Optimizing spatial throughput in device-to-device networks

TL;DR

This paper develops a simple formula for optimizing device-to-device spatial throughput in cellular networks using stochastic geometry models, enabling better interference management while maintaining spectral efficiency.

Contribution

It introduces a straightforward method to optimize device activity levels for improved throughput based on stochastic geometry models incorporating fading and shadowing effects.

Findings

Derived a formula for throughput optimization

Applicable to multi-tier and closed access networks

Enhances interference management strategies

Abstract

Results are presented for optimizing device-to-device communications in cellular networks, while maintaining spectral efficiency of the base-station-to-device downlink channel. We build upon established and tested stochastic geometry models of signal-to-interference ratio in wireless networks based on the Poisson point process, which incorporate random propagation effects such as fading and shadowing. A key result is a simple formula, allowing one to optimize the device-to-device spatial throughput by suitably adjusting the proportion of active devices. These results can lead to further investigation as they can be immediately applied to more sophisticated models such as studying multi-tier network models to address coverage in closed access networks.