Idle Mode Traffic Load Balancing in Wireless Networks
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in traffic load balancing, particularly in idle mode, leading to potential network overload due to bursty data traffic, which is difficult to predict and manage effectively, especially in heterogeneous network layers.
Innovation Solution
A system that proactively detects and corrects traffic load imbalances between sector carriers by adjusting idle mode parameters, such as signal strength, to shift idle mobile devices from overloaded carriers to less loaded ones, thereby balancing traffic load before overload occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic load balancing processing is performed in conventional wireless systems, then network overload can be prevented, but computational resources are extensively expended and processing becomes time-consuming
Solution Approach 1:
The system performs preliminary action by proactively detecting traffic load imbalances between sector carriers and adjusting idle mode parameters before actual network overload occurs. This shifts idle mobile devices from overloaded carriers to less loaded ones in advance, preventing the harmful effect of network overload while avoiding extensive computational resources during actual overload conditions
Solution Approach 2:
The system enables self-service by allowing idle mobile devices to autonomously shift between sector carriers based on adjusted idle mode parameters. The network infrastructure automatically detects load imbalances and reconfigures parameters without requiring extensive computational processing during overload events, making the system self-regulating
2Stability of the object's composition
If traffic load balancing is performed reactively after overload occurs, then network stability can be maintained, but bursty data traffic is difficult to predict and manage effectively
Solution Approach 1:
The system applies preliminary action by proactively detecting traffic load imbalances and adjusting idle mode parameters before network overload occurs. This eliminates the time loss associated with reactive responses to bursty data traffic, as the system prevents overload conditions rather than responding to them after they occur
Solution Approach 2:
The system implements feedback by continuously monitoring traffic load conditions on sector carriers and using this information to adjust idle mode parameters. This closed-loop approach ensures network stability by maintaining balanced load distribution while enabling timely responses to changing traffic conditions without excessive response time
Data Source
AI summary
A potential traffic load imbalance condition associated with sector carriers is detected. The traffic loading for the sector carriers is balanced based, at least, on causing one or more idle mobile devices to select a new sector carrier by adjusting one or more idle mode parameters. Detecting the potential traffic load imbalance condition includes: identifying an overloaded sector carrier; identifying an set of overlaid sector carriers, wherein the set of overlaid sector carriers includes one or more sector carriers in an area surrounding the overloaded sector carrier; and determining a number of idle mobile devices and corresponding signal strengths of mobile devices camping on sector carriers of the set of overlaid sector carriers. Balancing the traffic loading includes: determining the number of mobile devices to shift from the overloaded sector carrier, and initiating the shift by adjusting idle mode parameters.