Delay Tolerant Indicator for M2M Traffic Scheduling
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Solution Overview
Problem
The growing number of users in wireless communication systems, particularly Machine to Machine (M2M) traffic, leads to congestion and overload, affecting all users, both machines and humans, especially during peak times when multiple devices attempt to transmit data simultaneously.
Innovation Solution
Implementing a method in transceivers and communication nodes to prioritize M2M traffic by using a delay tolerant indicator, which allows devices to dynamically indicate their delay tolerance, enabling intelligent request selection and reducing congestion by scheduling transmissions at optimal times, thereby preventing overload in the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If M2M traffic is allowed to transmit simultaneously during peak times, then the system supports high user capacity and M2M communication functionality, but congestion and overload occur affecting all users
Solution Approach 1:
The system dynamically adjusts the behavior of M2M devices based on network conditions. When congestion is detected, M2M traffic is deferred to later transmission opportunities, while human user traffic maintains normal service. This dynamic adaptation allows the system to handle varying loads without permanent degradation of service quality.
Solution Approach 2:
Different quality of service is provided to different types of traffic based on their characteristics. Human user traffic receives high priority treatment to ensure reliable communication, while M2M traffic is subjected to rate limiting and deferral mechanisms. This local differentiation resolves the contradiction by allowing high user capacity for M2M while protecting overall system reliability.
2Reliability
If M2M devices transmit data at scheduled intervals, then congestion is reduced during peak times, but delay tolerant traffic may experience unnecessary transmission delays
Solution Approach 1:
The transmission scheduling for M2M devices is dynamic rather than static. Devices monitor network conditions and adjust their transmission timing accordingly. When the network is under normal load, M2M traffic can transmit with minimal delay. When congestion is detected, transmission is deferred to later opportunities, balancing congestion control with delay minimization.
Solution Approach 2:
The system uses feedback from network congestion indicators to adjust M2M transmission scheduling. Congestion detection mechanisms provide feedback to M2M devices, which then adapt their transmission behavior. This feedback loop ensures that transmission delays are minimized when possible while still providing congestion control when necessary.
3Ease of operation
If all users are treated equally in the network, then fairness is maintained, but delay-tolerant M2M traffic unnecessarily impacts Human to Human communication quality
Solution Approach 1:
The system applies different service treatments to different user categories based on their communication needs. Human user traffic is prioritized to ensure high communication quality, while M2M traffic is subjected to rate limiting and deferral. This local quality differentiation resolves the contradiction by maintaining fairness in terms of resource allocation while protecting H2H communication quality through targeted priority handling.
Solution Approach 2:
The network traffic is segmented into different categories with different handling policies. M2M traffic is separated from human user traffic and subjected to specific rate limiting and scheduling mechanisms. This segmentation allows the system to maintain overall fairness while protecting critical H2H communication from being impacted by bulk M2M traffic.
4Reliability
If network capacity is increased to handle all traffic simultaneously, then no congestion occurs, but network cost and complexity increase
Solution Approach 1:
The system takes preliminary action by implementing rate limiting and scheduling mechanisms for M2M traffic before congestion occurs. By proactively managing M2M traffic patterns and deferring non-urgent transmissions, the system prevents congestion without requiring excessive network capacity. This preliminary management approach reduces the need for costly network dimensioning while maintaining reliable operation.
Data Source
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AI summary
The embodiments herein relates to a method in a transceiver (110) for enabling traffic prioritizing in a wireless communication system (100). The transceiver (110) is configured to transmit traffic to a first communication node (101, 120). The transceiver (110) transmits a message to the first communication node (101, 120). The message comprises an indicator indicating that the transmitted traffic tolerates a delay, enabling traffic prioritizing in the wireless communication system (100).