MIMO Power Distribution for Multiplicative Noise
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Solution Overview
Problem
MIMO communication systems face throughput limitations due to multiplicative noise, which is exacerbated by dominant data streams overpowering weaker ones, leading to reduced signal-to-noise ratios and inter-stream interference, especially in scenarios with rich scattering and high signal strength noise conditions.
Innovation Solution
The method involves distributing transmission power across MIMO data streams based on knowledge of the MIMO channel, specifically decreasing power allocated to dominant signal paths relative to weaker ones when multiplicative noise limits throughput, using a noise processor and power distribution unit to optimize power allocation and improve channel quality and throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transmission power is increased to improve throughput, then signal strength improves, but multiplicative noise increases proportionally
Solution Approach 1:
The patent applies local quality by differentiating power allocation across different data streams based on their individual channel conditions. Instead of uniform power distribution, the system identifies dominant data streams and allocates power locally optimized for each stream's SNR requirements, thereby improving throughput while controlling multiplicative noise impact on specific streams.
Solution Approach 2:
The patent changes the power allocation parameter dynamically based on channel conditions and SNR measurements. By adjusting power distribution parameters according to identified dominant streams and their interference characteristics, the system optimizes the balance between throughput and multiplicative noise effects.
2Ease of operation
If power is allocated equally across all data streams, then simplicity is maintained, but dominant streams overpower weaker streams reducing overall throughput
Solution Approach 1:
The patent performs preliminary identification of dominant data streams before power allocation. By detecting which streams have higher power levels or better channel conditions in advance, the system can pre-calculate optimized power distribution weights, avoiding complex real-time adjustments while improving throughput through informed power allocation.
3Reliability
If fewer data streams are used to avoid multiplicative noise impact, then noise conditions improve, but peak data rates decrease
Solution Approach 1:
The patent applies local quality by treating different data streams with different power allocation strategies based on their individual characteristics. Dominant streams receive adjusted power levels to prevent them from creating excessive multiplicative noise, while weaker streams receive sufficient power to maintain their contribution to peak data rates, thereby preserving both reliability and productivity.
Data Source
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Figure 3A~3C
AI summary
Throughput conditions limited by multiplicative noise may be improved by distributing a transmission power across MlMO data streams communicated between MIMO communication nodes. In particular, the transmission power is distributed based on knowledge at the transmitter of the MIMO channel to decrease the transmission power allocated to one or more of the data streams associated with a dominant signal path relative to the transmission power allocated to one or more data streams associated with a weaker signal path to increase at least one of a quality and a throughput condition of the MIMO channel.