Dynamic Bandwidth Allocation for Radio Network Nodes
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Solution Overview
Problem
Existing radio communications systems face inefficiencies in spectrum allocation due to static re-farming methods, which do not adapt to varying traffic situations, leading to reduced data rate potential for new RATs like LTE when legacy RATs like GSM/HSPA dominate bandwidth allocation.
Innovation Solution
A radio network node dynamically allocates bandwidth and adjusts RAT usage based on current traffic and load conditions, utilizing carrier aggregation and power management to optimize resource utilization across multiple RATs, ensuring efficient use of spectrum regardless of time-of-day variations in traffic loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static re-farming methods are used to allocate bandwidth between legacy RATs and new RATs, then legacy RATs like GSM/HSPA maintain stable bandwidth allocation, but new RATs like LTE cannot utilize their full data rate potential when legacy RATs dominate bandwidth allocation
Solution Approach 1:
The patent implements dynamic bandwidth allocation where the base station continuously monitors traffic load on both legacy RATs and new RATs, and adjusts the bandwidth allocation in real-time based on current conditions. This allows the system to transition from static to dynamic allocation, enabling new RATs to obtain more bandwidth when legacy traffic is low while maintaining stability when legacy traffic is high.
Solution Approach 2:
The system changes the bandwidth allocation parameter dynamically based on traffic conditions. When legacy RAT traffic load falls below a threshold, the base station increases the bandwidth allocated to new RATs, and when legacy traffic increases, it reduces new RAT bandwidth allocation. This parameter adjustment resolves the contradiction between maintaining legacy service stability and enabling new RAT performance.
2Reliability
If bandwidth is allocated to legacy RATs to maintain service stability, then legacy service reliability is improved, but system capacity and spectrum efficiency are reduced
Solution Approach 1:
The patent employs dynamic bandwidth allocation that adjusts the proportion of spectrum allocated to legacy versus new RATs based on real-time traffic conditions. This dynamic approach allows the system to maximize overall capacity while maintaining legacy service stability through adaptive rather than rigid allocation.
Solution Approach 2:
The base station continuously monitors traffic load on legacy RATs and uses this feedback to adjust bandwidth allocation. When legacy traffic decreases, the system reallocates that spectrum to new RATs to increase overall system capacity, while ensuring legacy services receive adequate bandwidth when needed.
3Productivity
If dynamic bandwidth allocation is implemented to optimize new RAT performance, then data rate utilization for new RATs is improved, but complexity of bandwidth management increases
Solution Approach 1:
The base station autonomously performs bandwidth allocation decisions by monitoring its own traffic conditions and automatically adjusting resource distribution without requiring complex external control mechanisms. This self-service approach simplifies the overall system architecture while achieving dynamic optimization.
Solution Approach 2:
The system manages complexity by focusing on changing a single key parameter - the bandwidth allocation ratio - based on traffic thresholds. This simple parameter adjustment mechanism avoids the need for complex multi-parameter optimization algorithms while still achieving dynamic performance optimization.
4Device complexity
If re-farming of radio spectrum is performed statically, then spectrum allocation is simplified, but adaptability to varying traffic situations is reduced
Solution Approach 1:
The patent transforms static re-farming into a dynamic process where bandwidth allocation between legacy and new RATs automatically adapts to varying traffic conditions. The system maintains relative simplicity by using threshold-based decision logic while achieving high adaptability through continuous monitoring and adjustment.
Solution Approach 2:
The system achieves adaptability by dynamically changing the bandwidth allocation parameter based on traffic load thresholds. This single parameter adjustment provides flexible adaptation to different traffic situations without requiring complex spectrum management mechanisms.
Data Source
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AI summary
A radio network node and a method therein, for controlling usage of RAT and bandwidth in a radio communication system. The method comprises allocating (201) a first RAT to a first bandwidth; allocating (202) a second RAT to a second bandwidth; and allocating (203) the first and second RATs to a third bandwidth comprising a part of the first bandwidth and/or a part of the second bandwidth. When the first RAT has a higher load than the second RAT, the method comprises transmitting (206) data for the first RAT in both the first third bandwidths; transmitting (208) data for the second RAT only in the second bandwidth; and transmitting (209) common control signals and/or pilot signals for the first RAT in the first and third bandwidths.