Optimizing Joint Probabilistic Caching and Communication for Clustered D2D Networks
arXiv:1810.05510
Abstract
Caching at mobile devices and leveraging device-to-device (D2D) communication are two promising approaches to support massive content delivery over wireless networks. The analysis of such D2D caching networks based on a physical interference model is usually carried out by assuming that devices are uniformly distributed. However, this approach does not fully consider and characterize the fact that devices are usually grouped into clusters. Motivated by this fact, this paper presents a comprehensive performance analysis and joint communication and caching optimization for a clustered D2D network. Devices are distributed according to a Thomas cluster process (TCP) and are assumed to have a surplus memory which is exploited to proactively cache files from a known library, following a random probabilistic caching scheme. Devices can retrieve the requested files from their caches, from neighbouring devices in their proximity (cluster), or from the base station as a last resort. Three key performance metrics are optimized in this paper, namely, the offloading gain, energy consumption, and latency.
References in corpus (10)
- A Tractable Approach to Coverage and Rate in Cellular Networks
- Fractional Programming for Communication Systems--Part I: Power Control and Beamforming
- Optimal Geographic Caching In Cellular Networks
- Heterogeneous Cellular Networks with Spatio-Temporal Traffic: Delay Analysis and Scheduling
- Energy Efficiency of Downlink Networks with Caching at Base Stations
- Fundamentals of Cluster-Centric Content Placement in Cache-Enabled Device-to-Device Networks
- Caching in Wireless Small Cell Networks: A Storage-Bandwidth Tradeoff
- Optimal Caching and Scheduling for Cache-enabled D2D Communications
- Energy-delay-cost Tradeoff for Task Offloading in Imbalanced Edge Cloud Based Computing
- Energy and Delay Optimization for Cache-Enabled Dense Small Cell Networks