Methods and apparatus for combining received uplink transmissions
Methods and apparatus for combining received uplink transmissions. In an embodiment, a method is provided that includes receiving a descrambled resource element associated with selected second channel state information (CSI2) and receiving a descrambling sequence used to generate the descrambled RE. The method also includes rescrambling the descrambled RE using the descrambling sequence to generate a rescrambled RE and modifying the descrambling sequence to generate a modified descrambling sequence. The method also includes descrambling the rescrambled RE with the modified descrambling sequence to generate a modified descrambled RE and accumulating the modified descrambled RE to form a combined CSI2 value.
1. A method for processing wireless data via a communication network, comprising:
receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network;
calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block;
detecting a second type of 5G Physical Uplink Control Channel (PUCCH) Format in accordance with resource elements (REs) of each symbol and the configuration parameters; and
activating a despreader to combine repeated REs in symbols in accordance with spreading sequence index and type indicated by the configuration parameters.
2. The method of claim 1 , further comprising categorizing resource elements (REs) by an RE identifier to generate RE information including categorizations of REs.
3. The method of claim 2 , further comprising forwarding the categorizations of REs from the RE identifier to a soft demapper to generate soft-demapped REs in accordance with the categorizations of REs.
4. The method of claim 3 , further comprising generating descrambled REs based on the soft-demapped REs and the categorizations of RE.
5. The method of claim 4 , further comprising determining uplink control information (UCI) value in accordance with the RE information and the descrambled REs.
6. The method of claim 5 , wherein determining UCI value includes identifying the UCI value in accordance with descrambling sequences.
7. The method of claim 1 , further comprising calculating signal to interference noise ratio (SINR) in response to the categorizations of RE.
8. The method of claim 1 , further comprising determining a hypothesis value associated with the selected CSI2 information.
9. The method of claim 1 , further comprising modifying descrambling sequences to generate modified descrambling sequences.
10. An apparatus for processing wireless data via a communication network, comprising:
means for receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network;
means for calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block;
means for detecting a second type of 5G Physical Uplink Control Channel (PUCCH) Format in accordance with resource elements (REs) of each symbol and the configuration parameters; and
means for activating a despreader to combine repeated REs in symbols in accordance with spreading sequence index and type indicated by the configuration parameters.
11. The apparatus of claim 10 , further comprising means for categorizing resource elements (REs) by an RE identifier to generate RE information including categorizations of REs.
12. The apparatus of claim 10 , further comprising means for forwarding categorizations of REs from RE identifier to a soft demapper to generate soft-demapped REs in accordance with categorizations of REs.
13. The apparatus of claim 12 , further comprising means for generating descrambled REs based on the soft-demapped REs and the categorizations of RE.
14. The apparatus of claim 13 , further comprising means for determining uplink control information (UCI) value in accordance with the RE information and the descrambled REs.
15. The apparatus of claim 14 , wherein means for determining UCI value includes means for identifying the UCI value in accordance with descrambling sequences.
16. The apparatus of claim 10 , further comprising means for calculating signal to interference noise ratio (SINR) in response to the categorizations of RE.
17. The apparatus of claim 10 , further comprising means for determining a hypothesis value associated with the selected CSI2 information.
18. The apparatus of claim 10 , further comprising means for modifying descrambling sequences to generate modified descrambling sequences.
19. A non-transitory computer readable medium on which are stored program instructions that, when executed by a processor, cause the processor to perform operations of processing and transmitting data, comprising:
receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network;
calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block;
detecting a second type of 5G Physical Uplink Control Channel (PUCCH) Format in accordance with resource elements (REs) of each symbol and the configuration parameters; and
activating a despreader to combine repeated REs in symbols in accordance with spreading sequence index and type indicated by the configuration parameters.
20. The non-transitory computer readable medium of claim 19 , further comprising categorizing resource elements (REs) by an RE identifier to generate RE information including categorizations of RES.
21. The non-transitory computer readable medium of claim 20 , further comprising forwarding the categorizations of REs from the RE identifier to a soft demapper to generate soft-demapped REs in accordance with the categorizations of REs.
22. The non-transitory computer readable medium of claim 21 , further comprising generating descrambled REs based on the soft-demapped REs and the categorizations of RE.
23. The non-transitory computer readable medium of claim 22 , further comprising determining uplink control information (UCI) value in accordance with the RE information and the descrambled REs.
24. The non-transitory computer readable medium of claim 23 , wherein determining UCI value includes identifying the UCI value in accordance with descrambling sequences.
25. The non-transitory computer readable medium of claim 19 , further comprising calculating signal to interference noise ratio (SINR) in response to the categorizations of RE.
26. The non-transitory computer readable medium of claim 19 , further comprising determining a hypothesis value associated with the selected CSI2 information.
27. The non-transitory computer readable medium of claim 19 , further comprising modifying descrambling sequences to generate modified descrambling sequences.