# Distributed Path Selection Strategies for Integrated Access and Backhaul at mmWaves

arXiv: https://arxiv.org/abs/1805.04351 · HTML: https://mlsanity.com/paper/1805.04351/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2018.

## Built on by (most cited first, 2 of 2)

- [On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach](https://mlsanity.com/paper/2102.07252/) (2021)
- [Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks](https://mlsanity.com/paper/2305.16170/) (2023)

## Abstract (arXiv)

The communication at mmWave frequencies is a promising enabler for ultra high data rates in the next generation of mobile cellular networks (5G). The harsh propagation environment at such high frequencies, however, demands a dense base station deployment, which may be infeasible because of the unavailability of fiber drops to provide wired backhauling. To address this issue, 3GPP has recently proposed a Study Item on Integrated Access and Backhaul (IAB), i.e., on the possibility of providing the wireless backhaul together with the radio access to the mobile terminals. The design of IAB base stations and networks introduces new research challenges, especially when considering the demanding conditions at mmWave frequencies. In this paper we study different path selection techniques, using a distributed approach, and investigate their performance in terms of hop count and bottleneck Signal-to-Noise-Ratio (SNR) using a channel model based on real measurements. We show that there exist solutions that decrease the number of hops without affecting the bottleneck SNR and provide guidelines on the design of IAB path selection policies.