Antenna Multiplexer for Dynamic Radio Subsystem Allocation
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Solution Overview
Problem
Existing wireless transceivers with multiple radio subsystems and antennas face inefficiencies due to static antenna allocation, which limits dynamic adaptation to changing channel conditions and performance requirements.
Innovation Solution
A method and system that dynamically allocate antennas among radio subsystems using an antenna multiplexer and optimization algorithms to maximize throughput and adapt to channel conditions, interference, and performance objectives, including spatial stream management and transmission parameter optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If antennas are statically allocated to radio subsystems, then device complexity is reduced and ease of operation is improved, but adaptability to changing channel conditions and performance requirements deteriorates
Solution Approach 1:
The patent implements dynamic antenna allocation where the antenna multiplexer continuously monitors channel conditions, interference levels, and performance metrics, then reconfigures antenna assignments in real-time to optimize system performance. This transforms the static antenna allocation into a dynamic system that adapts to changing environmental conditions and traffic requirements.
Solution Approach 2:
The system incorporates feedback mechanisms where performance metrics from multiple radio subsystems are continuously measured and fed back to the antenna multiplexer. Based on this feedback, the multiplexer adjusts antenna assignments to maximize overall system throughput and meet quality of service requirements, creating a closed-loop control system.
2Productivity
If more antennas are allocated to a radio subsystem, then data rate and link robustness are improved, but use of energy increases
Solution Approach 1:
The antenna multiplexer implements partial action by allocating only the necessary number of antennas to each radio subsystem based on current performance requirements and channel conditions. Instead of continuously allocating maximum antennas, the system dynamically adjusts the number of active antennas, using more antennas only when performance thresholds are not met, and fewer antennas when requirements are satisfied, thereby optimizing energy efficiency.
Solution Approach 2:
The system changes the operational parameters of the radio subsystems by dynamically adjusting the number of spatial streams and antenna assignments based on throughput measurements and performance criteria. This allows the system to operate at optimal energy efficiency points by adapting antenna usage to actual traffic demands and channel quality.
3Productivity
If dynamic antenna allocation is implemented, then adaptability and system performance are improved, but device complexity and switching control complexity increase
Solution Approach 1:
The antenna multiplexer divides the system into manageable segments by separately evaluating performance metrics for each radio subsystem and applying assignment rules in a structured sequence. The patent segments the decision-making process into distinct evaluation stages: measuring performance metrics, comparing against thresholds, determining antenna needs, and executing assignments, which simplifies the overall control complexity.
Solution Approach 2:
The system implements self-service mechanisms where each radio subsystem independently reports its performance metrics and antenna requirements to the multiplexer. The multiplexer then autonomously makes allocation decisions based on predefined rules and current system state, reducing the need for complex centralized control algorithms and manual intervention.
Data Source
AI summary
This specification describes, in part, a technique for dynamic assignment of multiple antennas to different radio subsystems in a wireless device. The technique may include using an adaptive algorithm to allocate antennas to different radio subsystems as a function of, for example, application requirements, power requirements, and/or channel/network conditions. The specification also describes, in part, a technique for adaptively optimizing the use of the assigned antennas and other transmission parameters for each radio subsystem.