CoMP Beamforming Inter-Cell Interference Suppression
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Solution Overview
Problem
Conventional multi-user beamforming schemes in cellular networks fail to effectively exploit coordination between access points in CoMP networks, leading to significant inter-cell interference that limits spectral efficiencies and performance.
Innovation Solution
The method determines downlink transmission parameters to maximize the jointly-achievable signal-to-intra-and-inter-cell-interference-plus-noise ratio (SIINR) margin for mobile terminals under sum or per-transmitter power constraints, using iterative processes to calculate beamforming vectors and power allocations that suppress inter-cell interference across multiple access points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional multi-user beamforming schemes are used in CoMP networks, then the system can transmit data to mobile terminals, but inter-cell interference is significant and spectral efficiency is limited
Solution Approach 1:
The patent merges the beamforming optimization of multiple access points into a unified joint optimization problem. By combining the transmit signals from multiple access points and optimizing them simultaneously based on channel state information, the system achieves coherent coordination that suppresses inter-cell interference while maintaining spectral efficiency.
Solution Approach 2:
The patent employs feedback mechanisms where mobile terminals provide channel state information to access points, and the system iteratively optimizes beamforming vectors and power allocations based on this feedback. This feedback loop enables the system to adapt to changing conditions and effectively manage inter-cell interference.
2Productivity
If joint adaptive beamforming is applied to coordinate multiple access points, then spectral efficiency improves, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the joint beamforming optimization into iterative steps, where beamforming vectors and power allocations are updated separately in alternating iterations. This segmentation makes the complex optimization problem more manageable and computationally feasible while maintaining the benefits of coordinated beamforming.
Solution Approach 2:
The patent implements dynamic beamforming where the beamforming vectors and power allocations are continuously adjusted based on current channel conditions. This dynamic adaptation allows the system to optimize spectral efficiency in real-time while managing complexity through algorithmic approaches like iterative optimization.
3Reliability
If beamforming is used to improve signal quality for mobile terminals, then coverage and signal strength improve, but inter-cell interference increases
Solution Approach 1:
The patent applies local quality optimization by tailoring beamforming vectors and power allocations to specific mobile terminals based on their individual channel conditions. Each terminal receives customized beamforming parameters that maximize its signal quality while the joint optimization ensures interference suppression in the broader context.
Data Source
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AI summary
Techniques for determining interference-suppressing downlink transmission parameters in a wireless network using coordinated multi-point (CoMP) transmission are disclosed. In each of several iterations of an exemplary method, a tentative user- specific antenna beam-forming vector for the antennas of the first cell is formed for each of several first mobile stations served by the cell and for each of several second mobiles in neighboring cells, based on a most recent tentative virtual allocation of uplink transmitter power to each of the mobile station and virtual uplink signal-to- noise-plus-interference ratios for the mobile stations that account for inter-cell interference. Further, a current tentative allocation of downlink transmitter power to each of the first mobile stations is determined for each iteration, based on the tentative user-specific antenna beam-forming vectors for the first cell, a pre-determined transmitter power constraint for the first cell, and target signal-to-noise-plus- interference ratios for the fast mobile stations.