Wireless Multi-Site Capacity Coordination via Interference-Aware Power Allocation
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Solution Overview
Problem
Conventional wireless cellular networks face performance issues due to varying numbers of user equipment terminals, leading to inefficient resource allocation and increased co-channel interference, which affects downlink data throughput and network performance.
Innovation Solution
A system that coordinates power resource distribution across cells by sorting neighboring cells by interference metric values, calculating a threshold, and adjusting transmit power levels to reduce interference, ensuring equitable resource allocation and improved network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cells serve more user equipment terminals, then network coverage and connectivity are improved, but co-channel interference increases and downlink data throughput decreases
Solution Approach 1:
The patent implements dynamic transmission power adjustment where cells modify their power levels in real-time based on current interference conditions and user equipment distribution. This allows the system to adapt power allocation dynamically rather than using fixed power levels, resolving the contradiction by enabling high user density while controlling interference through adaptive power management.
Solution Approach 2:
The system changes the transmission power parameter based on the number of active users and interference metrics. By varying power levels as a function of network conditions (number of UEs, interference measurements), the patent achieves both high capacity and controlled interference, transforming a static parameter into a dynamic control variable that balances throughput and interference.
2Area of stationary object
If transmission power is increased to improve signal strength, then coverage area is expanded, but co-channel interference to neighboring cells increases
Solution Approach 1:
The patent applies different transmission power levels to different cells based on their specific conditions (number of active users, interference metrics, coverage requirements). Rather than uniform power allocation, each cell receives customized power settings that balance its coverage needs against its interference impact on neighbors, achieving local optimization of the coverage-interference tradeoff.
Solution Approach 2:
The system incorporates feedback mechanisms where cells monitor interference levels and adjust their transmission power accordingly. By continuously measuring interference metrics and using this feedback to modulate power allocation, the system maintains coverage while preventing excessive interference to neighboring cells through closed-loop control.
3Device complexity
If static power allocation is used to simplify resource distribution, then system complexity is reduced, but adaptability to dynamic network conditions deteriorates
Solution Approach 1:
The patent employs preliminary calculations and pre-computed power allocation strategies that are adjusted based on current conditions. By preparing allocation frameworks in advance and then applying them with real-time condition adjustments, the system achieves adaptability without requiring completely complex real-time optimization, balancing simplicity and versatility.
Data Source
AI summary
Wireless multi-site capacity coordination includes calculating a total interference impact metric for a reference cell, determining a distribution of power resources for the reference cell and a plurality of neighboring cells, and allocating the power resources to sub-bands for the reference cell and the plurality of neighboring cells. Determining a distribution of power resources includes determining power resources to assign to sub-bands and assigning the determined power resources to sub-bands.