Base Station Central Unit Selection Based on Computational Capacity
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Solution Overview
Problem
Current communication systems face challenges in efficiently managing the computational capacity of base station central and distributed units, which affects the selection, reselection, and handover processes of user equipment, leading to suboptimal session flow setups and resource allocation.
Innovation Solution
The system determines the appropriate base station central unit to use based on its computational capacity, either by the user equipment, base station central unit, or distributed unit, using core network functions to select, reselect, or hand over user equipment, and sets up session flows accordingly, considering thresholds for unicast or multicast/broadcast sessions without uplink feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system selects base station central units based on computational capacity, then session setup efficiency and resource allocation are improved, but the complexity of base station selection and handover processes increases
Solution Approach 1:
The system performs preliminary actions by having base station distributed units report their coupled central unit's computational capacity in advance through system information blocks or other signaling mechanisms. This allows user equipment to make informed selection and handover decisions without real-time complexity, as the computational capacity information is pre-available in the network.
Solution Approach 2:
The patent introduces an intermediary mechanism where computational capacity information is transmitted through system information blocks or dedicated signaling between base station distributed units and user equipment. This intermediary information channel simplifies the selection process by providing structured, pre-processed data that user equipment can use for decision-making without direct complex interactions.
2Reliability
If computational capacity information is continuously monitored and updated, then the optimality of session flow management is improved, but the signaling overhead and system complexity increase
Solution Approach 1:
The system implements periodic action by having base station distributed units report computational capacity information at specific intervals or triggered by significant changes in capacity status. This periodic reporting mechanism ensures that the network maintains up-to-date information for optimal session management while avoiding excessive continuous signaling that would increase overhead.
Solution Approach 2:
Computational capacity information is reported in advance through system information blocks before it is actually needed for session setup decisions. This preliminary provision of information allows the network to maintain current state knowledge without requiring real-time signaling exchanges during critical session establishment procedures.
Data Source
AI summary
An apparatus comprises: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: use a first base station central unit coupled to a first base station distributed unit in dependence on a computational capacity of the first base station central unit.


