UE Receiver Switching Using Training Sequence Correlation
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Solution Overview
Problem
Conventional communication systems lack explicit signaling for UE to differentiate between VAMOS and non-VAMOS receivers, leading to performance issues during discontinuous transmission and sub-channel power imbalance, requiring seamless switching between receivers.
Innovation Solution
A method in a UE that determines a switch metric based on correlation metrics of a training sequence and compares it with a threshold to select between a VAMOS receiver and a non-VAMOS receiver, improving receiver performance by correlating signals with ideal training sequences for both modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the base station pairs and un-pairs UEs from VAMOS without signaling, then spectrum utilization is improved, but receiver performance deteriorates due to inability to seamlessly switch between GMSK and VAMOS receivers
Solution Approach 1:
The patent introduces explicit signaling feedback mechanisms where the base station signals VAMOS pairing status to the UE. The UE uses correlation metrics of training sequences to detect and report signal type information back to the base station, enabling closed-loop adaptation and seamless receiver switching between GMSK and VAMOS modes.
Solution Approach 2:
The patent performs preliminary actions by pre-configuring the UE with both GMSK and VAMOS receiver capabilities and pre-establishing correlation metric thresholds. When signaling changes occur, the UE is already prepared to switch receivers immediately based on the signaled information and pre-computed correlation metrics.
2Duration of action of stationary object
If the base station falls back to GMSK modulation during DTX period without signaling, then transmission continuity is maintained, but receiver performance decreases due to incorrect receiver selection
Solution Approach 1:
During DTX periods, the patent uses feedback correlation metrics to detect the actual modulation type used by the base station. The UE compares correlation metrics against thresholds to determine whether the signal is GMSK or VAMOS, ensuring the correct receiver is selected even when the base station falls back to GMSK without explicit signaling.
Solution Approach 2:
The patent enables the UE to self-determine the appropriate receiver mode by computing correlation metrics between received training sequences and stored reference signals. The UE autonomously selects between GMSK and VAMOS receivers based on correlation threshold comparisons, without requiring explicit base station control for each modulation switch.
3Ease of operation
If the UE uses SCPIR to identify modulation type, then receiver selection is simplified, but the SCPIR is not signaled in DL signal causing switching issues
Solution Approach 1:
The patent introduces correlation metrics of training sequences as an intermediary mechanism between the base station's modulation choice and the UE's receiver selection. Instead of relying on the unsignaled SCPIR, the UE computes correlation metrics between received training sequences and stored references, using these metrics as an intermediary to accurately determine the modulation type and select the appropriate receiver.
Data Source
AI summary
An apparatus and a method are provided for selecting a receiver in a user equipment (UE). The method includes receiving, at the UE, a signal; determining, at the UE, a switch metric based on correlation metrics of a training sequence of the signal; comparing, at the UE, the switch metric with a threshold; and selecting, at the UE, one of a voice services over adaptive multi-user channels on one slot (VAMOS) receiver and a non-VAMOS receiver based on the comparing result.