Samsung Electronics Co., Ltd.

Satya Venkata Umakishore Godavarti

Satya Kumar Vankayala

Anshuman Nigam

Abhay Kumar Sah

Issaac Kommineni

Shruti Shetty

Ravi Teja Gundeti

Gaurav Potnis

The present disclosure relates to a pre-5-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4-Generation (4G) communication system such as Long Term Evolution (LTE). The present disclosure provides methods and systems for reducing fronthaul bandwidth. Embodiments herein relate to the field of wireless networks and more particularly to reducing fronthaul bandwidth during a transfer of data between at least one radio node and at least one centralized node in a wireless network. A method disclosed herein includes determining parameters specific to at least one User Equipment (UE) using a machine learning method. The method further includes transferring data between the at least one radio node and the at least one centralized node over a fronthaul link by compressing the data using the parameters that are determined using the machine learning method. The method further includes decompressing, by at least one of the at least one radio node and the at least one centralized node, the compressed data using the parameters that are determined using the machine learning method.

Methods and systems for reducing fronthaul bandwidth in a wireless communication system

The present disclosure relates to a pre-5-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4-Generation (4G) communication system such as long term evolution (LTE). Methods and systems for optimizing computation of log-likelihood ratio (LLR) for decoding modulated symbols. A method disclosed herein involves receiving at least one symbol transmitted from at least one device, wherein the received at least one symbol is encoded and modulated symbol including a plurality of data bits. The method further includes computing a log-likelihood ratio (LLR) of each bit in the received at least one symbol for decoding the received at least one symbol using a centroid method that involves exploiting a symmetry of a constellation of code words and/or a uncertainty region defined on a constellation of code words.

Methods and systems for optimizing computation of log-likelihood ratio (LLR) for decoding modulated symbols

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Bengaluru, India

Satya Venkata Umakishore Godavarti