Wireless Uplink Parameter Selection via Probability Tables
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Solution Overview
Problem
Wireless communication networks face challenges in optimizing uplink transmissions from terminals to gateways without prior knowledge of uplink radio conditions, such as signal-to-noise ratio or power, which affects Quality of Service (QoS) and power consumption, especially in mobile or changing environments.
Innovation Solution
A method for determining and using predetermined values of transmission parameters like spreading factor and output power, based on pre-computed probabilities and lists stored in the communication device, to optimize data transmission quality without requiring information about uplink radio conditions or a downlink channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If closed loop power and spreading factor adaptation is used to optimize transmission quality, then QoS is improved, but device complexity and network resource consumption increase due to frequent feedback exchanges
Solution Approach 1:
The patent pre-calculates and stores optimal parameter combinations (power, spreading factor) and their associated probabilities in lookup tables during device initialization or manufacturing. When transmission is needed, the device directly queries these pre-computed tables based on current conditions without requiring feedback exchanges, thereby resolving the contradiction between QoS optimization and feedback complexity.
Solution Approach 2:
The device autonomously determines transmission parameters by self-querying its internal lookup tables based on local conditions, without needing external feedback from the network. This self-service mechanism eliminates the need for complex feedback exchanges while maintaining optimized transmission quality.
2Device complexity
If static or semi-static power adaptation is used to reduce feedback exchanges, then device complexity is reduced, but adaptability to changing radio conditions deteriorates
Solution Approach 1:
The patent introduces dynamic adaptability through probability-based parameter selection from lookup tables. Instead of fixed static parameters, the device dynamically selects transmission parameters by querying pre-computed tables that contain multiple possible parameter combinations with associated probabilities, allowing adaptation to changing conditions without continuous feedback.
Solution Approach 2:
The patent changes the approach from fixed parameter values to probability-weighted parameter selections. The lookup tables store multiple parameter combinations (power, spreading factor) with associated probabilities, enabling the device to adaptively select appropriate parameters based on current conditions while maintaining low complexity.
3Adaptability or versatility
If beacon signal reception is used to determine transmission parameters, then adaptability to radio conditions is improved, but device complexity increases due to beacon processing requirements
Solution Approach 1:
Instead of processing beacon signals at runtime, the patent pre-computes and stores optimal parameter combinations and their probabilities in lookup tables during device initialization. This preliminary action eliminates the need for complex beacon processing while maintaining adaptability to radio conditions.
Solution Approach 2:
The patent creates a simplified copy of the network's channel state information in the form of pre-computed lookup tables stored locally in the device. This copying approach allows the device to access transmission parameter recommendations without needing to receive or process actual beacon signals, reducing complexity while maintaining adaptability.
4Reliability
If higher transmission power or spreading factor is used to ensure reliable communication in mobile environments, then QoS is improved, but power consumption increases
Solution Approach 1:
The patent changes from fixed high-power transmission to probability-based parameter selection. The lookup tables contain multiple power and spreading factor combinations with associated probabilities, allowing the device to select appropriate parameter levels based on current conditions, thereby reducing power consumption while maintaining communication reliability.
Solution Approach 2:
Instead of always using maximum transmission power or spreading factor to ensure reliability, the patent applies partial action by selecting parameter combinations based on probability weights. This allows the device to use higher parameters only when necessary (according to probability assessments) rather than continuously, reducing overall power consumption while maintaining adequate reliability.
Data Source
AI summary
The disclosure relates to transmitting a sequence of sets of data, from a communication device to an access point of a wireless communication network, through at least one radio communication channel to improve radio communication quality to cope with environmental condition changes and/or location changes of the communication device and/or changes of usage of the communication device in terms of mobility. For each set of data, a value of at least one parameter to be used by the communication device for transmission is determined by selecting, in a list of predetermined values of parameters, a corresponding value. The number of occurrences of each predetermined value is determined according to a probability that the selection leads to a transmission of data with at least one quality criteria fulfilling at least one predefined condition. Each set of data is then transmitted according to the value of said at least one parameter.