Wireless Interference Mitigation via Power Allocation
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Solution Overview
Problem
Current wireless communication systems, such as LTE-A, face challenges in improving average and cell-edge user equipment (UE) throughput due to interference from adjacent cells, which existing interference mitigation techniques like fractional frequency reuse and coordinated beamforming do not fully address, especially in terms of complexity and overhead.
Innovation Solution
The system splits serving and interfering signals into multiple substreams and employs a power allocation algorithm to calculate a power amplitude factor, using a multi-level water-filling procedure to optimize power distribution across substreams, thereby enhancing system utility and minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If coordinated beamforming with complete channel state information sharing is used, then inter-cell interference is minimized, but coordination overhead on air interface and backhaul becomes enormous
Solution Approach 1:
The patent extracts only the necessary channel state information (CSI) related to interference mitigation from the complete CSI set, rather than sharing all CSI between base stations. This selective extraction reduces the overhead on air interface and backhaul while still enabling effective coordinated beamforming for interference reduction.
Solution Approach 2:
The patent applies local quality by focusing CSI sharing on specific interference-relevant parameters for neighboring cells rather than complete CSI. This localized information exchange provides sufficient quality for interference mitigation while minimizing the overall overhead burden.
2Productivity
If fractional frequency reuse with dynamic power adjustment on each frequency partition is implemented, then cell-edge UE throughput is improved, but complicated derivative computation is required
Solution Approach 1:
The patent changes the optimization approach from derivative-based computation to a direct power allocation method using water-filling algorithm. This parameter change simplifies the computation while still achieving dynamic power adjustment across frequency partitions to improve cell-edge UE throughput.
Solution Approach 2:
The patent replaces complex derivative computation with simpler, more computationally efficient algorithms that require less processing power and time, making the system more practical for real-time implementation while maintaining throughput improvement benefits.
3Productivity
If single frequency reuse is used to increase average cell throughput, then bandwidth utilization is improved, but cell-edge UEs suffer from strong interference from adjacent cells
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different spatial regions within the cell. Cell-center UEs experience full frequency reuse for high throughput, while cell-edge UEs receive targeted interference mitigation through coordinated beamforming, creating locally optimized quality for each region.
Solution Approach 2:
The patent introduces coordinated beamforming as an intermediary mechanism that operates between single frequency reuse and fractional frequency reuse. This intermediary approach maintains the bandwidth utilization benefits of single frequency reuse while adding selective interference mitigation for cell-edge regions.
Data Source
AI summary
Described herein are implementations related to communication in a wireless communication system. In one implementation, serving signals from serving base stations and interfering signals from neighbor base stations are split into multiple substreams. A power allocation algorithm is used to calculate the power amplitude factor of the substreams communicated from the serving based stations coupled to corresponding wireless devices. A control signaling related to this implementation is described.