Network Resource Management via Early Decoding and Release
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Solution Overview
Problem
Existing cellular network technologies fail to optimize resource allocation, leading to degraded spectral efficiency and throughput due to unnecessary repetition in data transmission, as base stations only decode data after completing all repetitions, thereby wasting resources.
Innovation Solution
A method and system that determine a predefined number of repetitions for data packets and estimate the minimum number required for successful decoding based on network status parameters, allowing for early resource release and optimal resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data packets are transmitted with a predefined number of repetitions to ensure reliable decoding, then decoding reliability is improved, but resource utilization deteriorates due to allocation of resources for all repetitions even when decoding succeeds earlier
Solution Approach 1:
The patent applies dynamics by making the repetition count adaptive rather than fixed. The base station dynamically determines the actual number of repetitions needed based on real-time decoding success, deviating from the predefined repetition count. This allows the system to adjust resource usage according to actual channel conditions and packet complexity, resolving the contradiction between ensuring reliable decoding and avoiding wasteful resource allocation.
Solution Approach 2:
The patent implements feedback mechanisms where the base station monitors decoding success after each repetition and uses this information to determine whether to continue receiving repetitions or stop early. This feedback loop enables the system to adapt resource allocation based on actual decoding performance, ensuring reliability only when necessary while improving overall resource utilization.
2Measurement precision
If the base station waits for all predefined repetitions to complete before decoding, then decoding accuracy is improved, but spectral efficiency deteriorates due to idle resources during waiting periods
Solution Approach 1:
The patent applies preliminary action by performing decoding attempts before all predefined repetitions are completed. The base station proactively checks whether decoding has succeeded after receiving fewer than the full predefined number of repetitions, allowing early termination of the reception process. This prevents the waste of spectral resources that would otherwise remain idle during the waiting period for all repetitions to complete.
Solution Approach 2:
The system dynamically adjusts the actual number of repetitions received based on decoding success, rather than rigidly following the predefined repetition count. This dynamic adaptation allows the base station to stop receiving repetitions early when decoding succeeds, thereby improving spectral efficiency while maintaining decoding accuracy when needed.
3Reliability
If resources are allocated for the maximum predefined number of repetitions, then system robustness is improved, but resource waste increases when fewer repetitions are sufficient for successful decoding
Solution Approach 1:
The patent resolves this contradiction by making the resource allocation dynamic. Instead of always allocating resources for the maximum predefined number of repetitions, the system allocates resources adaptively based on the actual number of repetitions needed for successful decoding. This maintains system robustness by having the capability to receive up to the maximum repetitions when necessary, while avoiding resource waste when fewer repetitions suffice.
Solution Approach 2:
The system changes the parameter of repetition count from a fixed predefined value to a dynamic value determined by actual decoding needs. This parameter change allows the system to maintain robustness by preserving the maximum repetition capability while reducing actual resource consumption to match the true requirements of each transmission scenario.
Data Source
AI summary
Disclosed herein is a method and a network for managing resources in a network. The method comprises determining a predefined number of repetitions of data packets for receiving the data packets from a user equipment (UE) associated with a network node. Further, a minimum number of repetitions, out of the predefined number of repetitions, required for successfully decoding the data packets received from the UE is estimated based on one or more network status parameters. Thereafter, the data packets are decoded within the minimum number of repetitions and one or more resources allocated for remaining number of repetitions are released, thereby optimally managing the resource utilization in the network.