Fronthaul Compression Control for shared Fronthaul Access Networks
Sandra Lag\'en, Xavier Gelabert, Andreas Hansson, Manuel Requena,, Lorenza Giupponi

TL;DR
This paper investigates fronthaul compression control strategies for shared fronthaul access networks in 5G, proposing methods that significantly improve user throughput under capacity constraints through optimized modulation and SRS handling.
Contribution
It introduces novel fronthaul compression and scheduling strategies for multi-cell scenarios, enhancing throughput efficiency in virtualized RAN architectures.
Findings
Optimized modulation compression yields 5.2x to 6.9x throughput gains.
SRS handling methods add an extra 2% to 41% throughput improvement.
Simulation confirms effectiveness of proposed strategies in 5G NR system.
Abstract
There is a widely held belief that future Radio Access Network (RAN) architectures will be characterized by increased levels of virtualization, whereby base station functionalities, traditionally residing at a single location, will be scattered across different logical entities while being interfaced via high-speed fronthaul (FH) links. For the deployment of such FH links, operators are faced with the challenge of maintaining acceptable radio access performance while at the same time keeping deployment costs low. A common practice is to exploit statistical multiplexing by allowing several cells to utilize the same FH link. As a result, in order to cope with the resulting aggregated traffic, different techniques can be used to reduce the required FH data rates. Herein, we focus on FH compression control strategies for multiple-cell/multiple-user scenarios sharing a common FH link. We…
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Taxonomy
TopicsTelecommunications and Broadcasting Technologies · Advanced MIMO Systems Optimization · Power Line Communications and Noise
