Antenna Placement Simulation for 5G Network Optimization
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Solution Overview
Problem
Current manual approaches for designing next-generation wireless communication networks, particularly for 5G, are inefficient in evaluating numerous implementations of high-bandwidth antenna placements, leading to missed opportunities for optimal network coverage.
Innovation Solution
A system utilizing server systems with processor and memory components to identify candidate sites for antenna placement, perform iterative simulations, and rank potential placements based on criteria such as cost and coverage, enabling rapid evaluation of multiple network designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual approaches are used to design antenna placement networks, then implementation complexity is reduced, but productivity and evaluation speed deteriorate
Solution Approach 1:
The patent replaces manual mechanical design processes with automated computer-based simulation and optimization systems. The system uses software to automatically evaluate thousands of antenna placement configurations, replacing the need for manual design iterations while dramatically increasing evaluation speed and productivity.
Solution Approach 2:
The patent creates virtual copies of antenna placement scenarios through computer simulations. Instead of physically implementing and testing each antenna configuration, the system generates and evaluates numerous virtual models, allowing rapid assessment of different placement strategies without physical complexity.
2Reliability
If the number of transmitters per square mile is increased to one hundred or more, then network coverage quality improves, but the difficulty of detecting and measuring optimal placement increases
Solution Approach 1:
The patent introduces computer-based simulation software as an intermediary tool to evaluate antenna placement configurations. This intermediary system automatically analyzes the complex interactions between numerous transmitters and their coverage areas, making it feasible to assess optimal placement for one hundred or more transmitters per square mile without overwhelming manual analysis.
Solution Approach 2:
The patent performs preliminary computer-based evaluation and ranking of antenna placement configurations before actual deployment. By pre-simulating and ranking thousands of potential configurations, the system identifies optimal placements in advance, simplifying the subsequent implementation process despite the large number of transmitters involved.
3Manufacturing precision
If iterative simulations are performed to evaluate network designs, then manufacturing precision of network deployment improves, but loss of time increases
Solution Approach 1:
The patent employs iterative simulation cycles that systematically evaluate antenna placement configurations in periodic batches. Rather than performing exhaustive evaluations of every possible configuration, the system uses periodic iterations to progressively refine and rank the best configurations, achieving high deployment precision while limiting total evaluation time through structured repetition.
Data Source
AI summary
The technologies described herein are generally directed to facilitating operation of a system for implementing fifth generation (5G) or other next generation networks. In accordance with one or more embodiments, systems described herein can include a processor, and a memory that can store executable instructions that can facilitate receiving, from a second device, information corresponding to iterations of ones of a sited group of antennas generated by the second device by selecting the iterations of ones of the sited group of antennas, with a selected iteration of the selected iterations including a subgroup of the sited group of antennas that is designated for a simulation of an operation of the subgroup. Further, the operations include simulating respective operations of the selected iterations, including propagation mapping with respect to respective wireless signals associated with the selected iterations, and estimating respective utilizations of the respective wireless signals.