Cooperative Sensing for Dynamic Power Adjustment in LTE-A Networks
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Solution Overview
Problem
In self-optimizing networks, particularly in LTE-A systems, managing interference between macro and small cells using traditional methods is inefficient due to dynamically changing traffic demands and fixed resource allocations, necessitating a dynamic approach for interference management and resource reconfiguration.
Innovation Solution
A cooperative sensing scheme is employed to optimize component carrier allocation and transmission power in LTE-A networks, utilizing multiple sensors to provide accurate SINR measurements and adjust transmit power dynamically, minimizing feedback overhead while ensuring quality of service for both macro and small cell users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed resource allocation is used for component carriers, then network planning becomes simpler, but network efficiency deteriorates due to idle nodes and heavy loading nodes coexisting
Solution Approach 1:
The patent implements dynamic resource allocation where component carriers are not fixed to specific nodes but can be dynamically assigned based on real-time traffic conditions. The system continuously monitors node load and traffic demands, allowing nodes to dynamically access and utilize available component carriers, thereby transforming the static resource allocation into a dynamic one that adapts to changing network conditions.
2Object-affected harmful factors
If manual configuration of network nodes to component carriers is performed, then interference management may be optimized, but operational complexity and scalability worsen due to dynamic traffic demands
Solution Approach 1:
The patent enables the network to self-manage interference through automated mechanisms. The system continuously monitors interference levels, node loads, and traffic conditions, and automatically reconfigures component carrier allocations without manual intervention. This self-service approach allows the network to adapt to dynamic traffic demands while managing interference effectively, eliminating the need for complex manual configuration.
Solution Approach 2:
The patent implements feedback loops where the system continuously monitors network conditions including interference levels, node load, and traffic demands. Based on this feedback, the system dynamically adjusts component carrier allocations to optimize interference management. The feedback mechanism enables the network to respond automatically to changing conditions, maintaining optimal performance without manual intervention.
3Reliability
If downlink broadcast channels are transmitted continuously, then quality of service is maintained, but energy consumption increases when no UEs are available to be served
Solution Approach 1:
The patent implements dynamic transmission scheduling where downlink broadcast channels are transmitted only when needed based on real-time UE availability and traffic conditions. The system monitors the presence of UEs and traffic demands, dynamically activating or deactivating broadcast transmissions accordingly. This dynamic approach ensures quality of service is maintained when UEs are present while avoiding unnecessary energy consumption when no UEs require service.
Data Source
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AI summary
A method, network element and user equipment, where in one embodiment at a network element within a secondary cell for self-optimizing operation with a primary cell, the method transmitting using an initial transmit power from the network element; requesting feedback from sensors located near a location; receiving the feedback from the sensors; and adjusting a transmit power based on the received feedback.