Optimizing the 4G--5G Migration: A Simulation-Driven Roadmap for Emerging Markets
Desire Guel, Justin Pegd-Wind\'e Kouraogo, Kouka Kouakou Nakoulma

TL;DR
This paper uses MATLAB simulations to evaluate key 4G-5G migration strategies in emerging markets, providing a practical roadmap for deploying efficient and cost-effective 5G networks considering various technical and infrastructural constraints.
Contribution
It offers a comprehensive simulation-based analysis of radio and architectural levers affecting 5G deployment, and synthesizes these insights into a strategic roadmap for emerging markets.
Findings
Beamforming improves cell-edge SNR by 3-6 dB.
Carrier aggregation increases peak throughput from 200 Mb/s to 1 Gb/s.
Targeted spectrum refarming boosts median throughput by up to 90%.
Abstract
Deploying fifth-generation (5G) networks in emerging markets demands a balance between performance targets and constraints in budget, spectrum, and infrastructure. We use MATLAB simulations to quantify how radio and architectural levers - MIMO (beamforming, diversity, spatial multiplexing), carrier aggregation (CA), targeted spectrum refarming to New Radio (NR), mmWave propagation with blockage/rain, and Non-Standalone (NSA) versus Standalone (SA) cores - affect capacity, coverage, latency, and interference robustness, with D2D and M2M as complements to wide-area access. Beamforming improves cell-edge SNR by about 3-6 dB, while spatial multiplexing dominates at moderate/high SNR via multi-stream gains. Throughput scales strongly with CA: increasing from 1 to 5x20-MHz carriers raises peak rate from about 200 Mb/s to about 1 Gb/s at 30 dB SNR; water-filling adds 5-12% over equal power at…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Advanced Wireless Communication Technologies
