Linear Precoding for MIMO Systems with Outdated CSI
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication networks, multiuser space-time block coded MIMO systems face challenges due to the lack of channel state information (CSI) required for optimal precoder and equalizer designs, leading to reduced data rates and performance limitations.
Innovation Solution
A joint set of linear precoder designs is developed for single cell uplink multiuser space-time block coded MIMO systems with multi-packet reception, exploiting outdated CSI through iterative techniques like alternating minimization and projected gradient algorithms to minimize pairwise error probability subject to transmit power constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If space-time block coded MIMO systems are used to achieve high data rates, then data rate is improved, but channel state information becomes outdated due to feedback delay
Solution Approach 1:
The patent applies preliminary action by deriving the pairwise error probability with respect to both minimum and average codeword distance design metrics in advance, and formulating the optimization problem before solving it through iterative techniques. The precoder designs are prepared based on available (though outdated) CSI before transmission occurs, allowing the system to exploit whatever channel state information is available rather than waiting for updated information.
2Reliability
If CSI is exploited for optimal precoder design, then system performance is improved, but CSI becomes outdated due to feedback delay
Solution Approach 1:
The patent applies parameter changes by formulating the optimization problem in terms of pairwise error probability with respect to both minimum and average codeword distance design metrics. By changing the optimization parameters and using iterative techniques (alternating minimization and projected gradient algorithms), the system adapts to work with outdated CSI rather than requiring real-time updates, thus maintaining performance despite time delays.
3Reliability
If iterative techniques are used to solve non-convex optimization problem, then precoder performance is improved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by breaking down the non-convex optimization problem into smaller sub-problems that can be solved through alternating minimization. Instead of attempting to solve the entire complex optimization problem at once, the patent segments it into iterative steps where different components are optimized sequentially, reducing the computational burden while still achieving improved precoder performance.
Data Source
AI summary
A joint set of linear precoder designs is provided for single cell uplink multiuser space-time block coded multiple-input multiple-output (MIMO) systems with multi-packet reception by exploiting outdated channel state information. By deriving the pairwise error probability with respect to both minimum and average codeword distance design metrics, the technique solves an optimization problem subject to transmit power constraint for each user and dependent on the outdated channel state information. Due to the non-convex nature of the optimization problem, an iterative technique based on alternating minimization and projected gradient can be used to solve for a joint linear preceding structure for general space-time block coding. The linear precoding structure is then sent from the base station to various consumer premise equipment for use in later transmissions. For orthogonal space-time block code, a simplified distributed technique is provided to solve for a closed-form solution of the optimization problem.


