Samsung Electronics Co., Ltd.

Manali Sharma

Anil Agiwal

Young-Bin Chang

Sompong Paul Olarig

Anshuman Nigam

Ramdas P Kachare

June Hwang

Praveen Krishnamoorthy

Nagacharan Udupi

Chandranil Chakraborttii

Radhakrishnan Raju

According to one general aspect, an apparatus may include a host interface circuit configured to receive a memory access request, wherein the memory access request is associated with a data set. The apparatus may include a non-volatile memory storage circuit configured to create and store a transformed data set. The apparatus may include a translation circuit comprising at least one machine learning circuit. The translation circuit may be configured to: in response to a write memory access, convert an original version of the data set to the transformed data set, and in response to a read memory access, convert the transformed data set to a reconstructed data set.

Deep solid state device (deep-SSD): a neural network based persistent data storage

A programmable data storage device configured to process images via an embedded processor is disclosed. The processor identifies luminance and chrominance data of a received image, and retrieves a first machine learning model stored in the storage device. The first model is applied for making a first prediction about the image based on luminance data, and a first determination is made in regards to a criterion. In response to making the first determination, a first label associated with the first prediction is returned. A second determination is also made in regards to the criterion. In response to making the second determination, a second machine learning model stored in the storage device is retrieved. The second machine learning model is applied for making a second prediction about the image based on the color data associated with the image, and a second label associated with the second prediction is determined.

In-storage-based data processing using machine learning

A method for processing a priority for transmission by a user equipment (UE) in a device-to-device (D2D) communication system are provided. The method includes receiving a priority for a packet to be transmitted from a higher layer, mapping the packet to a logical channel based on the priority and a destination to which the packet is to be transmitted, receiving a grant for the transmission of the packet from a base station, and transmitting the packet.

Method and apparatus for processing priority in D2D 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 a long term evolution (LTE). The various embodiments of the present disclosure disclose a method for selecting a relay in a source user equipment (UE) in a device-to-device (D2D) communication system. The method includes receiving a relay discovery message from one or more user equipment-network (UE-NW) relays; measuring a radio link quality of a wireless link between the source UE and a UE-NW relay for each of the one or more UE-NW relays discovered by the source UE; and selecting a UE-NW relay using information included in the relay discovery message, the radio link quality of the wireless link between the source UE and the UE-NW relay and a radio link quality of the wireless link between the UE-NW relay and a base station (BS).

Apparatus and method for providing relay selection in device-to-device communication system

A resource allocation method and device capable of preventing resource conflict in a wireless communication system supporting device-to-device (D2D) communication is provided. The resource allocation method includes transmitting to a base station, by a relay user equipment (UE) located within a coverage of the base station, a message comprising indication information related to the relay UE, and performing, by the relay UE, D2D communication with a remote UE located out of the coverage by using a first resource, the first resource being allocated by the base station based on the indication information.

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Bengaluru, India

Manali Sharma