Dynamic Voice Coding Rate Selection via Air Interface Efficiency
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Solution Overview
Problem
Existing cellular wireless networks face challenges in balancing voice quality and air interface resource usage, as higher voice coding rates provide better quality but consume more resources, and fixed rates may not optimize for varying network conditions.
Innovation Solution
A method where the voice coding rate for a voice call is dynamically selected based on the air interface efficiency of the base station, considering factors like beamforming capability, MU-MIMO capability, and antenna configuration, allowing the rate to adapt during the call or with changes in base station conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher voice coding rates are used, then voice quality is improved, but air interface resource consumption increases
Solution Approach 1:
The patent implements dynamic voice coding rate selection that adapts to changing network conditions. The system monitors air interface efficiency metrics (beamforming capability, MU-MIMO capability, antenna configuration) and adjusts the voice coding rate in real-time, transitioning between fixed and dynamic rate modes to optimize the balance between voice quality and resource consumption.
Solution Approach 2:
The patent changes the voice coding rate parameter based on air interface efficiency conditions. When efficiency is high, higher coding rates (e.g., 12.2 kbps, 23.85 kbps) are selected for better quality. When efficiency is low, lower coding rates (e.g., 4.75 kbps, 6.60 kbps) are selected to conserve resources, directly modifying the parameter to resolve the contradiction.
2Device complexity
If fixed voice coding rates are used, then resource management is simplified, but adaptability to varying network conditions deteriorates
Solution Approach 1:
The system transitions from static fixed-rate operation to dynamic rate adaptation. The base station evaluates air interface efficiency parameters and dynamically selects appropriate voice coding rates, enabling the system to adapt to varying network conditions while maintaining manageable complexity through standardized evaluation criteria.
Solution Approach 2:
The patent implements a feedback mechanism where the base station continuously monitors air interface efficiency metrics (beamforming capability, MU-MIMO capability, antenna configuration) and uses this feedback to adjust voice coding rate selections. This closed-loop approach enables adaptability while keeping resource management systematic and controllable.
Data Source
AI summary
A voice coding rate is selected for a voice call involving a user equipment (UE) device based on an air interface efficiency of the base station serving the UE device. The air interface efficiency of the base station is determined based on at least one of (i) a beamforming capability of the base station, (ii) a multi-user multiple-input multiple-output (MU-MIMO) capability of the base station, or (iii) an antenna configuration of the base station. The voice coding rate could be selected by either the UE device or by the base station. The UE device transmits to the base station during the voice call one or more voice frames that convey voice data coded at the selected voice coding rate. During the voice call, a new air interface efficiency may be determined, and a new voice coding rate may be selected based on the new air interface efficiency.