Distributed MIMO Scheduling via Temporal Segmentation

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Solution Overview

Problem

In wireless communication systems, especially those employing multiple-input multiple-output (MIMO) technology, there is a need for effective techniques to manage interference between devices sharing the same communication resource, particularly in scenarios where beamforming is used, as existing methods fail to efficiently coordinate transmissions to minimize interference between access points and stations.

Innovation Solution

The implementation of a distributed MIMO communication system that utilizes a processing system to generate frames based on a communication schedule, allowing multiple wireless nodes to share a communication resource by specifying timeslots for different nodes to communicate with specific access points, thereby reducing interference through coordinated beamforming and nulling operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple devices transmit on a shared communication resource using beamforming, then communication capacity is improved, but interference between devices occurs

Engineering Contradiction:
Improvecommunication capacityVSAvoidinterference between devices
Core Design Contradiction:
ProductivityVSObject-generated harmful factors

Solution Approach 1:

The patent segments the shared communication resource by dividing it into multiple timeslots, with each timeslot assigned to specific access points and stations. This temporal segmentation allows multiple devices to communicate on the same frequency resource without interfering with each other, as transmissions are separated in time rather than space.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements periodic action through scheduled transmissions in repeating timeslots. Access points and stations follow a periodic communication pattern where specific APs transmit to specific STAs in designated timeslots, then repeat the pattern. This periodic scheduling ensures that interference is avoided while maintaining high communication capacity through efficient resource reuse.

Inventive Principle:
Principle #19Periodic action

2Reliability

If distributed MIMO communication is implemented across multiple access points, then communication performance is improved, but coordination complexity increases

Engineering Contradiction:
Improvecommunication performanceVSAvoidcoordination complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a coordination mechanism where a controlling access point acts as an intermediary to manage distributed MIMO operations. The controlling AP coordinates beamforming and nulling operations across multiple APs, simplifying the complexity by centralizing control while still achieving the performance benefits of distributed MIMO through cooperative transmissions.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent merges the operations of multiple access points into a coordinated distributed MIMO system. By combining the transmitting and receiving capabilities of multiple APs and STAs, the system achieves improved communication performance through spatial diversity and beamforming, while the timeslot scheduling merges resource management into a unified coordination framework.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11497034B2Triggering distributed MIMO communication in a wireless node cluster
Publication Date: 2022.11.08 QUALCOMM INC
  • US11497034B2 patent drawing
  • US11497034B2 patent drawing
  • US11497034B2 patent drawing

AI summary

Various aspects of the disclosure relate to distributed multiple-input multiple-output (MIMO) communication such as coordinated beamforming or Joint MIMO. In some aspects, distributed MIMO is used to support communication in a cluster of wireless nodes (e.g., access points). A distributed MIMO scheduling scheme as taught herein is used to schedule the wireless nodes (e.g., access points and/or stations) operating within the cluster. For example, selected stations may be triggered to communicate with respective access points.