MU-MIMO Traffic Staging Using SLA-Based Packet Delay
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Solution Overview
Problem
Existing wireless communication systems struggle to optimize transmission modes for multi-user multiple-input multiple-output (MU-MIMO) communications due to reliance on transceiver feedback that does not consider long-term network parameters and traffic patterns, leading to inefficiencies in grouping traffic flows for MU-MIMO transmissions.
Innovation Solution
A wireless access point (AP) delays the transmission of queued packets based on service-level agreement parameters and load conditions, allowing for dynamic grouping of traffic flows with additional packets to enhance MU-MIMO communications, adjusting thresholds and delay periods to optimize for network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If transceiver feedback is used to determine transmission modes, then transmission mode decisions can be made based on real-time channel conditions, but long-term network parameters and traffic patterns are not considered leading to suboptimal MU-MIMO grouping
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing long-term network parameters and traffic patterns before making MU-MIMO grouping decisions. The AP maintains historical traffic data and uses it to predict future traffic characteristics, enabling more informed transmission mode decisions that go beyond immediate feedback.
Solution Approach 2:
The invention implements a enhanced feedback mechanism that combines real-time transceiver feedback with long-term network parameter analysis. The system feeds back not only current channel conditions but also historical traffic patterns and network state information to improve the accuracy of MU-MIMO grouping decisions.
2Loss of time
If packets are transmitted immediately without delay, then latency is minimized for individual packets, but the likelihood of grouping packets for MU-MIMO transmission is reduced
Solution Approach 1:
The system applies partial delay to packets based on their characteristics and current network state. Rather than delaying all packets uniformly, the AP selectively delays packets that are candidates for MU-MIMO grouping while maintaining timely transmission for packets that do not benefit from grouping. The delay is controlled and bounded to prevent excessive latency.
Solution Approach 2:
The packet delay mechanism is dynamic rather than static. The AP adjusts delay parameters based on real-time network conditions, traffic patterns, and MU-MIMO opportunities. The system can adaptively change delay thresholds and timing to optimize the balance between latency and grouping efficiency under different operating conditions.
Data Source
AI summary
An AP obtains service-level agreement (SLA) parameters indicating at least a delay bound for each of a plurality of traffic flows. The AP receives first packets of a first traffic flow, and delays their transmission for a delay period based on the data carried in the first packets being less than a first threshold. During the delay period, the AP receives second packets of the first traffic flow while also receiving packets of a second traffic flow, groups the second traffic flow with the first traffic flow for an MU-MIMO transmission based on the data carried in the first and second packets of the first traffic flow being greater than the first threshold and the data carried in the packets of the second traffic flow being greater than a second threshold, and transmits the first and second packets traffic flows as an MU-MIMO communication.