SK Telecom had 14 patents in digitalization during Q4 2023. SK Telecom Co Ltd filed a patent for a packet loss recovery apparatus and method for IPTV multicast services. The technology uses additional information from an IPTV UE to detect and transmit lost packets, improving overall service quality. GlobalData’s report on SK Telecom gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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SK Telecom grant share with digitalization as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Packet loss recovery device and method using cache server (Patent ID: US20230319368A1)
The patent filed by SK Telecom Co Ltd. describes a packet loss recovery apparatus and method for IPTV multicast services. The system involves a cache server receiving additional information from an IPTV UE about lost TS packets, setting a search section in transmitted TS packets, identifying the lost packet, and transmitting a recovery packet to the UE in a unicast manner. The method includes steps for handling continuity errors, defining packet loss sections, and generating necessary information for recovery.
The cache server method involves receiving additional information from the IPTV UE, setting a search section in transmitted TS packets, identifying the lost packet, and transmitting a recovery packet to the UE. The UE method includes steps for checking continuity errors, determining packet loss sections, generating additional information for recovery, and recovering the lost packet using the cache server. The patent also covers a non-transitory computer-readable medium storing instructions for performing the packet loss recovery process, including handling continuity errors, defining packet loss sections, and identifying lost packets for recovery. The system aims to improve packet loss recovery in IPTV multicast services by utilizing additional information and search mechanisms to efficiently recover lost packets.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
