Queue-Aware User Scheduling in Multi-User MIMO Systems

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Solution Overview

Problem

Current multi-user MIMO systems face challenges in managing throughput and delay performance, particularly in real-time applications, due to bursty data arrivals and the complexity of integrating channel state information (CSI) and queue state information (QSI) for user scheduling, which often results in high complexity and exponential computational costs.

Innovation Solution

A two-timescale queue-aware user scheduling algorithm is introduced, comprising a queue-aware mobile-driven feedback filtering stage and a dynamic queue-weighted user scheduling stage, which determines a subset of mobile devices with feedback priority based on QSI and schedules communications using CSI and QSI, optimizing queue stability and reducing feedback overhead.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If full CSIT knowledge is used for user scheduling, then throughput performance is improved, but feedback overhead and system complexity increase significantly

Engineering Contradiction:
Improvethroughput performanceVSAvoidfeedback overhead
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the user set into multiple subsets based on queue state information (QSI), where only users in specific subsets need to provide channel state information (CSI) feedback. This segmentation allows the system to achieve good throughput performance with reduced feedback overhead by selectively scheduling users rather than requiring feedback from all users.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by requiring CSI feedback only from a portion of users (those in selected subsets) rather than all users. The queue-aware subset selection ensures that this partial feedback mechanism still achieves effective throughput performance by focusing feedback collection on users who are more likely to be scheduled based on their queue states.

Inventive Principle:
Principle #16Partial or excessive action

2Loss of time

If queue state information is integrated with channel state information for scheduling, then delay performance is improved, but computational complexity increases exponentially

Engineering Contradiction:
Improvequeuing delayVSAvoidcomputational complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent divides the scheduling decision into two independent stages: first selecting user subsets based on QSI, then scheduling within those subsets using CSI. This segmentation avoids the exponential complexity of jointly optimizing both QSI and CSI, as each stage can be performed separately with polynomial complexity operations.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent employs dynamic subset selection where the composition of user subsets changes over time based on queue state variations. This dynamic approach allows the system to adapt to changing traffic conditions and achieve good delay performance without requiring exhaustive search, as the subset selection follows simple rules based on current queue states rather than complex real-time optimization.

Inventive Principle:
Principle #15Dynamics

3Device complexity

If reduced feedback schemes are used, then feedback overhead is reduced, but throughput performance deteriorates due to limited CSIT knowledge

Engineering Contradiction:
Improvefeedback overheadVSAvoidthroughput performance
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent introduces queue-aware feedback mechanisms where users provide not only CSI but also their queue state information to the base station. This enhanced feedback allows the base station to make more informed scheduling decisions, selecting appropriate user subsets based on QSI and then using CSI for precise resource allocation, thereby maintaining throughput performance while reducing overall feedback overhead compared to full CSIT collection.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9755711B2Large deviation delay analysis of queue-aware multi-user MIMO systems with multi-timescale mobile-driven feedback
Publication Date: 2017.09.05 TAIWAN SEMICONDUCTOR MANUFACTURING CO LTD
  • US9755711B2 patent drawing
  • US9755711B2 patent drawing
  • US9755711B2 patent drawing

AI summary

A subset of mobile device candidates in a multi-input multi-output (MIMO) channel of network devices is selected for having a feedback priority among a set of mobile device candidates. The selection is based on a set of queue state information of a plurality of mobile device queues for transmitter and receiver devices of the MIMO channel in a multi-user MIMO network. A portion of the subset of mobile device candidates can be selected by a scheduling component of the system. Communications on the MIMO channels can be scheduled to the portion of the subset of mobile device candidates based on the feedback comprising channel state information and on the queue state information of the plurality of mobile device queues.