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Lower bias values resulted in better erosion performance.
Since the optimal bias values vary from one UE to another [4], bias values should be defined by each UE.
Depending on this ratio of RB, the appropriate bias values also change, and this is also one reason for the difficulty to set optimal bias values.
For the bias values, the agreement is within 10 15 nm/s2 (Table 3).
From these aforementioned reasons, optimal bias values are obtained only by using trial-and-error methods.
Back propagation Bayesian algorithm updates the weight and bias values according to Levenberg Marquardt optimization.
In terms of different CRE bias values, UEs are divided into three types.
We consider higher bias values for picocells due to their low transmit power.
To solve this, we use priori data of the common bias values to converge faster.
This means if UEs define their own bias values, we can get fewer outage UEs.
Due to their size and cost limitations, generally, two axes gyroscopes with high bias values are used on such systems.
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