Adaptive Polling Frequency for Cellular Channel Capacity Allocation
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Solution Overview
Problem
In cellular communication systems with multiple users and bursty traffic, existing polling techniques incur excessive overhead due to the need to periodically poll large user populations for service requests, which is inefficient in dynamically allocating channel capacity.
Innovation Solution
A method to dynamically assign channel capacity based on predicted traffic requirements by determining characteristic traffic parameters such as data throughput, delay, and variance, and using traffic parameter profiles to estimate polling frequency, thereby optimizing resource allocation and reducing polling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic polling is used to determine service requests from multiple users, then service requests can be determined, but excessive overhead is generated when user population is large and traffic is bursty
Solution Approach 1:
The patent applies dynamics by making the polling frequency adaptive rather than fixed. The access controller dynamically adjusts polling intervals based on observed traffic characteristics of each user, polling frequently when traffic is active and less frequently when traffic is idle, thereby reducing overall polling overhead while maintaining reliable service request determination
Solution Approach 2:
The patent changes the parameter of polling frequency from a constant system-wide value to a variable parameter that is individually adjusted for each user based on their traffic patterns. This parameter change allows the system to optimize between reliable service request detection and minimized polling overhead
2Productivity
If polling frequency is increased to capture bursty traffic requirements, then service requirements are met, but overhead increases
Solution Approach 1:
The system dynamically adapts polling frequency to match actual traffic conditions, increasing frequency during bursty periods to capture service requirements and decreasing frequency during idle periods to reduce overhead, thereby optimizing productivity without proportional increase in energy loss
Solution Approach 2:
The system enables self-service by having users implicitly indicate their service needs through their traffic patterns themselves. The access controller observes user traffic characteristics and automatically adjusts polling frequency without requiring explicit user requests, allowing the system to respond to productivity needs while minimizing overhead
Data Source
AI summary
A method for assigning of channel capacity to communication links in a cellular communication system and to an access controller for controlling the access of contending terminals to channel capacity of a cellular communication system is provided. One or more traffic parameters is determined for each of the communication links, and a requirement for channel capacity for each of the communication links is predicted based on the one or more traffic parameter. A channel capacity is then assigned to the communication link based on the predicted requirement.