Industries · Telecom
Telecom
Written for
RAN engineering and network planning at a mobile operator; security architecture for QKD-ready links.
The decision
How to get more capacity from spectrum already owned; where to place QKD hardware; which traffic is anomalous.
How it is done today
Vendor SON features and manual parameter tuning.
When it goes wrong New spectrum is expensive; a mis-tuned cluster loses throughput every day it stays mis-tuned.
Applications
| Application | You give | You get | Status |
|---|---|---|---|
| Carrier-aggregation optimisation Proof +10% average downlink on a live network, no new radio hardware | A cluster of cells and its parameters | The settings and the downlink comparison | Deployed through the platform network |
| Optical network routing and wavelength assignment Proof A 156-qubit run published in the platform network | The optical topology and demands | The routing and assignment | Deployed through the platform network |
| QKD hardware placement | The fibre network and the candidate sites | Where to place the QKD nodes | Deployed through the platform network |
| Network traffic anomaly detection | Traffic records | The anomalous flows | Deployed through the platform network |
| Where throughput is lost across the whole network | The network as an edge list | The response of the whole network, not cell by cell | Mapped |
| Customer segmentation from CRM data | CRM records | The segments | Deployed through the platform network |
What changes for you
- Measured on the live network, not in a simulator.
- No radio hardware added.
- The whole-network response is simulated the way the grid response is, past where the reference stops.
First engagement
You send One cluster of cells with its current parameters.
You get back The settings and the downlink comparison. Two weeks.
Proof · Carrier aggregation optimisation
Customer proof of concept · platform network
+10% downlink
average downlink speed on a live network, no added hardware; secondary-cell data volume up to +50%
Baseline The network operator’s existing carrier-aggregation settings
Platform Quantum-inspired solver, on the network operator’s live network, delivered through our platform network
Decision
How to raise capacity on spectrum already owned
What is modelled
Carrier-aggregation settings across the cells of a live network, as a combinatorial optimisation.
Operational outcome
- +10% average downlink speed
- No new radio hardware
- Measured on the live network, not in simulation
Problem size Live network · cell-level settings · one operator · Scope A proof of concept on one network; the +50% figure is an upper bound on secondary-cell volume.
Benchmark
Published reference Published telecom figures in the field state a percentage with no baseline and no date. public vendor and operator announcements, undated
Merlin +10% average downlink on a live network, no added hardware
Baseline The network operator’s existing settings
Further results in this industry
- Where throughput is lost across a network is the same simulation as the grid response, run on a network graph instead of a power network.
Platform network results
Results delivered through Merlin’s platform network, with the client anonymised to its sector and the figure quoted with its published conditions. These are not Merlin hardware runs.
TelecomPlatform network
More capacity from the spectrum you already own
~10% higher downlink
A mobile operator needed more throughput from the spectrum it already holds.
About 10% higher average downlink speed.
Delivered through Merlin’s platform network
Other industries
Semiconductors & advanced materials · Energy & utilities · Chemicals & process manufacturing · Mobility & automotive · Pharma & life sciences · Finance · Security & critical infrastructure · Aerospace & sovereign programmes