GAIA — AI-Based Microwave Network Optimization


The GAIA Project

Network design that evolves
toward the optimal

AI-driven multi-objective optimization for microwave transmission networks. From topology to channel assignment — every decision quantified, every trade-off visible.

1,000+
Links supported

ITU-R
P.530-19 / P.452-18

Pareto
Multi-objective frontier

Global
WGS84 geodatabase

γαῖα
“After Chaos… Gaia came.” — Hesiod’s Theogony

Greek χάος: emptiness, vast void, abyss.
From χαίνω: to gape, to open.

GAIA’s methodology mirrors the mythological narrative: it begins from nothing, and through gradual refinement and accumulated knowledge, a complex and structured outcome takes shape.

This principle — emergence through iteration — is applied to real-world microwave engineering challenges formulated as complex, multi-objective optimization tasks.

The results foster what we call innovizative practice: innovation through optimization.

From link-level tools to network-level intelligence

Traditional microwave design tools work on individual links. GAIA treats the network as an integrated system — optimizing topology, cost, frequency allocation, and capacity simultaneously.

TRADITIONAL
GAIA

Link-by-link design
Full network synthesis
Post-design cost check
Cost embedded in optimization
Manual frequency planning
Global channel allocation
Single solution
Pareto-optimal set
Engineer-dependent quality
Objective, verifiable metrics

Evolutionary design in six stages

Starting from an empty topology, the algorithm iterates through populations of candidate networks — evaluating, ranking, and refining until no further improvement can be achieved.

01 — Input

Site data & existing network

Load geographical database, existing infrastructure, traffic requirements, equipment catalogs, and pricing policies.

02 — Seed

Generate initial population

All possible connections enumerated. A large set of random topologies assembled — the raw material for evolution.

03 — Build

Construct each candidate

For every topology: frequency band selection, upper/lower position assignment, channel allocation, and full link dimensioning.

04 — Evaluate

Score fitness indicators

Each network scored on cost, path length, redundancy, traffic compliance, and interference levels per ITU-R.

05 — Select

Pareto sorting & truncation

Non-dominated solutions retained. Dominated candidates discarded. Best-performing configurations carry forward.

06 — Deliver

Optimized Pareto front

Final generation presents the complete trade-off frontier. Engineer selects the solution matching their priorities.

What GAIA does differently

Every aspect of microwave network design — from topology to lifecycle cost — handled within a single unified optimization framework.

Multi-objective Pareto optimization

Simultaneously minimize cost, path length, interference, and constraint violations. No single-criterion shortcuts.

Embedded CAPEX / OPEX / ROI

Cost is a first-class optimization target — not a post-design check. Tower rentals, procurement, monthly fees, dismantling all included.

Arbitrary frequency band mixing

Freely combine any frequency bands down to individual channel level. Simulate 11 GHz, 18 GHz, E-band, and mixed scenarios.

Full topology freedom

Tree, ring (inner/outer), or mixed topologies. Handles 1+0, 2+0 CP/XP, 4+0 CP/XP, and dual-band configurations.

Future-proof planning

Model long-term demand projections over the full 10–12 year network lifecycle. Simulate capacity expansions before committing.

Verifiable, traceable results

Every outcome fully documented to the link level. Manually verifiable. No black-box outputs — complete audit trail.

Data-driven procurement

Equipment portfolio decisions based on completed designs — not preliminary estimates made before planning even begins.

Optical node analysis

Evaluate the inclusion or removal of any optical aggregation point. Quantify where fiber deployment is most justified.

Scalable to large networks

All algorithms designed for n > 1,000 connections. Arbitrary-sized outer networks handled without affecting runtime.

Every cost component, in scope from day one

Financial efficiency embedded in every design decision — from initial planning through full-scale implementation and operational lifecycle.

Construction and rental fees of towers and base stations

Equipment procurement for existing and newly deployed microwave links

Retuning, polarization switching, rerouting, and reinstallation costs

Dismantling and reutilization expenses

Antenna site rental fees by size and location

Monthly operational costs of microwave links

Structural reinforcement and mandatory tower maintenance

Frequency license fees per band and channel

Under the hood

Built on decades of microwave engineering knowledge, extended with graph theory and advanced numerical optimization.

Network topologies
Tree, inner/outer ring, mixed — any combination

Link configurations
1+0, 2+0 CP/XP, 4+0 CP/XP, dual-band

Link calculation standard
ITU-R P.530-19

Interference calculation
ITU-R P.452-18

Coordinate system
WGS84 — raster and vector databases supported globally

Network scale
Optimized for n > 1,000 connections; arbitrary outer networks

Frequency planning
Globally exact algorithm for polarization and frequency allocation; channels selectable individually

Cost framework
CAPEX, OPEX, ROI — any pricing policy supported

Platform
Fully in-house developed software — custom requirements can be incorporated on request

Lifecycle planning
Long-term demand projection; 10–12 year network lifecycle modeling

Let’s talk about your network

GAIA is available worldwide. Whether you’re planning a new network, optimizing an existing one, or evaluating procurement decisions — we’d like to understand your challenge.

Address

WS Consulting Kft.
Nándorfejérvári út 42–44.
1119 Budapest, Hungary

WORLDWIDE AVAILABILITY

GAIA supports WGS84-based geodatabases globally. The methodology and software platform can be applied to any geography — Europe, Asia-Pacific, the Americas, Africa, and the Middle East.

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