5G RSRP RSRQ SINR Conversion Mapping

In this article, we will have a look at 5G RSRP RSRQ SINR Conversion Mapping.

The UE reports RSRP and RSRQ in the measurement reports but these values are not in dBm and need to be converted. Similarly, in some report, the UE also adds SS-SINR and that also needs conversion. There are tables defined in 3GPP but this session provides quick calculation and conversion mechanisms for RSRP, RSRQ and SINR.

References: 3GPP 38213, 38214, 38215, 38133

5G RSRP RSRQ SINR Conversion Mapping

RSRP

5G RSRP stands for “Reference Signal Received Power.” RSRP is a measurement of the power level of the reference signals transmitted by the base station (or cell tower) in a 5G network, as received by the user equipment (UE) or device.

RSRP is typically measured in decibels (dBm) and represents the received power of the reference signals from the serving cell. It provides an indication of the signal strength or power level of the primary serving cell in the network, excluding any interference or noise.

A higher RSRP value indicates a stronger received signal, which generally corresponds to better signal quality and higher data rates. Conversely, a lower RSRP value suggests a weaker received signal, which may result in reduced signal quality and potentially lower data rates or dropped connections.

RSRP is an essential parameter used for cell selection, handover decisions, and network optimization in 5G networks. It helps network operators and devices determine the strength of the signal from a specific base station or cell tower.

RSRQ

5G RSRQ stands for “Reference Signal Received Quality.” RSRQ is a metric used in 5G networks to evaluate the quality of the received reference signals in relation to the interference and noise present in the network.

RSRQ is expressed in decibels (dB) and is calculated as the ratio between the received reference signal power and the power of the interference plus noise. It provides information about the signal quality and the level of interference in the network.

A higher RSRQ value indicates a stronger reference signal relative to the interference and noise, which generally corresponds to better signal quality and a more favorable network environment. Conversely, a lower RSRQ value suggests a higher level of interference relative to the reference signal, which may result in reduced signal quality and potentially degraded network performance.

RSRQ is an important parameter used for handover decisions, cell selection, and network optimization in 5G systems. It helps network operators and devices assess the quality of the received signal and make informed decisions regarding network connectivity and performance.Regenerate response

SINR

The Signal-to-Interference-plus-Noise Ratio (SINR) is a measure used to evaluate the quality of a wireless communication link. It represents the ratio of the received signal power to the sum of interference and noise power.

In the context of 5G (fifth-generation) wireless technology, SINR plays a crucial role in determining the achievable data rates and overall performance of a wireless connection. A higher SINR generally indicates a better signal quality and, consequently, improved data transmission rates.

The specific SINR values achievable in a 5G network can vary depending on several factors, such as the signal strength, distance from the base station, surrounding interference, and the network’s configuration. However, in general, a SINR value above a certain threshold is desired for optimal performance.

Different applications and scenarios may have different SINR requirements. For example, in urban areas with a high density of users and interference, a SINR threshold of around 10-15 dB might be considered acceptable for reliable communication. On the other hand, in less crowded or rural areas with less interference, higher SINR values may be attainable.

It’s important to note that SINR is just one of the many factors that affect the performance of a wireless network. Other factors, such as signal strength (received power), modulation scheme, channel conditions, and network congestion, also play a role in determining the achievable data rates and overall user experience.

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Ali Khalid

5G NR | VoLTE | LTE-A | Massive MIMO | NB-IoT | NDO Network Specialist at Ericsson, Australia

Ali Khalid is a Senior LTE/VoLTE RNPO, NB-IoT and 5G Solution Architect who has successfully led and delivered a number of projects in different regions across the globe including Pakistan, Bahrain, UAE, Qatar, Oman, KSA, Nigeria, Turkey, Poland and Japan. He is currently working in Strategic Competence Unit (SCU), a highly experienced global team at Ericsson, Australia. In case of any questions or feedback, please feel free to drop a comment below or connect with him on LinkedIn.

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