Network Topology & Capacity Design
Optimal build-out and expansion of network graphs.
QG-GRAPH
Telecom & Computer Networks
Networks that reconfigure faster than they degrade.
Topology design, spectrum assignment, and edge task scheduling are graph and scheduling problems at a scale that punishes exhaustive search. We measure the difference on a live edge-computing workload, not a lab benchmark.
The problem
Topology, spectrum and scheduling — all graph-shaped.
Network build-out, frequency assignment, and edge task scheduling all reduce to variants of graph-colouring and combinatorial routing under conflict. As networks densify and traffic gets more dynamic, the gap between a workable configuration and the best one widens — and it widens fastest exactly where load is highest.
What we optimize
Three solutions, three archetypes.
Spectrum & Resource Allocation
Frequency and channel assignment — a graph-colouring problem.
QG-GRAPH
Traffic Routing & Edge Task Scheduling
Dynamic load balancing and MEC scheduling. 13.1% latency improvement demonstrated.
QG-ROUTEQG-SCHED
The engines behind it
Built on the mature engines.
Proof
A real result, not a projection.
13.1%Job-latency improvement — preliminary, 300-task MEC workload
300Tasks in the benchmarked scheduling workload
Preliminary until independently revalidated; methodology shared under NDA. QG-GRAPH's network-topology and spectrum-allocation work is research-stage — no published number for those yet.
Have a network to optimize?
Share topology, spectrum or scheduling data; we'll benchmark against your current approach and give you a clear read.
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