LBT Parameter Determination for Autonomous Uplink in 5G Unlicensed Bands
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In autonomous uplink access in 5G communication systems, the lack of information about LBT priority classes hinders proper scheduling and channel preempting, leading to inefficiencies in unlicensed band transmissions.
Innovation Solution
A method for autonomous uplink transmission is introduced, involving the determination of LBT parameters based on obtained LBT information, including energy detection thresholds and Contention Window Sizes, to enable successful signal transmission over unlicensed bands, ensuring fairness between autonomous and scheduled uplink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous uplink access is implemented without LBT priority class information, then uplink transmission can proceed, but fairness and coexistence with other access techniques deteriorates
Solution Approach 1:
The base station performs preliminary actions by determining LBT priority classes for downlink transmissions and proactively notifying UEs of these priority classes before autonomous uplink transmissions occur. This allows UEs to have the necessary information in advance to perform fair LBT operations without requiring complex real-time negotiations or additional signaling during the uplink transmission process.
2Reliability
If LBT parameters are dynamically adjusted for autonomous uplink transmissions, then spectral utilization and coexistence improve, but system complexity increases
Solution Approach 1:
The system implements self-service by having the base station automatically determine LBT priority classes for downlink transmissions and notify UEs of these classes. The UEs then autonomously use this information to determine their own LBT parameters (such as contention window sizes and energy detection thresholds) without requiring complex centralized control or additional negotiation protocols, thereby reducing overall system complexity while achieving dynamic adaptation.
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present disclosure provides a method for monitoring a carrier and transmitting a signal over an unlicensed band.