Multi-Cell Interference Management in Heterogeneous Networks
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Solution Overview
Problem
Heterogeneous wireless networks face significant interference issues due to the presence of different types of base stations, particularly small cells within macro cell coverage areas, leading to severe communication link degradation, especially in boundary regions, which existing technologies have not adequately addressed.
Innovation Solution
The implementation of Multi-Cell Interference Management (MCIM) schemes that utilize Channel Quality Indicators (CQI) and Reference Signal Received Power (RSRP) measurements to create subband scheduling directives and utility gradients, enabling effective radio resource management and interference mitigation across heterogeneous networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If small cells are deployed within macro cell coverage areas to increase network capacity, then system capacity is improved, but interference between cells increases severely
Solution Approach 1:
The patent segments the frequency spectrum into subbands and divides time into subframes, creating a structured resource allocation framework. This segmentation allows the system to manage interference by controlling resources in smaller, manageable units rather than treating the entire spectrum at once, enabling precise interference management while maintaining high system capacity.
Solution Approach 2:
The patent applies different transmission strategies to different spatial locations and frequency subbands based on local interference conditions. By determining whether to transmit in ABS subframes or use normal subframes based on local CQI measurements and interference levels, the system optimizes performance for each specific cell and subband combination, allowing small cells to operate at high capacity while managing interference locally.
2Object-generated harmful factors
If resource partitioning is used to mitigate interference, then interference is reduced, but system complexity increases
Solution Approach 1:
The patent implements self-organizing network (SON) capabilities where base stations automatically measure interference levels, determine appropriate transmission strategies, and configure their own operation without requiring complex centralized control. Each base station independently measures CQI, determines ABS or normal subframe usage, and adjusts transmission parameters, significantly reducing the complexity of centralized resource management while effective interference mitigation.
3Object-generated harmful factors
If beamforming is used for interference mitigation, then interference is reduced in specific directions, but system complexity increases
Solution Approach 1:
The patent applies a simplified form of spatial processing by determining whether to transmit in ABS subframes or normal subframes based on measured interference levels and CQI, rather than implementing full beamforming. This partial action approach provides effective interference mitigation through subframe selection and power control while avoiding the computational complexity of sophisticated beamforming operations.
Data Source
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AI summary
Multi-cell interference management (MCIM) for interference management among multiple cells in a wireless communication network is provided. In some embodiments, MCIM includes collecting data (e.g., CQI measurements and/or subband usage statistics) from a neighborhood of base stations; determining local and neighborhood system utility metrics; and determining interference managing directives (e.g., that can be communicated to the MAC layer of a base station in the neighborhood of base stations).