IP Library Granted Patent US 12,309,764
Granted Patent B1
US 12,309,764 · App. 18/655,338 · Granted May 20, 2025

Methods and apparatus for combining received uplink transmissions

Inventors: Sabih Guzelgoz (San Jose, CA); Hong Jik Kim (San Jose, CA)
Assignee: Marvell Asia Pte, Ltd
H04W72/0466
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Quick Facts
Patent No.
US 12,309,764
App. No.
18/655,338
Granted
May 20, 2025
Kind
B1
Abstract

Methods and apparatus for combining received uplink transmissions. In an embodiment, a process for providing wireless data via a communication network is able to determine a type of 5G orthogonal frequency-division multiplexing (OFDM) in accordance with resource elements (REs) of each symbol and configuration parameters. After removing reference signals from the REs to generate a stream of data, demapped data and signal to interference noise radio (SINR) information are generated in accordance with the stream of data. The process is further capable of categorizing REs via an RE identifier to generate RE information including categorizations of REs.

Claims (45)

1. A method for processing wireless data via a communication network, comprising:

determining a first type of 5G orthogonal frequency-division multiplexing (OFDM) in accordance with resource elements (REs) of each symbol and configuration parameters;

removing reference signals from the REs to generate a stream of data;

generating demapped data and signal to interference noise radio (SINR) information in accordance with the stream of data;

categorizing REs via an RE identifier to generate RE information including categorizations of REs; and

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.

2. The method of claim 1 , further comprising receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network.

3. The method of claim 1 , further comprising calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block.

4. The method of claim 1 , 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 3 , further comprising calculating signal to interference noise ratio (SINR) in response to the categorizations of RE.

8. A method for processing information transmitted by a communication network, comprising:

determining a first type of 5G orthogonal frequency-division multiplexing (OFDM) in accordance with resource elements (REs) of first symbol and configuration parameters;

removing reference signals from the REs to generate a stream of data;

categorizing the REs into a plurality of categories indexing some REs containing uplink control information (UCI) and some REs containing data for generating categorized REs;

descrambling the REs of the first symbol to generate descrambled REs of the first symbol in accordance with the configuration parameters; and

forwarding the categorizations of REs via an RE identifier to a soft demapper to generate soft-demapped REs in accordance with the categorizations of REs.

9. The method of claim 8 , further comprising receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network.

10. The method of claim 8 , further comprising calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block.

11. The method of claim 8 , further comprising generating demapped data and signal to interference noise radio (SINR) information in accordance with the stream of data.

12. The method of claim 8 , further comprising determining a hypothesis value associated with selected second channel state information (CSI2) information.

13. The method of claim 8 , further comprising modifying descrambling sequences to generate modified descrambling sequences.

14. The method of claim 8 , further includes descrambling rescrambled REs with the modified descrambling sequences to generate modified descrambled REs and accumulating modified descrambled REs to form combined second channel state information (CSI2) values.

15. An apparatus for processing wireless data via a communication network, comprising: means for determining a first type of 5G orthogonal frequency-division multiplexing (OFDM) in accordance with resource elements (REs) of each symbol and configuration parameters;

means for removing reference signals from the REs to generate a stream of data;

means for generating demapped data and signal to interference noise radio (SINR) information in accordance with the stream of data;

means for categorizing REs via an RE identifier to generate RE information including categorizations of REs; and

means for 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.

16. The apparatus of claim 15 , further comprising means for receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network.

17. The apparatus of claim 15 , further comprising means for calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block.

18. The apparatus of claim 15 , further comprising means for generating descrambled REs based on the soft-demapped REs and the categorizations of RE.

19. The apparatus of claim 18 , further comprising means for determining uplink control information (UCI) value in accordance with the RE information and the descrambled REs.

20. The apparatus of claim 19 , wherein means for determining UCI value includes means for identifying the UCI value in accordance with descrambling sequences.

21. The apparatus of claim 17 , further comprising means for calculating signal to interference noise ratio (SINR) in response to the categorizations of RE.

22. The apparatus for processing information transmitted by a communication network, comprising:

means for determining a first type of 5G orthogonal frequency-division multiplexing (OFDM) in accordance with resource elements (REs) of first symbol and configuration parameters;

means for removing reference signals from the REs to generate a stream of data;

means for categorizing the REs into a plurality of categories indexing some REs containing uplink control information (UCI) and some REs containing data for generating categorized REs;

means for descrambling the REs of the first symbol to generate descrambled REs of the first symbol in accordance with the configuration parameters; and

means for forwarding the categorizations of REs via an RE identifier to a soft demapper to generate soft-demapped REs in accordance with the categorizations of REs.

23. The apparatus of claim 22 , further comprising means for receiving one or more symbols via uplink transmissions from a user equipment through a 5G communication network.

24. The apparatus of claim 22 , further comprising means for calculating a norm gain value per symbol based on received symbols and configuration parameters retrieved from a parameter block.

25. The apparatus of claim 22 , further comprising means for generating demapped data and signal to interference noise radio (SINR) information in accordance with the stream of data.

26. The apparatus of claim 22 , further comprising means for determining a hypothesis value associated with selected second channel state information (CSI2) information.

Continuity (5)
Continuation 18235771 · Aug 18, 2023
Division 17943074 · Sep 12, 2022
Division 17189108 · Mar 1, 2021
Continuation 16434057 · Jun 6, 2019
Provisional Application 62681386 · Jun 6, 2018
References Cited (3)
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US 20180131498A1 · Chen · 2018 [cited by examiner]
US 20190229843A1 · Yoshimoto · 2019 [cited by examiner]