Intermediary Node Latency Estimation via Cumulative Density Functions

The patent changes the parameter of latency allocation from fixed equal distribution to variable distribution based on cumulative density functions. By calculating CDFs of packet arrival times at each node and determining threshold values that satisfy the overall latency requirement, the system dynamically adjusts allowable latency at each node rather than enforcing a rigid predefined maximum, thereby increasing total transmission capacity while meeting QoS requirements

The patent introduces dynamic latency allocation where each node adapts its maximum allowable latency based on observed packet arrival patterns and CDF calculations. The scheduler at each node dynamically determines the maximum latency for the next packet based on the CDF threshold, allowing the system to flexibly utilize available time slots and increase overall transmission capacity compared to static latency enforcement

The patent changes the scheduling approach from dedicated capacity allocation to adaptive capacity allocation based on CDF-calculated latency thresholds. The scheduler determines the maximum latency for each packet dynamically based on the CDF of arrival times and the overall latency budget, allowing flexible scheduling of VoIP packets alongside other traffic flows while guaranteeing the required latency performance

The patent introduces CDF-based threshold values as an intermediary mechanism between the latency requirement and the scheduling decision. Rather than directly dedicating capacity or enforcing fixed latency, the CDF threshold acts as a mediator that translates the overall latency budget into node-specific maximum latency values, enabling flexible scheduling while maintaining QoS guarantees