Paper Info
Title
SCAROS: A Scalable and Robust Self-Backhauling Solution for Highly Dynamic Millimeter-Wave Networks
Abstract
Millimeter-wave (mmWave) backhauling is key to ultra-dense deployments in beyond-5G networks because providing every base station with a dedicated fiber-optic backhaul link to the core network is technically too complicated and economically too costly. Self-backhauling allows the operators to provide fiber connectivity only to a small subset of base stations (Fiber-BSs), whereas the rest of the base stations reach the core network via a (multi-hop) wireless link towards the Fiber-BS. Although a very attractive architecture, self-backhauling is proven to be an NP-hard route selection and resource allocation problem. The existing self-backhauling solutions lack practicality because: <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(i)$ </tex-math></inline-formula> they require solving a fairly complex combinatorial problem every time there is a change in the network (e.g., channel fluctuations), or <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(ii)$ </tex-math></inline-formula> they ignore the impact of network dynamics which are inherent to mobile networks. In this article, we propose SCAROS which is a semi-distributed learning algorithm that aims at minimizing the end-to-end latency as well as enhancing the robustness against network dynamics including load imbalance, channel variations, and link failures. We benchmark SCAROS against state-of-the-art approaches under a real-world deployment scenario in Manhattan and using realistic beam patterns obtained from off-the-shelf mmWave devices. The evaluation demonstrates that SCAROS achieves the lowest latency, at least <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.8\times $ </tex-math></inline-formula> higher throughput, and the highest flexibility against variability or link failures in the system.
Year
DOI
Venue
2019
10.1109/JSAC.2019.2947925
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Base stations,Optical fiber networks,Interference,Throughput,Heuristic algorithms,Robustness
Extremely high frequency,Backhaul (telecommunications),Computer science,Computer network,Electronic engineering,Scalability
Journal
Volume
Issue
ISSN
37
12
0733-8716
Citations 
PageRank 
References 
2
0.42
0
Authors
5
Name
Order
Citations
PageRank
Andrea Ortiz1274.68
Arash Asadi2718.16
Gek Hong Sim3386.93
Daniel Steinmetzer4698.50
Matthias Hollick575097.29