With emerging demands for local area and popular content
sharing services, multihop device-to-device communication is conceived as a
vital component of next-generation cellular networks to improve spectral reuse,
bring hop gains, and enhance system capacity. Ripening these benefits depends
on fundamentally understanding its potential performance impacts and efficiently
solving several main technical problems.
Aiming to establish a new paradigm for the analysis
and design of multihop D2D communications,
in this article, we propose a dynamic graph optimization
framework that enables the modeling of large-scale systems with multiple D2D
pairs and node mobility patterns. By inherently modeling the main technological
problems for multihop D2D communications, this framework benefits investigation
of theoretical performance limits and studying the optimal system design.
Furthermore, these achievable benefits are demonstrated by examples of
simulations under a realistic multihop D2D communication underlaying cellular
network.
GET FURTHER INSIGHT ON THE FRAMEWORK THE SLIDES BELOW.
