Grouped Receiver Gain Control for Backscatter Near-Far Decoding
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Solution Overview
Problem
5G networks face challenges in efficiently supporting passive IoT devices, such as RFID tags, due to the near-far problem where backscattered signals from devices at different distances arrive at the network device with varying power levels, leading to decoding issues due to suboptimal gain control.
Innovation Solution
Implementing a network device with multiple receive chains grouped into clusters, each with adjustable gain control modules based on device distance and signal power levels, allowing for optimal gain states to process backscattered signals effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single gain control setting is used for all receive antennas, then device complexity is reduced, but decoding reliability deteriorates due to the near-far problem where backscattered signals from devices at different distances arrive with varying power levels
Solution Approach 1:
The receive antennas are divided into multiple groups, with each group having its own gain control module. This segmentation allows independent gain adjustment for each group, enabling the system to handle signals from devices at different distances more effectively while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The gain control modules are made dynamic by allowing different gain states to be applied to different antenna groups based on the detected power levels of backscattered signals. This dynamic adjustment enables the system to adapt to varying signal conditions in real-time, improving decoding reliability without requiring a completely complex centralized control structure.
2Reliability
If gain control modules are added to each receive antenna group to solve the near-far problem, then decoding reliability improves, but device complexity increases
Solution Approach 1:
The gain control modules are designed with universal functionality that can be applied across multiple antenna groups. Each module can operate in different gain states and can handle various signal power levels, making them multi-functional components that improve reliability without requiring entirely separate complex control mechanisms for each antenna.
Solution Approach 2:
The system manages complexity by changing the gain parameter of control modules based on detected signal power levels. Instead of adding complex hardware, the solution adjusts the gain parameter dynamically - using higher gain states for weak signals from distant devices and lower gain states for strong signals from nearby devices, thereby improving reliability through parameter optimization rather than structural complexity.
Data Source
AI summary
Systems and techniques are described for wireless communications. For example, a network device can receive, via receive antennas, signals transmitted from one or more devices. Each receive antenna is within one group of two or more groups. The network device can adjust, using gain control modules, a power level of each signal to produce power adjusted signals. The gain control modules are within one group of the two or more groups. At least a portion of the gain control modules is associated with different gain states. The gain states are based on at least one of distances of the one or more devices from the network device or power levels of the signals transmitted from the one or more devices. The network device can process the power adjusted signals.