CoMP Cell Grouping for Interference Mitigation
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Solution Overview
Problem
Inter-cell interference in wireless cellular telecommunication networks remains a significant source of performance impairment, particularly in CoMP architectures, where traditional methods like Zero Forcing require high-capacity backhaul and ad-hoc coordination, and do not effectively address inter-CoMP-cell interference.
Innovation Solution
The system groups CoMP cells into mutually exclusive subsets, allowing independent scheduling to minimize intra-CoMP-cell interference, with scheduling information passed between subsets to avoid inter-CoMP-cell interference, using a centralized or distributed method that accounts for Signal-to-Interference-Ratio (SIR) thresholds to ensure optimal global transmission/reception decisions without a global central unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Zero Forcing signal processing technique is used to suppress interference, then interference suppression performance is improved, but the requirement for high-capacity backhaul channel increases
Solution Approach 1:
The invention divides the network into multiple CoMP cells, each with its own central unit that independently performs scheduling and interference coordination. This segmentation eliminates the need for a single high-capacity global backhaul channel, as each local central unit only needs to coordinate within its own CoMP cell boundaries, reducing backhaul requirements while maintaining interference suppression capabilities.
2Reliability
If ad hoc coordination of multiple cells is implemented, then inter-cell interference coordination is improved, but coordination between larger CoMP cells remains insufficient
Solution Approach 1:
The invention creates a hierarchical coordination structure where multiple small cells are nested within larger CoMP cells, and multiple CoMP cells are coordinated through their respective central units. This nested architecture allows ad hoc coordination to operate effectively at the small cell level while the central units provide coordinated management at the CoMP cell level, enabling coordination to scale from local to regional levels without gaps.
3Reliability
If CoMP cells are coordinated within a single cell boundary, then intra-CoMP-cell interference is reduced, but inter-CoMP-cell interference at border areas persists
Solution Approach 1:
The invention implements feedback mechanisms where central units of neighboring CoMP cells exchange scheduling information and interference measurements. This feedback allows each CoMP cell to adjust its scheduling decisions based on the actual interference impact on neighboring cells, particularly at border areas. The iterative feedback process enables continuous optimization of interference coordination across CoMP cell boundaries.
4Reliability
If a global central unit is deployed for optimal transmission/reception decisions, then global coordination performance is improved, but system complexity and communication overhead increase significantly
Solution Approach 1:
The invention segments the global coordination function into distributed central units, each responsible for a specific CoMP cell. This segmentation achieves near-global optimization performance by enabling coordinated multi-point transmission and reception across multiple cells, while avoiding the complexity and communication overhead of a single global central unit. Each central unit makes locally optimal decisions that collectively achieve global performance.
Data Source
AI summary
A method and controller for reducing inter-cell interference within a Coordinated Multi-Point (CoMP) cellular network architecture. Multiple CoMP cells in the network architecture are grouped into a number of mutually exclusive subsets. The CoMP cells in each subset are sufficiently separated from each other geographically so that no inter-cell interference occurs among them, and thus they can be scheduled independently. Each subset then takes turn scheduling in a certain order. As each subset schedules its transmissions, it avoids causing interference to subsets that have already scheduled, and then passes sufficient information to the remaining subsets so that the same interference avoidance measures can be taken. The scheduling and passing of the information is preferably performed before the data transmission phase, which occurs once every Transmission Time Interval (TTI).


