Adaptive Uplink Antenna Switching for Throughput Optimization
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Solution Overview
Problem
Conventional uplink switched antenna transmit diversity algorithms fail to optimize cell throughput due to frequent noise rise peaks caused by large gain differences between antennas, leading to suboptimal data rates and reduced scheduling headroom.
Innovation Solution
Adaptive uplink antenna switching is implemented by modifying switching parameters based on the history of successful and unsuccessful antenna switches to minimize noise rise peaks while ensuring frequent use of the best antenna, using an antenna switching module and analysis module to determine switch success and adjust parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional uplink switched antenna transmit diversity algorithms are used, then transmission power can be decreased efficiently, but cell throughput is not optimized and data rate does not reach maximum level
Solution Approach 1:
The patent implements dynamic antenna switching by continuously monitoring channel conditions and adaptively selecting the optimal antenna for transmission. The system transitions from static antenna selection to dynamic switching based on real-time channel state information, allowing the UE to exploit temporal variations in channel conditions and maximize both power efficiency and throughput.
Solution Approach 2:
The patent employs feedback mechanisms where the network entity provides indicators to the UE about which antenna should be used for transmission. This feedback loop enables the system to learn from past transmission outcomes and adjust antenna selection decisions, optimizing both power consumption and data rate by selecting antennas with better channel conditions.
2Productivity
If antenna switching is performed frequently to ensure best antenna usage, then data rate increases, but noise rise peaks occur frequently reducing scheduling headroom
Solution Approach 1:
The patent applies partial switching by not switching antennas at every opportunity, but only when channel conditions indicate a significant improvement is possible. The system performs antenna switching selectively based on threshold criteria, avoiding unnecessary switches that would cause noise rise peaks while still capturing most of the potential throughput gains from using the optimal antenna.
Solution Approach 2:
The patent changes the switching threshold parameter dynamically based on channel conditions and system state. By adjusting the threshold for triggering antenna switches, the system balances between switching frequently enough to capture channel improvements and switching conservatively enough to avoid excessive noise rise peaks, thereby optimizing both data rate and scheduling headroom.
Data Source
AI summary
A first wireless communication device is in communication with a second wireless communication device over an uplink communication link from the first wireless communication device to the second wireless communication device. Adaptive uplink antenna switching is performed at the first wireless communication device by switching between at least two antennas at the first wireless communication device in accordance with at least one antenna switching parameter to support the uplink communication link, determining whether each antenna switch is successful or unsuccessful and accumulating a history of successful and unsuccessful antenna switches. The at least one antenna switching parameter is modified based on the accumulated history of successful and unsuccessful antenna switches.


