Memory Controller MIMO Precoding for Higher Throughput Links
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Solution Overview
Problem
Current communication solutions between memory controllers and memory devices lack the efficiency and reliability provided by MIMO technology, which is typically used in wireless communication systems, leading to suboptimal data rates, reliability, and power consumption.
Innovation Solution
Implementing MIMO communication between memory controllers and memory devices using precoding techniques, including linear and neural network-based precoding, to optimize data transmission and reception, utilizing multiple antennas and channels for improved data throughput, reliability, and reduced power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional single-antenna communication is used between memory controllers and memory devices, then device complexity is reduced, but data rates and throughput are limited
Solution Approach 1:
The communication system is segmented into multiple independent transmission channels, each using a separate antenna. The memory controller and memory device each employ multiple antennas to create parallel communication paths, allowing data to be transmitted simultaneously over multiple channels, thereby increasing overall data rates while maintaining manageable complexity through modular channel design
Solution Approach 2:
The system transitions from single-antenna scalar communication to multi-antenna vector communication by adding spatial dimensionality. Multiple antennas create a multi-dimensional communication space where data streams can be multiplexed in the spatial domain, enabling higher throughput without proportionally increasing processing complexity at each endpoint
2Productivity
If traditional single-antenna communication is used, then device complexity is reduced, but overall data throughput is limited
Solution Approach 1:
Multiple antenna channels are merged into a unified MIMO communication framework where data from multiple sources is combined and transmitted simultaneously. The system merges spatial diversity with frequency or time division multiplexing to achieve high throughput, while the memory controller consolidates channel management functions to prevent complexity proliferation
Solution Approach 2:
The multi-antenna system provides universal communication capability that can handle multiple data streams, error correction, and spatial diversity simultaneously. Each antenna serves multiple functions including data transmission, channel estimation, and diversity reception, reducing the need for separate dedicated systems for each function
3Use of energy by moving object
If concentrated power is used in traditional communication, then power efficiency is simple to manage, but power consumption is high and communication range is limited
Solution Approach 1:
The power consumption is segmented and distributed across multiple antenna channels rather than concentrated in a single transmitter. Each antenna operates at lower power levels while maintaining effective communication through spatial diversity, reducing peak power requirements and thermal management complexity while extending effective communication range
Solution Approach 2:
The system changes the power distribution parameters from concentrated high-power single-channel transmission to distributed lower-power multi-channel transmission. By adjusting power allocation across multiple antennas and utilizing spatial diversity gain, the system achieves equivalent or superior link quality at lower total power consumption
4Reliability
If traditional communication without redundancy is used, then communication speed is maintained, but reliability is reduced
Solution Approach 1:
The system incorporates redundancy and error correction codes before transmission across multiple antenna channels. By preparing forward error correction capabilities in advance and using spatial diversity, the system can correct errors without retransmission, cushioning against potential communication failures and maintaining continuous data flow without time loss
Data Source
AI summary
The present invention relates to a memory controller and a memory device that are configured to communicate with each other using multiple input multiple output (MIMO) technology. The memory controller includes a precoder that precodes data for transmission. The precoding is based on channel state information, a neural network, or both. The memory device receives the precoded data and decodes them to retrieve the original data. In some cases, the precoder uses the channel state information to optimize the precoding matrix for the given channel conditions. In some cases, a neural network is trained to predict the optimal precoding matrix for the current channel state. The precoding matrix is then used to encode the data, which is then transmitted to the memory device. The use of MIMO and precoding improves the reliability and efficiency of the communication between the memory controller and memory device.