Communication Node Deactivation Based on Active Device Estimation
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Solution Overview
Problem
Communication networks face challenges in efficiently meeting high data rate demands and optimizing energy consumption, particularly in identifying and managing hotspots of user equipment activity, where deploying additional base stations can be costly and inefficient due to poor indoor positioning accuracy and varying user device activity patterns.
Innovation Solution
A method for deactivating nodes in communication networks by collecting reference signal information, mobility patterns, and D2D communication requests to estimate active user equipment devices, determining if the number of active devices falls below a threshold, and transferring communication to another node if necessary, thereby optimizing node activation and deactivation based on actual demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If macro base stations are deployed densely to meet high data rate demands, then data rate capacity is improved, but cost and installation delay increase significantly
Solution Approach 1:
The network is segmented into macro base stations for wide coverage and small base stations for high-capacity hotspots. This segmentation allows the system to meet high data rate demands in specific areas without deploying dense macro base station grids everywhere, thereby reducing overall deployment cost and time while maintaining productivity.
Solution Approach 2:
Different types of base stations are deployed based on local requirements: macro base stations in areas with moderate demand and small base stations in high-demand hotspots. This local quality approach ensures that resources are optimized for each specific area's needs, improving data rate capacity where required without incurring unnecessary deployment costs in low-demand areas.
2Ease of manufacture
If small base stations are deployed in hotspots to reduce cost, then deployment efficiency is improved, but energy consumption efficiency deteriorates when user activity is low
Solution Approach 1:
The base station deployment and activation is made dynamic rather than static. Small base stations are deployed efficiently in hotspots but can be deactivated or have their activation threshold adjusted based on real-time user activity monitoring. This dynamic approach allows the system to maintain deployment efficiency while adapting energy consumption to actual demand, preventing waste during low-activity periods.
Solution Approach 2:
The system implements feedback mechanisms to monitor user activity in real-time and adjust base station activation status accordingly. When user activity falls below a certain threshold, the system receives feedback and deactivates small base stations to improve energy consumption efficiency, while maintaining the deployed infrastructure for rapid reactivation when demand increases.
3Reliability
If base stations remain constantly active to ensure service availability, then service reliability is improved, but energy consumption increases unnecessarily during low activity periods
Solution Approach 1:
Instead of continuous operation, base stations operate periodically based on monitored user activity patterns. The system periodically assesses user activity levels and adjusts base station activation accordingly, maintaining service reliability during high-demand periods while reducing energy consumption during low-activity periods through controlled deactivation and reactivation cycles.
Data Source
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AI summary
A method for deactivating a first node in a communication network' includes determining, in a first tiirte period, a number (A) of active mobile UE devices in a first network cell; determining a number i'B) of static UE devices in the first network cell; and determining a number (C) of requests for direct D2D communication from UE devices in the first network cell. The method includes estimating a number of active UE devices in the first network cell for a second time period, based on one or more of A,.8, and C and determining whether the estimated number of active UE devices is less than a threshold. If so, the method includes transmitting a 'request to a second node to take over communication with one or more of the UE devices. If the request is accepted by the second node, the first node is deactivated.