Dynamic Receiver Yielding Threshold for Decentralized Traffic Scheduling
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Solution Overview
Problem
In wireless communications systems lacking centralized control, scheduling of traffic segments is challenging due to the need for adaptive and flexible resource allocation to manage interference between peer-to-peer connections, where rigid approaches lead to inefficiencies.
Innovation Solution
The implementation of dynamic yielding thresholds for receiver and transmitter decisions based on historic link quality and quality of service information, allowing wireless terminals to adjust their transmission and reception strategies on a slot-by-slot basis to prioritize higher-priority connections and optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If rigid transmission determination approaches are used, then implementation is simple, but traffic air link resource usage efficiency deteriorates
Solution Approach 1:
The patent implements dynamic transmission determination where wireless terminals adjust their transmission decisions based on real-time situational awareness of other terminals' needs and requirements. The system transitions from static rigid rules to dynamic adaptive behavior by continuously monitoring link quality, interference conditions, and peer terminal states to make opportunistic transmission decisions that optimize resource utilization.
Solution Approach 2:
The patent changes the parameter of transmission determination from fixed rigid rules to variable adaptive parameters. Terminals modify their transmission behavior based on changing conditions such as link quality metrics, interference levels, and the operational state of peer terminals, allowing the system to adapt to varying traffic patterns and channel conditions.
2Adaptability or versatility
If decentralized scheduling is implemented, then system flexibility is improved, but interference management between peer-to-peer connections becomes more challenging
Solution Approach 1:
The patent implements feedback mechanisms where wireless terminals monitor and share information about link quality, interference conditions, and transmission success/failure. This feedback loop enables decentralized terminals to adjust their transmission decisions based on the actual impact they have on peer connections, allowing the system to maintain flexibility while managing interference through continuous adaptation.
Solution Approach 2:
The patent introduces situational awareness information as an intermediary that mediates between decentralized transmission decisions. By sharing knowledge about peer terminal needs, link quality, and interference conditions, terminals can make informed decisions that respect other connections, effectively using information as a mediator to coordinate decentralized actions without centralized control.
3Ease of operation
If wireless terminals transmit without considering peer connections, then transmission simplicity is improved, but quality of service for higher-priority connections deteriorates
Solution Approach 1:
The patent implements preliminary action by having wireless terminals gather situational awareness information about peer connections before making transmission decisions. Terminals proactively assess link quality, identify higher-priority connections, and determine potential interference impacts in advance, allowing them to make informed yielding decisions that protect quality of service while maintaining operational simplicity.
Data Source
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AI summary
Methods and apparatus relating to scheduling of air link resources, e.g., traffic segments, in a wireless communications system are described. Various described methods and apparatus are well suited to wireless peer to peer networks in which traffic scheduling is decentralized, e.g. an ad hoc peer to peer network. An individual wireless terminal corresponding to a peer to peer connection which desires to communicate traffic signals makes a receiver yielding decision. The receiver yielding decision, in some embodiments, includes comparing a link quality estimate corresponding to its own link, to a dynamically generated receiver yielding threshold. The dynamically generated receiver yielding threshold is determined based on at least one of: quality of service information corresponding to its own link and historical link quality information corresponding to its own link.