Autonomous Transmission Parameter Adaptation for Wireless Nodes
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Solution Overview
Problem
Wireless communication networks face challenges in maintaining optimal transmission parameters due to interference, increased path loss, and power management issues, leading to suboptimal or failed transmissions, especially in scenarios like carrier aggregation and duplex operations.
Innovation Solution
Network nodes are equipped with autonomous intelligence to modify transmission parameters such as modulation and coding schemes (MCS) and resource allocation, allowing them to adjust power and resource usage dynamically based on real-time conditions to ensure successful communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmission power is increased to overcome path loss and interference, then communication reliability is improved, but power consumption and interference to other transmissions increase
Solution Approach 1:
The patent implements dynamic adjustment of transmission parameters including power level, modulation and coding scheme (MCS), and resource allocation. The network node autonomously modifies these parameters in real-time based on channel conditions, transforming the static transmission approach into a dynamic adaptive system that optimizes power consumption while maintaining communication reliability
Solution Approach 2:
The patent changes transmission parameters such as power level, MCS index, and resource block allocation to adapt to varying channel conditions. By modifying these parameters dynamically, the system achieves reliable communication at optimized power levels rather than consistently using maximum power
2Device complexity
If transmission parameters are kept fixed according to scheduled allocations, then network coordination is simplified, but communication performance deteriorates under changing channel conditions
Solution Approach 1:
The network node is equipped with autonomous intelligence to self-adjust transmission parameters without requiring complex centralized coordination. The node independently monitors channel conditions and modifies its own transmission settings, eliminating the need for frequent scheduling updates from the network controller and simplifying overall network coordination while maintaining high communication performance
3Productivity
If autonomous modification of transmission parameters is implemented, then communication efficiency is improved, but device complexity increases
Solution Approach 1:
The autonomous parameter modification is driven by feedback from channel quality measurements. The network node monitors received signal quality and uses this feedback to automatically adjust transmission parameters, achieving high communication efficiency through a relatively simple feedback-based control mechanism rather than complex algorithms
Data Source
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AI summary
A network node of a communication network may determine that a target transmission power for a subsequent transmission by the network node is no longer optimal. In response to the determination, the network node may autonomously modify one or more parameters of the subsequent transmission, from a modulation and coding scheme (MCS) and/or a set resources for the subsequent transmission. The network node may then transmit a channel, based at least in part on the one or more modified parameters, to a target network node in the subsequent transmission. The target network node may determine that the network node has autonomously modified the one or more parameters of the transmission, from the modulation and coding scheme (MCS) and/or the set resources for the transmission. The target network node may process the transmission based on the determination.