Wireless systems analysis, simulation, and optimization
Optimcode combines wireless engineering, scientific computing, geospatial data, and software development to solve multidisciplinary modeling and simulation problems.
Engineering models, simulation frameworks, source code, validated results, configuration tools, geospatial pipelines, technical reports, and presentations.
Wireless systems and spectrum studies
From requirements and deployment models through interference analysis, performance metrics, and defensible engineering results.
Network Modeling
5G/NR and other wireless networks, deployments, sectors, antennas, traffic, scheduling, coverage, capacity, and link budgets.
Spectrum Coexistence
Co-channel and adjacent-channel interference, aggregate interference, OOBE/ACIR, activity models, protection criteria, and SINR/I/N analysis.
Propagation Analysis
3GPP channel and path-loss models, clutter and penetration loss, site-specific propagation, ray tracing, and sensitivity studies.
Monte Carlo Studies
Randomized deployments, parameter distributions, uncertainty analysis, large trial sets, statistical KPIs, and scenario comparison.
Antennas & RF Models
Antenna patterns, beamforming abstractions, EIRP, receiver characteristics, spectral masks, frequency-dependent models, and link budgets.
Technical Advisory
Architecture reviews, feasibility studies, model validation, technical due diligence, independent analysis, and R&D support.
MATLAB, Python, and C/C++ frameworks
We build and extend reusable engineering software for communications simulation, numerical analysis, optimization, validation, and high-performance workloads.
System-Level Simulation
Multi-cell deployments, user association, scheduling, traffic, interference, mobility, Monte Carlo execution, and network KPIs.
Link-Level Simulation
Waveforms, channel models, coding, receiver algorithms, BLER/BER, SINR, throughput, and algorithm comparison.
High-Performance Simulation
Vectorization, parallel execution, GPU acceleration, profiling, memory reduction, caching, and runtime optimization.
Optimization Algorithms
Parameter optimization, constrained numerical methods, large-scale optimization, algorithm benchmarking, and performance tuning.
MATLAB Consulting
Rapid engineering development with strong communications, numerical, visualization, and parallel-computing workflows.
- Link-, system-, and network-level frameworks
- Monte Carlo and parameter-sweep engines
- High-performance simulation and parallel computing
- Numerical optimization and algorithm prototyping
- Configuration, validation, testing, and reporting tools
Python Consulting
Scientific computing, data processing, automation, geospatial workflows, ML integration, APIs, and GPU-enabled simulation.
- NumPy, SciPy, pandas, and GeoPandas workflows
- Reusable simulation and analysis packages
- Flask APIs and engineering services
- Data pipelines, visualization, and automation
- Integration with Sionna and external tools
C/C++ Components
Compiled components for performance-critical models, reusable libraries, and integration with MATLAB or Python.
- Numerical kernels and simulation engines
- Performance-sensitive algorithms
- MATLAB MEX and Python extensions
- Profiling, validation, and regression testing
- Legacy modernization and integration
Ray tracing, system simulation, and wireless digital twins
Sionna RT and Sionna SYS can be integrated into Python workflows for site-specific propagation, 3GPP-based simulation, and GPU-accelerated experimentation.
Site-Specific Propagation
Build 3D scenes and evaluate paths, coverage, multipath, blockage, diffraction, and geometry-dependent effects.
System Integration
Combine ray-traced or standardized channel information with network simulation, coexistence studies, and custom engineering models.
Digital-Twin Pipelines
Translate terrain, buildings, site data, and material information into simulation-ready scenes and repeatable workflows.
Model Validation
Compare implementation behavior against standards-based or analytical baselines and document model limits and sensitivities.
Geospatial data pipelines for wireless simulation
Engineering models are only as useful as their inputs. We prepare and validate real-world geodata for network and site-specific studies.
Buildings
OpenStreetMap, Overture Maps, building footprints, heights, rooftop geometry, and 3D mesh preparation.
Terrain & LiDAR
Digital elevation data, point clouds, terrain surfaces, cropping, merging, reprojection, and quality checks.
Network Geodata
Site coordinates, sectors, orientation, heights, downtilt, service areas, user locations, and deployment geometry.
GIS Processing
Coordinate systems, spatial joins, clipping, deduplication, visualization, data conversion, and simulation-ready exports.
Data-assisted models integrated with engineering simulation
Machine learning is applied where it improves speed, calibration, pattern discovery, or decision support without losing engineering traceability.
Surrogate Models
Approximate expensive simulations with trained models for faster sweeps, optimization, and sensitivity analysis.
Model Calibration
Use simulation and measurement data to tune parameters, identify relationships, and improve model fidelity.
Classification & Detection
Feature engineering and ML workflows for identifying operating regimes, anomalies, interference patterns, or signal conditions.
ML-Assisted Optimization
Combine learned models with search and optimization workflows to reduce computational cost and explore large design spaces.
APIs, automation, AWS pipelines, and cloud-native workflows
Turn engineering code into repeatable services and scalable pipelines when desktop execution is no longer enough.
Flask APIs
Expose simulation engines, models, configuration validation, and analysis functions through clean programmatic interfaces.
AWS Pipelines
Batch execution, object storage, automated processing, scalable compute, and reproducible analysis workflows.
Cloud-Native Design
Containerized components, modular services, job orchestration, logging, configuration management, and deployment-ready architecture.
Results & Reporting
Automated KPI extraction, plots, maps, artifacts, result packaging, and technical reporting for large simulation campaigns.
From technical question to usable engineering result
Independent engineering support for complex wireless problems
Optimcode provides independent engineering support for complex wireless problems across government and commercial projects. We deliver models ready for review, maintainable software, reproducible results, and clear technical communication.