5G End To End Capacity & Performance
5G promises extreme throughput and high spectral efficiency.
In real deployments, these gains are often not realized — even under excellent radio conditions.
Our 5G End-to-End Capacity & Performance (EtE-C&P) analysis identifies why, by correlating transport behavior, protocol-layer dynamics, and radio efficiency into a single performance view.
Our Expertise
We provide vendor-agnostic 5G EtE-C&P analysis and optimization, covering:
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Downlink and uplink throughput validation
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Transport-layer behavior (TCP / HTTP / QUIC)
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PDCP performance in 5G standalone and LTE+NewRadio Dual Connectivity
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Spectral Efficiency evaluation under real traffic
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Root-cause analysis across Core, RAN, Transport, Server and UE
Our focus is beside peak KPIs, also sustained, usable capacity.
Transport-Aware 5G Performance Analysis
We analyze how server behavior, congestion control, and retransmissions directly affect:
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PDCP stability
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Scheduler efficiency
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Achievable throughput and Spectral Effieciency [bits/RE]
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Available Ressource Elements are obtained considering all overhead and losses e.g. Reference Signals
We identify critical PDCP failure modes such as:
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Out-of-Window discards across MCG and SCG
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Reordering timer expiry due to Out Of Sequence
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Latency asymmetry between LTE and NR legs
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Uplink NR to LTE leg switching because of low SINR
These losses occur above RLC/HARQ and are invisible to traditional radio KPIs — yet harmful for performance.
Deep PDCP & EN-DC Expertise
Spectral Efficiency as an End-to-End Metric
We evaluate spectral efficiency as a system outcome, not just a radio indicator:
Our analysis correlates:
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MCS, CQI, transmission layers and rank
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TCP/IP Traffic patterns and Physical Layer Indicators
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Server-side behavior and transport dynamics
This reveals why:
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Increasing parallel HTTP sessions does not always improve SE
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Identical radio conditions can yield very different spectral efficiency
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Server choice and TCP Flow Control alone can shift SE distributions significantly