Self-Adapting Autonomous Transmission Configuration for Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication systems face inefficiencies in configuring autonomous transmissions due to imperfect channel knowledge, leading to conservative or aggressive configurations that increase signaling overhead and latency, particularly in systems like 4G and 5G networks.
Innovation Solution
Implementing a self-adapting autonomous transmission configuration method that allows user equipment (UE) and base stations to adjust modulation and coding schemes (MCS) or resources based on detected triggers, such as retransmissions or channel measurements, without additional signaling, using medium access control (MAC) control elements and downlink control information (DCI) messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the base station transmits scheduling information each time periodic traffic is identified, then the transmission configuration is accurate and reliable, but the signaling overhead increases and latency increases
Solution Approach 1:
The base station performs preliminary channel measurements and determines the autonomous transmission configuration (including MCS and resources) in advance, before actual data transmission occurs. This pre-configured information is then provided to the UE, allowing the UE to autonomously transmit without requiring real-time scheduling information, thus reducing latency while maintaining configuration accuracy.
Solution Approach 2:
The UE is empowered to autonomously determine and execute transmission parameters (MCS, resources) based on pre-configured information from the base station, without needing continuous scheduling instructions. This self-service mechanism eliminates the need for repeated signaling exchanges, reducing both overhead and latency while maintaining reliable transmission through the base station's preliminary configuration.
2Reliability
If the base station updates the autonomous transmission configuration via additional downlink control channel, then the configuration accuracy improves, but the signaling overhead counteracts the reduction from autonomous configuration
Solution Approach 1:
The base station utilizes feedback mechanisms (such as buffer status reports, channel quality indicators, and acknowledgment signals from the UE) to monitor transmission status and channel conditions. Based on this feedback, the base station dynamically adjusts and updates the autonomous transmission configuration (MCS, resources) to maintain optimal accuracy without requiring excessive downlink control channel transmissions, thus balancing reliability with reduced signaling overhead.
3Reliability
If the base station uses conservative autonomous transmission configuration, then transmission reliability is maintained, but resource utilization efficiency decreases
Solution Approach 1:
The autonomous transmission configuration (MCS and resource allocation) is designed to be dynamic rather than static. The base station initially provides a conservative configuration to ensure reliability, but then uses feedback mechanisms to monitor actual transmission performance and channel conditions, continuously adjusting the configuration to optimize resource utilization while maintaining reliability. This dynamic adaptation allows the system to transition from conservative to more aggressive resource usage as confidence in channel conditions increases.
4Productivity
If the base station uses aggressive autonomous transmission configuration, then resource utilization efficiency improves, but transmission reliability decreases
Solution Approach 1:
The base station incorporates margin and cushioning into the autonomous transmission configuration to account for potential channel degradation or interference. Rather than using maximally aggressive configurations that risk failure, the base station pre-calculates configurations with built-in safety margins based on historical channel data and current conditions, allowing aggressive resource utilization while maintaining reliability through proactive risk mitigation.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. Autonomous transmissions between a user equipment (UE) and a base station may be configured that include at least one of a modulation and coding scheme (MCS) or resources for the transmissions. In some cases, a trigger may be detected that changes the MCS or resources to be used for the autonomous transmissions. The trigger may include the presence or absence of retransmissions or the value of a channel measurement falling below or exceeding a threshold value. Accordingly, the base station and UE may adjust the MCS or resources to be used for the autonomous transmissions based on detecting the trigger and then communicate using the adjusted MCS or resources. In some cases, the configuration for the autonomous transmissions may be signaled via a medium access control (MAC) control element (CE).