Central Scheduler Mitigates Cross-Cell Interference
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Solution Overview
Problem
Heterogeneous wireless communication networks face challenges in managing cross-cell interference, particularly in dense networks with shared frequency bands, which limits system performance and capacity, especially at the cell edge.
Innovation Solution
A system and method that uses joint encoding techniques and a central scheduler to mitigate cross-cell interference by selecting target UEs and pre-selecting signal-to-noise power, ensuring orthogonality of channel matrices and minimizing interference between network nodes, while maximizing network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network nodes transmit simultaneously on shared frequency bands to increase network capacity, then system throughput is improved, but cross-cell interference increases
Solution Approach 1:
The system performs preliminary channel state information acquisition and interference estimation before transmission scheduling. The eNodeB obtains channel state information from UEs and estimates interference levels in advance, enabling the scheduler to make informed decisions about which nodes should transmit simultaneously, thus resolving the contradiction between network capacity and cross-cell interference.
Solution Approach 2:
The transmission scheduling is made dynamic and adaptive rather than static. The system continuously monitors channel conditions, interference levels, and network load, adjusting transmission parameters in real-time. This dynamic scheduling allows the system to maximize network capacity when conditions permit while minimizing cross-cell interference when necessary, resolving the contradiction through adaptive management.
2Object-generated harmful factors
If ABS/RBS frames are created to coordinate interference between macro-cell and small-cells, then cross-cell interference is reduced, but system capacity is lost
Solution Approach 1:
Instead of using fixed ABS/RBS frame structures, the system dynamically adjusts transmission parameters based on real-time channel conditions and interference levels. The scheduler modifies power levels, transmission timing, and resource allocation parameters adaptively, allowing the system to reduce cross-cell interference only when necessary while maintaining high system capacity during low-interference periods.
Solution Approach 2:
The system enables network nodes to autonomously manage their own transmissions based on channel state information and interference estimates. Each node can self-adjust its transmission parameters without requiring centralized coordination through ABS/RBS frames, thereby reducing the capacity loss associated with these coordinated silence periods while still managing cross-cell interference effectively.
3Object-generated harmful factors
If multiple network nodes coordinate transmissions to mitigate interference, then cross-cell interference is reduced, but scheduling complexity increases
Solution Approach 1:
The scheduling function is segmented and distributed rather than centralized. Each network node independently manages its own scheduling based on local channel state information and interference estimates, reducing the complexity burden on any single entity. The eNodeB coordinates overall resource allocation while individual nodes handle their own transmission timing and power control, dividing the complex scheduling task into manageable segments.
Solution Approach 2:
The system implements feedback mechanisms where UEs report channel state information and network nodes provide interference estimates back to the scheduler. This feedback loop enables continuous optimization of transmission parameters without requiring complex predictive algorithms, simplifying the scheduling process while effectively managing cross-cell interference through adaptive responses to actual channel conditions.
Data Source
AI summary
The present invention provides a method and a system for scheduling and mitigating cross-cell interference. The system comprises a plurality of N network nodes, each having a baseband processor and a transmit antenna Nt, capable of handling multiple input multiple output (MIMO) channels, communicatively coupled with a plurality of K co-residents user equipment (UEs); a central scheduler configured to control scheduling of said plurality of network nodes; wherein each network node is configured to select a plurality of UEs and provide the shortlisted UEs to the central scheduler; the central scheduler in turn identifies a target set of UEs and the co-residents for each network node; and the network node is configured to pre-select signal-to-noise power to the target UEs without impacting transmission of co-residents UEs.