Dynamic Sleep Interval Adjustment for Wireless Network Devices
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Solution Overview
Problem
The IEEE 802.16e standard for wireless communication devices lacks an efficient mechanism to dynamically adjust sleep/awake intervals, leading to high power consumption, especially in scenarios with multiple connections, and primarily focuses on real-time data types, neglecting non-real-time data types.
Innovation Solution
A method and system that dynamically adjust the sleep/awake intervals of wireless network devices by determining awake frame candidate sets, sleep intervals, and awake intervals based on transmission cycles, data generation rates, and maximum grant delays, allowing for combined data transmission within optimized frames to reduce power consumption without compromising quality of service (QoS).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the MSS uses fixed sleep time intervals as specified in IEEE 802.16e standard, then the power consumption is reduced through regular sleep cycles, but the operation time is limited due to inability to extend sleep periods dynamically
Solution Approach 1:
The patent implements dynamic adjustment of sleep time intervals, transitioning from fixed periodic sleep cycles to adaptive intervals that extend based on traffic conditions. The MSS calculates extended sleep periods by considering grant delays and traffic patterns, allowing the sleep duration to vary dynamically rather than following rigid fixed intervals, thereby resolving the contradiction between energy saving and operation time.
Solution Approach 2:
The patent changes the parameter of sleep time interval from a fixed value to a dynamically adjustable parameter. By modifying the sleep interval parameter based on traffic load, grant delays, and connection types, the system can extend operation time while maintaining power efficiency, directly addressing the limitation of fixed sleep cycles in the standard.
2Adaptability or versatility
If the MSS has multiple connections with different sleep and listen times, then more connections can be established, but the power consumption increases because the MSS can only sleep when all connections are in sleep state
Solution Approach 1:
The patent merges multiple connections with different sleep and listen time requirements into a unified power management approach. By calculating a consolidated sleep interval that accommodates all connections and combining their traffic patterns, the MSS can enter sleep mode even when individual connections have different timing requirements, thereby maintaining high connection versatility while reducing power consumption.
Solution Approach 2:
The patent creates a universal power-saving mechanism that handles multiple connection types (real-time and non-real-time) with different QoS requirements through a single adaptive sleep interval calculation. This multi-functional approach allows the MSS to manage diverse connections efficiently without requiring separate sleep schedules for each connection, resolving the contradiction between connection versatility and power consumption.
3Reliability
If the MSS wakes up frequently to check for packets in listen time, then data transmission reliability is maintained, but power consumption increases
Solution Approach 1:
The patent transforms the periodic wake-up action from a fixed-frequency operation to an adaptive periodic action. By calculating extended sleep intervals based on traffic patterns and grant delays, the MSS determines optimal wake-up periods that maintain data transmission reliability while reducing the frequency of wake-ups compared to standard fixed intervals, thereby resolving the contradiction between reliability and power consumption.
Solution Approach 2:
The MSS performs self-service by autonomously calculating extended sleep intervals based on its own traffic patterns, connection types, and grant delay requirements. This self-determined wake-up schedule allows the device to maintain reliability for its specific traffic conditions while minimizing power consumption through optimized wake-up frequency, eliminating the need for conservative frequent wake-ups imposed by the standard.
4Use of energy by moving object
If the MSS extends sleep time exponentially when no packets are received, then power consumption is reduced, but this approach is only suitable for Best Effort and non-real-time Polling Service data types
Solution Approach 1:
The patent changes the parameter of sleep interval from a data-type-specific fixed value to a dynamically adjustable parameter that adapts to different data types. By calculating extended sleep intervals based on grant delays and traffic patterns specific to each connection type (UGS, rtPS, nrtPS, BE), the system makes the power-saving mechanism universally applicable across all service types while maintaining their specific QoS requirements.
Solution Approach 2:
The patent implements dynamic adaptation of sleep intervals for different data types, transitioning from static exponential extension suitable only for BE/nrtPS to dynamic calculation that accommodates real-time requirements. The system dynamically adjusts sleep behavior based on connection type, grant delay, and traffic patterns, making power-saving effective for UGS and rtPS while maintaining their strict timing requirements.
Data Source
AI summary
A system and a method thereof for dynamically adjusting sleep/awake intervals of a wireless network device are provided. The system has at least one base station (BS) and at least one wireless network device. The system performs the method to dynamically adjust the sleep/awake intervals by properly delaying and combining delivery of data such that the wireless network device is turned into a sleep mode after finishing data delivery within an adjusted period. Thereby, the number of awake frames of a mobile subscriber station (MSS) can be reduced without sacrificing the quality of service (QoS).