Modulation Compression in Next Generation RAN: Air Interface and Fronthaul trade-offs
Sandra Lagen, Lorenza Giupponi, Andreas Hansson, Xavier Gelabert

TL;DR
This paper surveys modulation compression techniques in 3GPP and O-RAN architectures, analyzing trade-offs between fronthaul capacity reduction and air interface performance through system-level simulations.
Contribution
It provides a comprehensive survey of architectures and fronthaul compression methods, and evaluates modulation compression trade-offs using detailed 5G NR simulations.
Findings
Up to 82% fronthaul capacity reduction with negligible performance impact at 64QAM.
Higher modulation reduction achieves up to 94% capacity savings in low/medium traffic.
Trade-offs depend on traffic load and NR numerologies.
Abstract
Modulation compression is a technique considered in the recent Open-RAN (O-RAN) framework, which has continued the 3GPP effort towards the definition of new virtualized and multi-vendor RAN architectures. Basically, fronthaul compression is achieved by means of reducing the modulation order, thus enabling a dramatic reduction of the required fronthaul capacity with a simple technique. In this work, we provide a survey of the architectures, functional splits, and fronthaul compression techniques envisioned in 3GPP and O-RAN. Then, we focus on assessing the trade-offs that modulation compression exhibits in terms of reduced fronthaul capacity versus the impact on the air interface performance, through a dynamic multi-cell system-level simulation. For that, we use an ns-3 based system-level simulator compliant with 5G New Radio (NR) specifications and evaluate different traffic load…
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