Method and system for performing random access channel procedure for unlicensed operation
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Embodiments herein disclose a method for performing random access channel procedure by a UE ( 300 ). The method includes determining a first measurement metric value and a second measurement metric value for one of a plurality of SSBs and a plurality of CSI-RSs. The method includes selecting one of a first set of SSBs and a first set of CSI-RSs from one of the plurality of SSBs and the plurality of CSI-RSs based on the first measurement metric. The method selects a second set of SSBs and a second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs based on the second measurement metric and determines a selection criteria and selects one of at least one candidate SSBs and at least one candidate CSI-RS from one of the second set of SSBs and the second set of CSI-RSs based on the selection criteria.
1. A method for performing random access channel procedure by a User Equipment (UE) ( 300 ) for unlicensed operation in a wireless network, the method comprising:
determining, by the UE ( 300 ), a first measurement metric and a second measurement metric for one of a plurality of SSBs (Synchronization Signal Block) and a plurality of CSI-RSs (Channel State Information-Reference Signal), wherein the first measurement metric is a channel congestion;
selecting, by the UE ( 300 ), one of a first set of SSBs and a first set of CSI-RSs from one of the plurality of SSBs and the plurality of CSI-RSs based on the first measurement metric, wherein the first set of SSBs is a subset of the plurality of SSBs, and the first set of CSI-RSs is a subset of the plurality of CSI-RSs;
selecting, by the UE ( 300 ), one of a second set of SSBs and a second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs based on the second measurement metric, wherein the second set of SSBs is a subset of the first set of SSBs, and the second set of CSI-RSs is a subset of the first set of CSI-RSs;
determining, by the UE ( 300 ), selection criteria based on a best value of the first measurement metric; and
selecting, by the UE ( 300 ), one of at least one candidate SSB and at least one candidate CSI-RS from one of the second set of SSBs and the second set of CSI-RSs based on the selection criteria.
2. The method as claimed in claim 1 , wherein selecting, by the UE ( 300 ), one of the first set of SSBs and the first set of CSI-RSs from one of the plurality of SSBs and plurality of CSI-RSs based on the first measurement metric comprises:
comparing a value of the first measurement metric of one of the plurality of SSBs and the plurality of CSI-RSs to a first measurement metric threshold; and
selecting one of the first set of SSBs and the first set of CSI-RSs from one of the plurality of SSBs and plurality of CSI-RSs that meets the first measurement metric threshold based on the comparison.
3. The method as claimed in claim 1 , wherein selecting, by the UE ( 300 ), one of the second set of SSBs and the second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs based on the second measurement metric comprises:
comparing a value of the second measurement metric of one the first set of SSBs and the first set of CSI-RSs to a second measurement metric threshold; and
selecting one of the second set of SSBs and the second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs having second measurement metric greater than the second measurement metric threshold based on the comparison.
4. The method as claimed in claim 1 , wherein the selection criteria is determined based on a random access channel (RACH) occasion, and a best value of the second measurement metric, and
wherein the second measurement metric is a Reference Signal Resource Power (RSRP).
5. The method as claimed in claim 1 , further comprising:
selecting, by the UE, a PRACH preamble and a PRACH occasion based on one of the at least one candidate SSBs and the at least one candidate CSI-RS;
selecting, by the UE, a PRACH resource for PRACH preamble transmission;
configuring, by the UE, the PRACH resource based on the PRACH occasion and the PRACH preamble; and
transmitting, by the UE, the PRACH preamble using the configured PRACH resource.
6. The method as claimed in claim 5 , further comprising:
receiving, by the UE, a Random Access Response (RAR) in response to the PRACH preamble, wherein the RAR comprises a plurality of uplink (UL) grants (UL); and
transmitting, by the UE, uplink transmissions in the UL grants received in RAR based on a channel status,
wherein the UE ( 300 ) performs an uplink transmission if the channel status based on Listen Before Talk (LBT) is free for a corresponding UL grant.
7. The method as claimed in claim 5 , further comprising:
receiving, by the UE ( 300 ), one or more RARs in response to the PRACH preamble, wherein a RAR comprises an uplink grant; and
transmitting, by the UE, an uplink transmission in a UL grant received in one of the RARs based on a channel status.
8. A UE ( 300 ) in a wireless network for performing random access channel procedure for unlicensed operation, the UE ( 300 ) comprising:
a memory ( 310 );
a processor ( 320 ); and
a communicator ( 330 ),
wherein the processor ( 320 ) is configured to:
determine a first measurement metric and a second measurement metric for one of a plurality of SSBs (Synchronization Signal Block) and a plurality of CSI-RSs (Channel State Information-Reference Signal), wherein the first measurement metric is a channel congestion,
select one of a first set of SSBs and a first set of CSI-RSs from one of the plurality of SSBs and the plurality of CSI-RSs based on the first measurement metric, wherein the first set of SSBs is a subset of the plurality of SSBs, and the first set of CSI-RSs is a subset of the plurality of CSI-RSs,
select one of a second set of SSBs and a second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs based on the second measurement metric, wherein the second set of SSBs is a subset of the first set of SSBs, and the second set of CSI-RSs is a subset of the first set of CSI-RSs,
determine selection criteria based on a best value of the first measurement metric, and
select one of at least one candidate SSBs and at least one candidate CSI-RS from one of the second set of SSBs and the second set of CSI-RSs based on the selection criteria.
9. The UE ( 300 ) as claimed in claim 8 , wherein to select one of the first set of SSBs and the first set of CSI-RSs from one of the plurality of SSBs and plurality of CSI-RSs based on the first measurement metric the processor is further configured to:
compare a value of the first measurement metric of one of the plurality of SSBs and the plurality of CSI-RSs to a first measurement metric threshold; and
select one of the first set of SSBs and the first set of CSI-RSs from one of the plurality of SSBs and plurality of CSI-RSs that meets the first measurement metric threshold based on the comparison.
10. The UE ( 300 ) as claimed in claim 8 , wherein to select one of the second set of SSBs and the second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs based on the second measurement metric the processor is further configured to:
compare a value of the second measurement metric of one the first set of SSBs and the first set of CSI-RSs to a second measurement metric threshold; and
select one of the second set of SSBs and the second set of CSI-RSs from one of the first set of SSBs and the first set of CSI-RSs having second measurement metric greater than the second measurement metric threshold based on the comparison.
11. The UE ( 300 ) as claimed in claim 8 , wherein the selection criteria is determined based on a random access channel (RACH) occasion, and a best value of the second measurement metric.
12. The UE ( 300 ) as claimed in claim 8 ,
wherein the second measurement metric is a Reference Signal Resource Power (RSRP).
13. The UE ( 300 ) as claimed in claim 8 , wherein the processor ( 320 ) is further configured to:
select a PRACH preamble and a PRACH occasion based on one of the at least one candidate SSBs and the at least one candidate CSI-RS;
select a PRACH resource for PRACH preamble transmission; and
configure the PRACH resource based on the PRACH occasion and the PRACH preamble; and
transmit the PRACH preamble using the configured PRACH resource.
14. The UE ( 300 ) as claimed in claim 13 , wherein the processor ( 320 ) is further configured to:
receive a Random Access Response (RAR) in response to the PRACH preamble, wherein the RAR comprises a plurality of uplink (UL) grants (UL); and
transmit uplink transmissions in the UL grants received in the RAR based on a channel status,
wherein the UE ( 300 ) performs an uplink transmission if the channel status based on Listen Before Talk (LBT) is free for a corresponding UL grant.
15. The UE ( 300 ) as claimed in claim 13 , wherein the processor ( 320 ) is further configured to:
receive one or more RARs in response to the PRACH preamble, wherein a RAR comprises an uplink (UL) grant; and
transmit an uplink transmission in a UL grant received in one of the RARs based on a channel status, and
wherein the UE ( 300 ) performs the uplink transmission if the channel status based on Listen Before Talk (LBT) is free for the UL grant.