US 12,250,044 B2
Method and system for channel quality status prediction in wireless network using machine learning
Satya Kumar Vankayala, Bangalore (IN); Anshuman Nigam, Bangalore (IN); Avinash Bhat, Bangalore (IN); Seungil Yoon, Suwon-si (KR); Shweta Madhurapantula, Bangalore (IN); Sudharsan Parthasarathy, Bangalore (IN); and Abhay Kumar Sah, Bangalore (IN)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on May 19, 2022, as Appl. No. 17/748,568.
Application 17/748,568 is a continuation of application No. PCT/KR2020/016594, filed on Nov. 23, 2020.
Claims priority of application No. 201941047831 (IN), filed on Nov. 22, 2019; and application No. 2019 41047831 (IN), filed on Nov. 5, 2020.
Prior Publication US 2022/0278728 A1, Sep. 1, 2022
Int. Cl. H04B 7/06 (2006.01); H04B 7/0417 (2017.01)
CPC H04B 7/0632 (2013.01) [H04B 7/0417 (2013.01); H04B 7/063 (2013.01); H04B 7/0639 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method performed by a base station (BS) in a wireless communication system, the method comprising:
receiving, from at least one user equipment (UE), first channel quality information for a first frequency band, wherein the first channel quality information includes at least one of a channel quality indicator (CQI), a pre-coding matrix index (PMI), or a rank index (RI);
obtaining a plurality of network parameters from the first channel quality information, the plurality of network parameters including a first parameter associated with the first frequency band, a second parameter associated with the UE and the BS, and a third parameter associated with an environmental condition;
applying the plurality of the network parameters to a trained machine learning (ML) model as input data; and
determining second channel quality information for a second frequency band different from the first frequency band based on output data from the trained ML model,
wherein the first parameter includes at least one of a subcarrier spacing or a bandwidth part (BWP) of the first frequency band, the second parameter includes at least one of a number of the at least one UE, an operation mode of the BS, or a transmitting power of the at least one UE, and the third parameter includes at least one of a climate condition or a time of a day.