Difference between BLER for Radio Link Management and BLER in Data throughput?

BLER, or Block Error Rate, is a metric used in telecommunications to quantify the number of error blocks in a communication system. It is commonly used in the context of both Radio Link Management (RLM) and Data Throughput, but its interpretation can vary based on the specific application.

1. BLER in Radio Link Management (RLM):In the context of RLM, BLER is a measure of the reliability of the radio link between a transmitter and a receiver in a wireless communication system. It typically refers to the percentage of blocks (or frames) that have errors in the received signal. These errors can be a result of factors such as interference, fading, or other impairments in the wireless channel.The Radio Link Management system continuously monitors the quality of the radio link and adjusts various parameters (e.g., transmit power, modulation scheme) to maintain a desired level of performance. If the BLER exceeds a certain threshold, it may trigger actions to improve the link quality, such as requesting retransmissions or changing the modulation scheme.
2. BLER in Data Throughput:In the context of data throughput, BLER is related to the quality of the received data and its impact on the overall throughput of the system. It measures the ratio of erroneous bits to the total number of bits received. High BLER indicates a higher likelihood of errors in the received data.In a data communication system, the receiver often employs error correction techniques to detect and correct errors introduced during transmission. When BLER is high, it may result in the retransmission of data or the use of more robust error correction codes, both of which can affect the overall data throughput.

The fundamental concept of BLER remains the same in both Radio Link Management and Data Throughput, its specific interpretation and implications can vary. In RLM, BLER are used as feedback for link adaptation, while in data throughput, it serves as an indicator of the quality of the received data and can influence the efficiency of the overall data communication system.