Distributed MIMO Precoding with Routing Constraints in Segmented Fronthaul
Jale Sadreddini, Omer Haliloglu, Andres Reial

TL;DR
This paper investigates how a two-level data routing scheme in distributed MIMO systems with segmented fronthaul affects radio performance, highlighting the importance of segment capacity and routing length in maintaining connection quality.
Contribution
It introduces a practical routing framework for D-MIMO with segmented fronthaul and analyzes its impact on SINR and connection reliability under capacity constraints.
Findings
Limited fronthaul capacity causes connection failures, especially with longer routing paths.
Adjusting segment capacity near the DU reduces connection failures.
Proper maximum path length settings improve user equipment (UE) performance.
Abstract
Distributed Multiple-Input and Multiple-Output (D-MIMO) is envisioned to play a significant role in future wireless communication systems as an effective means to improve coverage and capacity. In this paper, we have studied the impact of a practical two-level data routing scheme on radio performance in a downlink D-MIMO scenario with segmented fronthaul. At the first level, a Distributed Unit (DU) is connected to the Aggregating Radio Units (ARUs) that behave as cluster heads for the selected serving RU groups. At the second level, the selected ARUs connect with the additional serving RUs. At each route discovery level, RUs and/or ARUs share information with each other. The aim of the proposed framework is to efficiently select serving RUs and ARUs so that the practical data routing impact for each User Equipment (UE) connection is minimal. The resulting post-routing…
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Taxonomy
MethodsSparse Evolutionary Training
