Dynamic Spectrum Allocation for Wireless Capacity
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing limited spectrum resources, particularly in dynamically adapting to varying user demand and interference issues.
Innovation Solution
The technology introduces a dynamic spectrum allocation system that allows for on-demand allocation and reallocation of spectrum resources, such as those in the Citizens Broadband Radio Service (CBRS), based on real-time demand and usage patterns, using advanced analytics and machine learning to optimize spectrum usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exclusive licensed spectrum is obtained through manual processes, then spectrum access is secured, but the process takes much time and is not automated
Solution Approach 1:
The patent implements dynamic spectrum allocation where spectrum resources are automatically assigned and reallocated based on real-time demand patterns. The system transitions from static manual allocation to dynamic automated allocation, allowing spectrum to be provisioned and re-provisioned automatically according to actual usage requirements, thereby reducing allocation time while maintaining reliable access.
Solution Approach 2:
The system enables self-service spectrum allocation where the network automatically detects demand patterns, selects appropriate spectrum resources, and performs allocation without requiring manual intervention. The automated spectrum allocation system monitors usage patterns and independently manages spectrum provisioning, eliminating time-consuming manual processes while ensuring reliable spectrum access.
2Adaptability or versatility
If spectrum is allocated statically, then allocation simplicity is maintained, but the system cannot dynamically adapt to varying user demand
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors spectrum usage patterns, user demand, and network conditions. This feedback information is used to dynamically adjust spectrum allocation decisions, allowing the system to adapt to varying demand while using automated algorithms to manage complexity and maintain operational simplicity.
Solution Approach 2:
The system performs preliminary analysis of demand patterns and spectrum availability before actual allocation occurs. By predicting future spectrum needs based on historical data and proactively preparing allocation decisions, the system reduces real-time complexity and enables dynamic adaptation without requiring complex on-demand decision-making processes.
3Productivity
If more spectrum is allocated to meet high demand, then user experience is improved, but interference among users increases
Solution Approach 1:
The patent applies local quality optimization by allocating spectrum resources specifically to local areas and users where they are most needed, rather than uniformly distributing spectrum. The system identifies local demand patterns and allocates spectrum to specific geographic areas or user groups, thereby increasing wireless capacity in high-demand areas while minimizing interference in other regions through targeted, localized allocation.
Data Source
AI summary
The described technology is generally directed towards adaptive spectrum as a service, in which spectrum can be dynamically allocated to adapt to demand for wireless capacity. The demand for wireless capacity can be based on monitoring system state, and/or proactively predicted based on other system state such as time of day. Reallocated spectrum can be monitored for performance, to converge spectrum allocation to a more optimal state. Allocated spectrum can be relocated, increased or decreased, including by the use of citizens band radio service spectrum or other spectrum. Currently allocated spectrum can be adapted into modified allocated spectrum by an application program (xApp) coupled to a radio access network intelligent controller (RIC), a citizens broadband radio service device, a domain proxy service, and/or a user device. A user device can determine and request bandwidth, with spectrum allocated in response.