Shared-Cell LAA Scheduling With Independent R/T-Point CCA
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Solution Overview
Problem
In shared cell deployments of heterogeneous networks, the location of User Equipment (UE) cannot be resolved to a particular Reception/Transmission (R/T) point, leading to increased probability of eNB LAA transmission collisions with WiFi transmissions due to simultaneous Clear Channel Assessments (CCAs) across multiple R/T points, reducing the probability of successful CCA.
Innovation Solution
Implementing independent Clear Channel Assessments (CCAs) at each R/T point, followed by advanced scheduling based on forecasted probabilities of successful reception, considering the ON/OFF statuses of R/T points to minimize collisions and optimize downlink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple R/T points perform simultaneous Clear Channel Assessments (CCAs) in shared cell deployments, then the coverage area is extended, but the probability of transmission collisions with WiFi increases
Solution Approach 1:
The patent divides the shared cell's coverage area into multiple smaller collision domains, each associated with a specific R/T point. Instead of all R/T points sharing a single common collision domain, each R/T point performs CCA independently in its own segmented domain. This segmentation reduces the probability of simultaneous collisions between LAA transmissions from multiple R/T points and WiFi transmissions, while maintaining extended coverage through coordinated multi-point transmission.
2Reliability
If independent CCAs are performed at each R/T point, then the probability of successful CCA is improved by reducing collision domain, but the complexity of scheduling increases
Solution Approach 1:
The patent implements advanced scheduling that performs preliminary forecasting of successful reception probabilities for multiple upcoming Transmit Time Intervals (TTIs) based on current CCA decisions. By predicting future transmission outcomes in advance and preparing scheduling decisions beforehand, the system reduces the computational complexity of real-time scheduling while maintaining high CCA success rates. The scheduler forecasts which R/T points are likely to succeed in their CCAs and pre-determines optimal resource allocations for upcoming transmissions.
3Productivity
If advanced scheduling based on forecasted probabilities is implemented, then transmission efficiency is improved, but the processing requirements increase
Solution Approach 1:
The patent implements advanced scheduling that forecasts successful reception probabilities for a limited number of upcoming TTIs (e.g., 2-5 future intervals) rather than attempting to optimize all possible future transmissions. This partial action approach captures the most significant efficiency gains from predictive scheduling while limiting the computational burden to a manageable scope. The system performs probabilistic forecasting and scheduling optimization only for the near-future window where predictions remain reliable, rather than exhaustively processing all possible future scenarios.
Data Source
AI summary
Systems and methods are disclosed relating to implementing a shared cell configuration in a heterogeneous deployment of, e.g., a License Assisted Access (LAA) network. In some embodiments, a method of operation of a processing system to schedule downlink transmissions to wireless devices in a shared cell in an unlicensed frequency spectrum, the shared cell being served by multiple Reception/Transmission (R/T) points, comprises receiving independent Clear Channel Assessment (CCA) decisions from the R/T points serving the shared cell, each CCA decision from each R/T point being indicative of whether a CCA succeeded or failed at the R/T point. The method further comprises performing scheduling for one or more upcoming Transmit Time Intervals (TTIs) based on the CCA decisions received from the R/T points serving the shared cell.


