Wireless Base Station Throughput Allocation Policy
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Solution Overview
Problem
Conventional mobile communication systems face challenges in maximizing throughput due to inefficient radio resource allocation policies, particularly in heterogeneous networks where small cells are densely arranged, leading to suboptimal connection of wireless terminals to base stations, which affects overall system performance.
Innovation Solution
A wireless base station and terminal system that dynamically selects the best serving base station based on calculated throughput and allocated bandwidth, using an allocation policy that considers the reception quality and frequency usage efficiency of each terminal, allowing for flexible radio resource allocation and optimizing system throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wireless terminal connects to the wireless base station with maximum received power, then the reception quality of the wireless terminal is improved, but the throughput of the wireless terminal cannot be maximized due to limited radio resources allocation
Solution Approach 1:
The patent changes the selection criterion from received power (RSRP) to a composite metric that includes both reception quality and expected throughput. The wireless terminal calculates a selection metric that combines RSRP with the ratio of expected throughput to number of connected terminals, thereby transforming the connection decision parameter to simultaneously consider both reception quality and throughput potential.
Solution Approach 2:
The patent applies prior cushioning by having the wireless base station预先 notify wireless terminals of the allocation policy and auxiliary information before the terminals make connection decisions. This allows terminals to calculate expected throughput and selection metrics in advance, ensuring they connect to base stations that will maximize their throughput while maintaining adequate reception quality.
2Productivity
If a centralized management method is used to select serving base stations through cooperation between wireless base stations, then the throughput optimization is improved, but the system complexity and communication load increase
Solution Approach 1:
The patent implements self-service by enabling wireless terminals to autonomously calculate their expected throughput and selection metrics based on allocation policy information provided by base stations. Each terminal independently determines its optimal connection without requiring centralized coordination or complex inter-base-station communication, thereby simplifying the system while achieving throughput optimization.
Solution Approach 2:
The patent uses feedback mechanisms where wireless base stations notify terminals of allocation policies and auxiliary information, and terminals feed back their selected base station decisions. This distributed feedback loop allows the system to achieve optimized throughput through terminal自主 selection without requiring complex centralized management or extensive base station cooperation.
Data Source
AI summary
A wireless base station transmits first information indicating an allocation policy that determines system performance and second information regarding an allocated bandwidth that is allocated to a wireless terminal in a case where the allocation policy is applied, receives, from each of a plurality of wireless terminals, third information regarding a serving base station candidate and throughput that is achieved in a case where the wireless terminal is connected to the serving base station candidate, and controls, on the basis of the third information, a connection to a wireless terminal having the greatest throughput.