Adaptive Quantization for Random Access Collision Reduction
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Solution Overview
Problem
Mobile communication systems face challenges with high collision probability in random access mechanisms due to limited data bits and potential collisions, especially when channel state metrics are not adaptively quantized, leading to inefficient data transmission.
Innovation Solution
A method and apparatus for adapting the quantization parameter based on system characteristics and channel state metrics to adjust quantization ranges, reducing collision probability by ensuring a more uniform distribution of data values across different resource slots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed quantisation algorithm is used for quantising channel state metric data bits, then the quantisation process is simple and deterministic, but the collision probability increases when a significant proportion of mobile terminals measure substantially-similar values
Solution Approach 1:
The patent applies dynamics by making the quantisation algorithm adaptive rather than fixed. The base station derives quantisation parameters based on the measured distribution of channel state metric values from multiple mobile terminals, and these parameters are then used to guide the quantisation process. This dynamic adaptation allows the system to adjust quantisation ranges according to actual measurement distributions, thereby reducing collision probability when terminals measure similar values while maintaining reasonable complexity through automated parameter derivation.
2Reliability
If more data bits are transmitted in the random access preamble to reduce collision probability, then the collision probability decreases, but the limited number of available signature sequences constrains the number of usable data bits
Solution Approach 1:
The patent applies parameter changes by modifying the quantisation parameters (such as quantisation ranges and thresholds) based on the derived distribution characteristics of channel state metric values. Instead of using a fixed number of data bits with fixed quantisation, the system dynamically adjusts quantisation parameters to optimize the distribution of transmitted data values. This allows more effective utilization of the limited data bits available in the random access preamble, reducing collision probability through smarter parameter selection rather than simply increasing the number of bits.
Data Source
AI summary
A radio communication station in a radio communication system having a plurality of radio communication devices, derives a quantization parameter from control indications received from respective radio communication devices and transmits the quantization parameter to the radio communication devices on at least one downlink channel. The radio communication devices receive the quantization parameter, determine respective channel state metrics for the downlink channel, respectively quantize the determined respective channel state metrics by applying quantization ranges indicated by the quantization parameter, determine respective control indications indicative of the respective quantized channel state metrics, and transmit to the radio communication station respective signals indicating the determined respective control indications as respective random access transmissions on an uplink channel.