BB-RF Interface Compression to Reduce Active Time and Power
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Solution Overview
Problem
The high power consumption of BB-RF interfaces in wireless communication systems, particularly in mobile devices, due to constant operation at peak throughput rates regardless of the number of bits being transmitted, is a significant issue.
Innovation Solution
Implementing techniques to remove excess bits based on signal-to-noise ratio (SNR) and applying data compression methods, including frequency rotation and coding schemes, to reduce the average throughput and power consumption of the BB-RF interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the BB-RF interface operates at peak throughput rates continuously, then data transmission speed is maximized, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts the operating throughput rate of the BB-RF interface based on the actual number of bits that need to be transmitted. Instead of operating continuously at peak throughput, the interface adapts its speed to match the data transmission requirements, thereby reducing power consumption when full throughput is not needed while maintaining high speed capability when necessary.
Solution Approach 2:
The system changes the throughput parameter of the BB-RF interface according to the number of bits being transmitted. By modifying this key parameter dynamically, the system optimizes the balance between transmission speed and power consumption, allowing the interface to operate at lower speeds when fewer bits need to be transmitted, thus reducing overall power usage.
2Use of energy by moving object
If the number of bits transmitted is reduced, then power consumption decreases, but data transmission quality may be degraded
Solution Approach 1:
The system uses feedback from the channel quality indicator (CQI) to determine the appropriate number of bits to transmit. The CQI provides information about the current channel conditions, allowing the system to adjust the transmission parameters accordingly. This feedback mechanism ensures that data transmission quality is maintained while optimizing power consumption by transmitting only the necessary number of bits.
Solution Approach 2:
The system transmits only the necessary number of bits required for reliable communication, avoiding unnecessary transmission of excess bits. By using channel quality information to determine the exact number of bits needed, the system achieves partial action that is sufficient for reliable transmission without the waste of transmitting all possible bits, thus reducing power consumption while maintaining quality.
3Productivity
If excess bits are removed from resource blocks, then data compression is improved, but information loss may occur
Solution Approach 1:
The system uses channel quality indicator feedback to determine how many bits can be safely removed from resource blocks without causing information loss. The CQI information allows the system to identify the minimum number of bits required for reliable transmission, enabling aggressive compression when the channel is good while preventing information loss when the channel conditions require more bits.
Solution Approach 2:
The system dynamically changes the number of bits retained in resource blocks based on channel conditions. By adjusting this parameter according to the CQI, the system optimizes the balance between compression efficiency and information preservation, removing excess bits when safe to do so while maintaining necessary information when channel conditions demand it.
Data Source
AI summary
Introduced here are techniques for reducing the average throughout of a baseband (BB)-radio frequency (RF) interface. The techniques include removing excess bits from a received signal based on the signal to noise ratio (SNR), rotating the reduced signal to direct current frequency, and applying a coding scheme to further compress the signal. After compression, the signal can be transmitted from one chip to another. The receiving chip can retrieve the signal by rotating the signal to its original frequency and retrieving the removed bits based uplink gain information. By doing so, the number of bits being transmitted is reduced and thus, the average throughput of the BB-RF interface is also reduced.