Abstract
The 5G radio networks have introduced major changes in terms of service requirements and bandwidth allocation compared to cellular networks to date and hence, they have made the fundamental radio planning problem even more complex. In this work, the focus is on providing a generic analysis for this problem with the help of a proper multi-objective optimization algorithm that considers the main constraints of coverage, capacity and cost for high-capacity scenarios that range from dense to ultra-dense mmWave 5G standalone small-cell network deployments. The results produced based on the above analysis demonstrate that the denser the small-cell deployment, the higher the area throughput, and that a sectored microcell configuration can double the throughput for ultra-dense networks compared to dense networks. Furthermore, dense 5G networks can actually have cell radii below 400 m and down to 120 m for the ultra-dense sectored network that also reached spectral efficiency 9.5 bps/Hz/Km2 with no MIMO or beamforming.
Highlights
Radio planning is an essential task for wireless networks that mainly refers to calculating the number, location and configuration of the radio network nodes
The 5G networks introduce really different elements from the previous generations, mainly due to virtualization and service-based architecture. They are designed for considerably higher data rates, very large numbers of connected Internet of Things (IoT) devices and low latency while providing adaptive means for network scalability and flexibility
In order to tackle these issues, this article presents a generic analysis that allows for evolutionary radio network planning towards 5G mmWave standalone small-cell architectures
Summary
Radio planning is an essential task for wireless networks that mainly refers to calculating the number, location and configuration of the radio network nodes. For early cellular networks, radio network planning was split into two separate tasks: coverage and capacity. The 5G networks introduce really different elements from the previous generations, mainly due to virtualization and service-based architecture Among other things, they are designed for considerably higher data rates, very large numbers of connected Internet of Things (IoT) devices and low latency while providing adaptive means for network scalability and flexibility. In order to tackle these issues, this article presents a generic analysis that allows for evolutionary radio network planning towards 5G mmWave standalone small-cell architectures. The analysis is focused on network dimensioning for the mmWave band at 28 GHz. the propagation module is modified and a path loss model based on results of field trials at the 28 GHz band is applied.
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