Mmimo Precoder Computation With Approximate Decoder
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Solution Overview
Problem
Current beamforming techniques in massive multiple input multiple output (MIMO) radio access networks face challenges in maximizing power transmission while maintaining spatial diversity, as they often sacrifice throughput or increase complexity, and fail to effectively balance signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR) with power constraints.
Innovation Solution
The implementation of a base station processing device that computes a precoder by jointly maximizing the signal with respect to noise and minimizing interference using an approximate decoder, while adhering to power constraints, employing methods like block coordinate descent and stochastic gradient descent to optimize power distribution across antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If current beamforming techniques are used to maximize power transmission, then power transmission is improved, but throughput is reduced and complexity increases
Solution Approach 1:
The patent transforms the original non-convex optimization problem into a convex form by changing the parameter representation. Specifically, it uses the relationship W = UΣV^H and reformulates the problem in terms of the singular values and vectors, allowing the use of efficient convex optimization algorithms that maintain both high throughput and power transmission without excessive complexity
Solution Approach 2:
The patent segments the precoder computation into two parts: an approximate decoder computation (which is simpler) and a precoder computation based on the decoder. This segmentation allows the system to achieve near-optimal performance by computing the approximate decoder first, then deriving the precoder from it, rather than computing the full optimal precoder directly
2Power
If current beamforming techniques are used to maximize power transmission, then power transmission is improved, but device complexity increases
Solution Approach 1:
The patent changes the computational parameters by reformulating the optimization problem in terms of different variables (using the SVD decomposition parameters U, Σ, V^H). This transformation enables the use of efficient convex optimization techniques that reduce computational complexity while maintaining the ability to maximize power transmission effectively
Solution Approach 2:
The patent uses an approximate decoder as a computationally inexpensive surrogate for the exact decoder. By computing an approximate solution first and then using it to guide the precoder computation, the system achieves near-optimal power transmission with significantly reduced computational burden, effectively using a 'cheap' approximation to reach the optimal solution
3Productivity
If beamforming techniques balance SNR and SINR with power constraints, then network capacity is improved, but computational complexity increases
Solution Approach 1:
The patent transforms the complex optimization problem of balancing SNR and SINR under power constraints into a convex optimization framework. By changing the parameter space and using the approximate decoder as an intermediate step, the system can efficiently compute precoders that balance these metrics without requiring exhaustive search or highly complex algorithms
Data Source
AI summary
According to an aspect of an embodiment, a base station configured for beamforming estimation in a massive multiple input multiple output (mMIMO) radio access network (RAN) (mMIMO-RAN) may comprise a processing device and a transceiver. The processing device may be configured to compute, at the base station, a precoder based on jointly maximizing the signal with respect to noise and minimizing an interference with respect to the noise using an approximate decoder. The processing device may be configured to compute, at the base station, the precoder based on a power constraint. The processing device may be configured to generate, at the base station, the precoder for precoding a downlink signal for transmission from the base station to a user equipment (UE). The transceiver may be configured to transmit the DL signal to the UE.