Wi-Fi Link Adaptation Using Channel Temporal Occupancy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current link adaptation methods in telecommunications systems are restrictive and inefficient, particularly in wireless communication systems, as they focus solely on maximizing instantaneous throughput or energy efficiency without considering temporal channel occupancy, leading to sub-optimal operation and potential channel congestion.
Innovation Solution
A link adaptation method that selects a transmission mode based on a metric γ of temporal occupancy of the channel, ensuring optimal channel use by evaluating the ratio of channel availability time to transmission time, thereby guaranteeing average throughput and quality of service while minimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If link adaptation methods focus solely on maximizing instantaneous throughput, then throughput is improved, but channel congestion occurs and temporal availability deteriorates
Solution Approach 1:
The patent applies dynamics by making the transmission mode selection adaptive and time-varying based on channel conditions. The system dynamically adjusts the selected transmission mode according to real-time channel state information, temporal occupancy metrics, and availability predictions, rather than using a static selection criterion. This allows the system to optimize throughput while preventing congestion by responding to changing channel conditions.
Solution Approach 2:
The patent implements feedback mechanisms by using temporal occupancy metrics and channel availability predictions to inform transmission mode selection. The system continuously monitors channel usage patterns, calculates occupancy metrics, and uses this feedback to adjust mode selection decisions. This closed-loop approach ensures that throughput maximization does not lead to channel congestion.
2Use of energy by moving object
If link adaptation methods focus on maximizing energy efficiency, then energy consumption is reduced, but throughput and temporal availability deteriorate
Solution Approach 1:
The patent applies parameter changes by considering multiple transmission modes with different energy efficiency characteristics and selecting the optimal mode based on a composite criterion. Instead of always selecting the most energy-efficient mode, the system adjusts the selection based on temporal occupancy metrics and channel availability predictions, balancing energy efficiency with throughput requirements.
Solution Approach 2:
The system dynamically adjusts energy efficiency optimization based on real-time channel conditions and temporal occupancy. When channel availability is high and occupancy is low, the system can select more energy-efficient modes. When throughput requirements increase or channel conditions deteriorate, the system transitions to higher-throughput modes, creating a dynamic balance between energy efficiency and productivity.
3Productivity
If transmission modes with high instantaneous rates are selected, then throughput is improved, but temporal occupancy increases leading to channel congestion
Solution Approach 1:
The patent applies partial action by not always selecting the highest instantaneous rate transmission mode, but rather selecting modes that provide sufficient throughput while maintaining acceptable temporal occupancy. The system uses temporal occupancy metrics to determine when to use high-rate modes and when to opt for lower-rate modes to prevent channel congestion, achieving partial utilization of maximum rate capabilities.
Solution Approach 2:
The patent introduces temporal occupancy metrics and channel availability predictions as intermediary variables that mediate between instantaneous rate selection and channel congestion prevention. These metrics serve as intermediate indicators that guide the transmission mode selection process, allowing the system to balance throughput objectives with channel occupancy constraints.
4Device complexity
If channel access is random type, then system complexity is reduced, but channel congestion and temporal availability deteriorate
Solution Approach 1:
The patent applies self-service by enabling each transmission entity to autonomously determine optimal transmission modes based on locally computed temporal occupancy metrics and channel availability predictions. The system uses self-service mechanisms to monitor channel usage patterns, calculate occupancy metrics, and adjust transmission mode selections without requiring complex centralized coordination, maintaining low system complexity while improving channel availability.
Data Source
Figure 1~8
Figure 4~10
Figure 5~9
AI summary
The invention relates to a method (1) for adapting a link, using a selection criterion for selecting a frame transmission mode PPDU to be transmitted over a channel of a telecommunications system comprising an access point and a plurality of stations comprising different transmission modes with which different throughputs are associated, the access to the channel being of a random type. The selection uses a metric γ of temporal occupation of the channel.