Adaptive Power Spectral Density for 5G Coverage Optimization
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Solution Overview
Problem
5G millimeter wave networks face challenges in coverage and capacity due to high transmission losses, making it difficult to deploy and maintain networks that cover large areas effectively, as traditional coverage enhancement techniques like increasing transmitter power or deploying dense cell sites are impractical due to economic and spatial limitations.
Innovation Solution
An automated and dynamic system that adjusts power spectral density and carrier allocation using intelligent algorithms to balance bandwidth, coverage, and interference, allowing for adaptive power spectral density optimization in 5G networks, which can be applied to various technologies including LTE and WiFi.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If transmitter power is increased to enhance coverage, then coverage area is improved, but economic cost and power consumption increase making it impractical
Solution Approach 1:
The patent dynamically adjusts power spectral density parameters based on network utilization levels. When utilization is low, PSD is reduced to save energy while maintaining adequate coverage. When utilization increases, PSD is increased to meet demand. This resolves the contradiction by making power consumption adaptive rather than static, improving efficiency without sacrificing coverage when needed.
Solution Approach 2:
The system implements dynamic carrier allocation and PSD adjustment that adapts to changing network conditions in real-time. Carriers can be activated or deactivated based on utilization thresholds, and PSD levels are continuously optimized. This dynamic approach allows the network to maintain coverage area while minimizing power consumption during low-demand periods.
2Area of stationary object
If dense cell sites are deployed to improve coverage, then coverage area is improved, but spatial limitations and deployment complexity increase
Solution Approach 1:
Instead of physically deploying more cell sites, the patent changes operational parameters by activating or deactivating existing carriers and adjusting PSD levels. This virtual optimization approach achieves coverage enhancement without the spatial and logistical complexity of physical infrastructure deployment.
Solution Approach 2:
The patent replaces the mechanical approach of physically deploying additional cell sites with an electronic/software-based solution that dynamically allocates carriers and adjusts PSD. This substitution eliminates the need for additional physical infrastructure while achieving the same coverage improvement goal.
3Productivity
If power spectral density is increased to improve capacity, then throughput is improved, but interference to other networks increases
Solution Approach 1:
The patent implements a feedback mechanism that monitors network utilization levels and adjusts PSD accordingly. When utilization is low, PSD is reduced to minimize interference to neighboring networks and other services. When utilization increases, PSD is increased to maintain throughput. This feedback-based adaptation resolves the contradiction by making interference levels responsive to actual network demand.
Solution Approach 2:
The system dynamically changes PSD parameters based on utilization thresholds and network conditions. By adjusting this key parameter, the system can optimize throughput while controlling interference, as higher PSD is only applied when network demand justifies the increased interference potential.
4Productivity
If carriers are allocated dynamically to improve utilization, then network efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic carrier allocation that activates or deactivates carriers based on utilization thresholds. This dynamic approach improves network efficiency by ensuring carriers are actively used when demand exists. The complexity is managed through automated threshold-based control logic rather than complex manual configuration.
Solution Approach 2:
The system performs self-service by automatically monitoring utilization levels and making carrier allocation decisions without external intervention. The automated nature of this process improves efficiency while containing complexity within the system's own control mechanisms, eliminating the need for complex external management.
Data Source
AI summary
Facilitating adaptive power spectral density with chromatic spectrum optimization in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a method can comprise evaluating, by a system comprising a processor, a capture rate of mobile devices within a radio access network. The capture rate is representative of a quantity of mobile devices using a millimeter wave spectrum of the radio access network. The method also can comprise facilitating, by the system, an adjustment to a power spectral density of the radio access network based on a determination that the capture rate fails to satisfy a target capture rate of mobile devices using the millimeter wave spectrum.