DSC-3 solves spectrum allocation, cell placement, and traffic engineering in milliseconds for networks with thousands of cells.
Assigning frequencies across thousands of cells while minimizing interference is a graph coloring problem of enormous scale.
Optimal placement of base stations, fiber routes, and edge compute requires solving facility location problems with coverage constraints.
Real-time routing of traffic across mesh networks with dynamic demand, QoS requirements, and link failures.
Map frequency assignment to Ising models with interference penalties. Graph coloring for optimal allocation across entire metropolitan areas in milliseconds.
Coverage maximization with minimum infrastructure. QUBO formulation handles terrain, population density, and CAPEX budget constraints.
Resource partitioning across 5G service tiers. Optimize slice allocation for eMBB, URLLC, and mMTC workloads simultaneously.
Load balancing and congestion avoidance across mesh networks. Real-time path optimization with QoS constraints and failure resilience.
Fiber and microwave route planning. Minimize deployment cost while meeting capacity and latency requirements across the transport network.
Latency-optimized MEC server positioning. Balance compute demand, network topology, and cost for optimal edge infrastructure deployment.
| Problem | DSC-3 (RTX 5070 Ti) | Genetic Algorithm | Greedy Heuristic |
|---|---|---|---|
| 500-cell spectrum allocation | 6ms | 3.8s | 0.2s (suboptimal) |
| 3,000-cell spectrum allocation | 38ms | 4.2min | 2.1s (suboptimal) |
| 10,000-cell network optimization | 420ms | timeout | infeasible |
Submit cell locations, interference matrices, and coverage requirements via REST API. Standard telecom data formats supported.
DSC-3 maps network topology to graph coloring and partitioning problems. Seven solvers compete on GPU to find optimal assignments.
Receive spectrum assignments, placement recommendations, or traffic routes with interference scores and cryptographic verification.