Information-Centric Offloading in Cellular Networks with Coordinated Device-to-Device Communication
Asma Afzal, Syed Ali Raza Zaidi, Des McLernon, Mounir Ghogho

TL;DR
This paper develops an analytical framework for cache-enabled cellular networks with coordinated device-to-device communication, analyzing user offloading, helper selection schemes, and network performance using stochastic geometry.
Contribution
It introduces a comprehensive stochastic geometry-based model for D2D offloading with helper selection schemes and characterizes key performance metrics.
Findings
Nearest helper selection outperforms uniform selection.
Significant performance gains with content-aware D2D offloading.
Optimal number of D2D helpers balances performance and complexity.
Abstract
In this paper, we develop a comprehensive analytical framework for cache enabled cellular networks overlaid with coordinated device-to-device (D2D) communication. We follow an approach similar to LTE Direct, where the base station (BS) is responsible for establishing D2D links. We consider that an arbitrary requesting user is offloaded to D2D mode to communicate with one of its 'k' closest D2D helpers within the macrocell subject to content availability and helper selection scheme. We consider two different D2D helper selection schemes: 1) uniform selection (US), where the D2D helper is selected uniformly and 2) nearest selection (NS), where the nearest helper possessing the content is selected. Employing tools from stochastic geometry, we model the locations of BSs and D2D helpers using independent homogeneous Poisson point processes (HPPPs). We characterize the D2D mode probability of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCaching and Content Delivery · Advanced MIMO Systems Optimization · Green IT and Sustainability
