput-Outage Scaling Behaviors for Wireless Single-Hop D2D Caching Networks with Physical Model -- Analysis and Derivations
• Energy Prioritized Caching for Cellular D2D Networks
• Optimized Caching and Spectrum Partitioning for D2D enabled Cellular Systems with Clustered Devices
• Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks
• Joint Caching and Resource Allocation in D2D-Assisted Wireless HetNet