Cell Grouping With Multiple TAGs for Uplink Time Alignment
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing multiple timing advance groups, particularly in multicarrier communication systems, leading to inefficiencies in uplink synchronization and resource allocation.
Innovation Solution
The implementation of multiple timing advance groups (TAGs) allows for grouping serving cells with the same time alignment, enabling synchronized uplink transmission timing and dynamic configuration of TAGs based on network conditions and UE capabilities, using RRC signaling for management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple timing advance groups are implemented to improve uplink synchronization, then uplink synchronization is enhanced, but device complexity increases
Solution Approach 1:
The patent segments the timing advance management into multiple independent groups (TAGs), where each group can be configured and managed separately. This allows the system to handle multiple cells with different timing characteristics without requiring a complete redesign of the timing advance mechanism, thus improving synchronization reliability while controlling complexity through modular organization.
Solution Approach 2:
The timing advance group structure is designed to be universal and configurable, allowing the same TAG framework to serve multiple cells and multiple UEs with different timing requirements. The configurable nature of TAGs enables the system to adapt to various network configurations and UE capabilities, improving reliability without proportionally increasing complexity.
2Productivity
If multiple timing advance groups are configured dynamically based on network conditions, then resource allocation efficiency is improved, but signaling overhead increases
Solution Approach 1:
The patent implements dynamic TAG configuration where TAG assignments can be adjusted based on network conditions, UE capabilities, and traffic requirements. This dynamic approach allows the system to optimize resource allocation efficiency by creating or modifying TAGs only when necessary, rather than maintaining fixed configurations, thereby reducing unnecessary signaling overhead while improving productivity.
Solution Approach 2:
The system changes configuration parameters (such as TAG assignments and timing advance values) based on measured network conditions and UE feedback. By adjusting these parameters dynamically rather than through complete reconfiguration messages, the system improves resource allocation efficiency while minimizing signaling overhead through parameter-based updates.
Data Source
AI summary
Wireless communications may use a plurality of cell groups. A wireless device may not perform uplink transmission of channel state information and/or of hybrid automatic repeat request feedback via a second cell group while a time alignment timer associated with a first cell group is not running.