Shared Uplink Resource Sensing for Reliable 5G/NR Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for wireless data traffic in 5G/NR communication systems necessitates improved radio interface efficiency and coverage, particularly in higher frequency bands, where propagation loss and transmission distance are significant challenges.
Innovation Solution
Implementing beamforming, massive MIMO, and advanced network architectures in 5G/NR systems, along with methods for efficient transmission and reception in shared resources using configuration information and sensing indicators to optimize resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple UEs are allocated the same uplink resource without sensing, then resource allocation is simple and efficient, but transmission collisions occur between UEs
Solution Approach 1:
The patent applies preliminary action by having UEs perform sensing before transmission in the shared uplink resource. The network configures sensing indicators that tell UEs when to sense and when to transmit, ensuring that UEs check channel availability before sending data, thereby preventing collisions while maintaining efficient resource usage.
Solution Approach 2:
The patent implements feedback through the network configuring sensing indicators to UEs based on detected traffic patterns. The network monitors which UEs have data to send and dynamically adjusts sensing requirements, creating a feedback loop that optimizes both reliability and efficiency in the shared resource allocation.
2Reliability
If UEs perform sensing before transmission, then transmission collisions are avoided, but transmission latency increases due to sensing time
Solution Approach 1:
The patent applies partial action by implementing sensing only when necessary - specifically when the network detects that multiple UEs have data to transmit in the same time slot. When only one UE has data, sensing is skipped entirely. This selective sensing approach reduces unnecessary latency while maintaining collision avoidance where needed.
Solution Approach 2:
The patent implements dynamics by making the sensing requirement adaptive rather than fixed. The network dynamically adjusts whether sensing is required based on real-time traffic detection, configuring sensing indicators only when multiple UEs are detected as having data to send, thereby optimizing the balance between reliability and latency.
3Productivity
If the network configures sensing indicators dynamically based on traffic detection, then resource allocation optimality is improved, but network complexity increases
Solution Approach 1:
The patent applies self-service by having the network autonomously detect traffic patterns and configure sensing indicators without requiring complex external control systems. The network's traffic detection mechanism automatically identifies which UEs need sensing based on their data availability, enabling optimal resource allocation through a relatively simple self-managed process.
Data Source
AI summary
Apparatuses and methods for transmission or reception in a shared resource. A method of operating a user equipment (UE) includes receiving configuration information of a resource for an uplink (UL) transmission and receiving an indicator associated with the resource. The indicator indicates a level of sensing for the resource. The method further includes determining a presence of data for transmission on the resource, performing sensing based on the level of sensing to determine availability of the resource, and when the resource is determined to be available, transmitting the data in the resource starting after a gap of M symbols from an end time of sensing, where M is a non-negative integer.