Distributed Uplink Power Control via Common Interference Patterns
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Solution Overview
Problem
Centralized uplink power control and scheduling in wireless networks consume significant network resources and are impractical for large networks, making it challenging to effectively mitigate inter-cell-interference (ICI) in the uplink communication channel.
Innovation Solution
The method involves generating common interference patterns using long-term channel statistics, which are then used by base stations to perform localized uplink power control and scheduling, reducing the need for extensive network resource consumption by setting individual eNB-to-eNB interference thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized power control and scheduling is used, then optimal coverage and throughput are achieved, but network resource consumption increases significantly
Solution Approach 1:
The patent divides the centralized control function into two parts: a central controller that generates interference patterns and individual eNBs that perform localized power control and scheduling decisions. This segmentation allows the network to achieve near-optimal performance distributed across multiple nodes rather than requiring all computations at a single centralized point, thereby reducing overall network resource consumption while maintaining coverage and throughput.
Solution Approach 2:
The patent introduces interference patterns as an intermediary that conveys essential interference information from the central controller to individual eNBs. These patterns serve as a compact representation of network-wide interference conditions, enabling distributed eNBs to make informed local decisions without requiring continuous centralized computation, thus reducing network resource consumption while maintaining optimal performance.
2Reliability
If centralized power control and scheduling is used, then optimal coverage and throughput are achieved, but system complexity increases
Solution Approach 1:
The patent segments the complex centralized control system into simpler distributed components where each eNB independently performs power control and scheduling based on received interference patterns. This segmentation reduces the computational burden and complexity at any single node while achieving optimal network-wide performance through coordinated distributed decisions.
3Use of energy by moving object
If localized power control and scheduling is used, then network resource consumption is reduced, but interference mitigation performance deteriorates
Solution Approach 1:
The patent uses interference patterns as an intermediary information carrier that enables distributed eNBs to achieve effective interference mitigation. These patterns provide each eNB with essential knowledge about network-wide interference conditions, allowing localized decisions to account for inter-cell interference without requiring continuous centralized coordination, thus maintaining performance while reducing resource consumption.
Solution Approach 2:
The system implements feedback through the transmission of interference patterns from the central controller to eNBs. This feedback mechanism provides distributed nodes with the information needed to make informed local decisions that account for network-wide interference conditions, ensuring that localized power control and scheduling achieve effective interference mitigation comparable to centralized approaches.
Data Source
AI summary
Methods and systems for facilitating uplink power control (PC) and scheduling in a wireless network are provided. In one example, common interference patterns are obtained from long term channel statistics, and used to perform local PC and scheduling by distributed base stations (eNBs). In some implementations, the common interference patterns are obtained through statistical narrowing techniques that identify common ones out of a plurality of potential interference patterns. The common interference patterns may specify maximum interference thresholds and/or individual eNB-to-eNB interference thresholds which may govern the local PC and scheduling decisions of the distributed eNBs.


