On the Stability of a Full-Duplex Aloha Network

TL;DR

This paper characterizes the stability of large full-duplex Aloha networks using stochastic geometry, revealing that full-duplex benefits are significant in sparse networks but limited in dense ones due to residual self-interference.

Contribution

It provides the first stability analysis of full-duplex large networks, including the effects of imperfect self-interference cancellation.

Findings

Full-duplex networks are more stable in sparse topologies.

Residual self-interference limits gains in dense networks.

Comparison with half-duplex networks highlights conditions for full-duplex advantages.

Abstract

This letter offers the first characterisation of the stability for full-duplex large size networks. Through stochastic geometry tools, key performance metrics like delay and maximum stable arrival rate are derived for the non saturated system and compared to a half-duplex counterpart, also accounting for imperfect self-interference cancellation. This analysis better identifies that the full-duplex advantage is prominent for sparse networks, whereas in dense topologies residual self-interference may hinder achievable gains.