The first complete, truly microwave network design know‑how with global multi‑objective optimization at the network level.
Evolutionary design for microwave networks — from Chaos to Gaia.
Traditionally, in microwave network design, computational tools have focused primarily on individual links rather than on the network as a whole. Consequently, key decisions regarding network formation have relied heavily on the designer’s expertise and practical experience. As a paradigm shift in design philosophy, we have reformulated the design task as a multi-objective optimization problem, thereby elevating computational assistance from the link level to the network level. This approach enables us to treat the network as an integrated system rather than merely as a collection of independent connections.
At the core of this methodology lies an evolutionary algorithm inspired by the principles of natural evolution. Starting from an initial population of candidate solutions, the algorithm iteratively evolves network configurations through successive generations, selecting and refining them according to predefined objectives.
Comprehensive capabilities for microwave network design and optimization.
Every aspect of the design process — from topology selection to lifecycle cost optimization — is addressed within a unified optimization framework, representing a fundamentally different approach from conventional network planning. While the resulting design can be readily verified using standard tools, the true challenge is identifying the optimal combination of network elements under multiple constraints.
Cost evaluation is seamlessly integrated into the network design process itself. Unlike traditional approaches — where costs are assessed post‑design — our methodology embeds both OPEX and CAPEX, along with ROI, directly into the optimization framework.
The optimization framework integrates elements of classical microwave network design, graph theory, and numerical optimization techniques, enriched by a set of very advanced computational concepts.
Let's talk about your network challenge.
Whether you're planning a new network, optimizing an existing one, conducting a feasibility study, or evaluating procurement decisions, we’re here to provide the expertise and answers you need.
GAIA supports global WGS84-based raster and vector online databases. We are also capable of directly generating geographic databases for any location through AI-based monocular height estimation, enabling global coverage and adaptation to projects anywhere on the globe.