Macro Cell Matrix for Small Base Station Power Management
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Solution Overview
Problem
Current wireless communication systems face challenges in minimizing power consumption and network throughput deterioration in ultra-dense networks (UDNs) due to the inefficient on/off management of small access points (APs) in macro cells.
Innovation Solution
A wireless communication system that includes a macro cell and multiple access points (APs) and user equipment (UEs), where the macro cell generates and broadcasts a matrix determining which APs to activate based on connection information and throughput data from UEs, allowing APs to periodically send beacon messages and turn off if not needed, and UEs report their connectivity and speed to assist in handover decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If small APs are dynamically powered off to reduce energy consumption, then power consumption is reduced, but network throughput may deteriorate
Solution Approach 1:
The system performs preliminary actions by having APs transmit beacon messages before actual user connections are established. This allows the macro base station to advance determination of which APs need to be activated, enabling proactive power management that prevents throughput deterioration while reducing energy consumption.
Solution Approach 2:
The system implements feedback mechanisms where UEs report connectivity information and transportable speed data back to the macro base station. This feedback loop enables the macro base station to accurately determine which APs should be activated based on real network conditions, balancing power consumption and throughput performance.
2Device complexity
If AP activation is managed without user assistance information, then system complexity is reduced, but throughput optimization is lost
Solution Approach 1:
The system enables self-service by having UEs automatically report their connectivity information and transportable speed data to the macro base station. This self-reporting mechanism provides the necessary information for optimized AP activation without requiring complex manual control or additional signaling protocols.
Solution Approach 2:
The system utilizes parameter changes by dynamically adjusting AP activation status based on changing network conditions such as user mobility and connectivity patterns. The macro base station changes operational parameters of APs (on/off state) according to real-time feedback about user requirements and network throughput conditions.
3Reliability
If APs transmit beacon messages continuously, then user connectivity is maintained, but energy consumption increases
Solution Approach 1:
The system implements periodic action by having APs transmit beacon messages at predetermined time intervals rather than continuously. This periodic transmission maintains user connectivity information while significantly reducing energy consumption compared to continuous beacon transmission.
Solution Approach 2:
The system applies dynamics by adjusting beacon transmission behavior based on network conditions. The macro base station dynamically determines which APs should transmit beacons and at what intervals, optimizing the balance between maintaining connectivity and reducing energy consumption based on real-time user distribution and mobility patterns.
Data Source
AI summary
The present invention includes a plurality of access points (APs); a plurality of user equipments (UEs); and a macro cell, wherein the macro cell is configured to receive feedback including a first matrix comprising connection information between identifiers of the plurality of APs and the plurality of UEs, generate a second matrix including information on a specific AP to be activated, the specific AP being determined on the basis of the first matrix, and broadcast the generated second matrix.