Telecommunications Network Reconfiguration for Predictive Telehaptics
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Solution Overview
Problem
Existing telecommunications networks face inefficiencies in resource allocation due to the asynchronous nature of telehaptic events, requiring very low latencies that are not consistently met, leading to inefficient use of network resources.
Innovation Solution
A method to reconfigure the network by predicting the likelihood of telehaptic communication and optimizing network performance for User Equipment (UE) through techniques such as reallocating network slices, changing communication paths, and adjusting resource locations to achieve low latencies of 10 ms or less.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network resources are allocated to ensure very low latency for telehaptic communication, then network performance for telehaptics is improved, but network resource efficiency deteriorates because telehaptic events form only a small portion of overall network sessions
Solution Approach 1:
The network performs preliminary actions by proactively reconfiguring resources in advance of anticipated telehaptic events. The system predicts future telehaptic communication needs based on current network communications and pre-allocates resources accordingly, so that when telehaptic events occur, the network is already optimized and ready to deliver low latency performance without permanently maintaining high resource allocation.
Solution Approach 2:
The network dynamically adjusts resource allocation based on real-time predictions of telehaptic communication needs. Rather than maintaining static high-resource allocation, the system continuously monitors network communications, predicts telehaptic events, and reconfigures resources adaptively - allocating more resources when telehaptic communication is anticipated and fewer resources during normal operations, thus resolving the contradiction between performance and efficiency.
2Reliability
If network resources are continuously allocated for low latency, then telehaptic communication reliability is improved, but resource waste increases during non-telehaptic periods
Solution Approach 1:
The network implements periodic reevaluation of telehaptic communication likelihood through continuous processing of network communications. Resources are allocated in periodic cycles - the system regularly assesses whether telehaptic communication is anticipated and adjusts resource allocation accordingly, maintaining high reliability when needed while optimizing overall utilization during non-telehaptic periods.
3Reliability
If the network is reconfigured specifically for a single UE, then network performance for that UE is maximized, but complexity of network management increases
Solution Approach 1:
The network applies preliminary action by using automated prediction algorithms to identify which UEs will need telehaptic communication before reconfiguration is needed. This pre-identification simplifies the subsequent reconfiguration process by focusing resources only on predicted telehaptic UEs, rather than requiring complex manual analysis and management of all UEs in the network.
Data Source
AI summary
A method (200) of reconfiguring a telecommunications network (100), the telecommunications network being configured to facilitate telehaptic communication with a User Equipment (UE) (110), the method comprising the steps of: processing a network communication so as to determine a likelihood of future telehaptic communication with the UE (230); determining that said likelihood of future telehaptic communication exceeds a threshold value (240); and in response to said determining, reconfiguring the telecommunications network so as to improve network performance for the UE (250).