Insights

Shaping the Future of AI/ML in 5G Standards at RAN2#127-bis for 3GPP RAN2 Delegates

Background After RAN#105, the work item on Artificial Intelligence (AI)/Machine Learning (ML) for NR Air Interface (NR_AIML_air; refer to RP-242399 for details) was revised to target enhancing 5G network performance. This evolution builds on prior studies to specify the signaling and protocols needed for AI/ML applications like beam management, positioning, and CSI feedback, ensuring a seamless operation between the network and user equipment (UE). In the previous RAN2#127 meeting, delegates made several key agreements under agenda item 8.1.2.2 - LCM (Life Cycle Management) for the UE-sided model for Beam Management. These included: Definitions: Supported functionalities are those reported by the...

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Jackson Lin

Understanding the Focus of Measurements Related Enhancements for LTM at RAN1#118-bis for 3GPP RAN1 Delegates

Background During the setting of cellular standards in Release 19, the work item NR Mobility Enhancements Phase 4 (NR_Mob_Ph4; refer to RP-241515 for the detailed scope of the WI) aims to address limitations introduced in Rel-18 by expanding LTM capabilities, supporting inter-CU operations, and enhancing L1 measurement capabilities. These enhancements ensure smoother mobility and efficient measurement handling in NR systems. In agenda item 9.9.1 - Measurements Related Enhancements for LTM (Layer 1/Layer 2 Triggered Mobility) at the previous RAN1#118 meeting, several important agreements were reached in R1-2407445, including: Support for L1-RSRP measurement based on CSI-RS, providing a more robust framework...

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Jackson Lin

Navigating the Challenges of A-IoT Standards in 3GPP RAN2: Insights and Solutions

Introduction As the digital landscape evolves, the importance of setting robust and sustainable standards for Ambient IoT (A-IoT) within NR cannot be overstated. The FS_Ambient_IoT_Solutions work item is at the forefront of this endeavor, aiming to develop a new 3GPP IoT technology that is ultra-low in complexity and power consumption, yet capable of supporting the vast scale of future IoT applications. The Road to Standards At the upcoming RAN2#127 meeting, agenda item 8.2.3—A-IoT Paging—will be a central focus. Across 34 distinct TDocs, contributed by 32 different sources, 233 proposals aim to define how IoT devices will operate in real-world environments....

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Patrick Liu

Patent Insight of China’s Future Car Makers

The future car is the hottest topic in the automotive market in recent years, which can be roughly divided into four technical fields: Connected Car, Autonomous Car, Sharing Car, and Electric Car, in sum, CASE[1] technology.  To understand the world's future car development, we cannot ignore China, which has the largest automobile production. Figure 1. Investment relationship of the Chinese automotive industry As shown in the investment relationship of the Chinese automotive industry in Figure 1, it includes investments, joint ventures, and cooperation between China's large traditional automakers (yellow blocks), large technology companies (purple blocks), and China's new automakers (green...

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Alvyn Lin

CATL and CALB Competing in the Power Battery Market – Patent Offenses and Defense War Tend to Be Harsh

As a critical component of electric vehicles, batteries not only affect the endurance and performance of electric vehicles: they are also a key aspect of electric vehicles’ possible popularity in the future. With the rise of the electric vehicle industry, the global power battery field is also gradually moving towards a more mature stage where a hundred schools of thought compete in a rather fierce manner. Both Contemporary Amperex Technology Co. Limited (CATL) and China Aviation Lithium Electricity Technology Co., Ltd. (formerly known as China Aviation Lithium Battery Co., Ltd., or CALB) are China-based power battery manufacturers. Their batteries are...

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Kimberly Uy

A look at the EPO and CNIPA pilot project

As the joint pilot project between the European Patent Office (EPO) and the China National Intellectual Property Administration (CNIPA) is due to commence on December 1st, 2020, we took a look at the various benefits and drawbacks that this program may bring to the table.   Patent applications originating in China accounted for 5% of European applications in 2018. The number of Patent Cooperation Treaty (PCT) applications originating in China was seen to grow further in the following years.   The agreement is a development in a strategic partnership between the EPO and CNIPA that began in 2017. The EPO-CNIPA...

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Lucille Chang

U.S.-China trade war- WeChat ban is blocked by U.S. district court with an injunction.

On August 6, 2020, United States President, Donald Trump, signed two executive orders prohibiting individuals and entities within the US from conducting any transactions with Chinese companies, ByteDance (the parent company of TikTok) and Tencent (the parent company of WeChat), which were due to be implemented on September 20, 2020.   In a statement issued by the US Department of Commerce, it claims: “While the threats posed by WeChat and TikTok are not identical, they are similar. Each collects vast data from users, including network activity, location data, and browsing and search histories. Each is an active participant in China’s...

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Steven Chang

Is TWS the next driving force for the consumer electronics market? Let’s see what Apple’s earbud patents tell us

Since the debut of Apple’s Airpods in 2016, it’s hard not to notice increasing numbers of people enjoying music and videos with a pair of small, white, streamlined earbuds in their ears. As reported this September by DigiTimes, the PCB and IC substrate suppliers have seen a significant rise in the shipment of True Wireless Stereo (TWS) gadgets in the second half of 2020. We didn’t need to wait until the end of 2020 to see that happen, as Apple’s financial statement — published in 2019 — shed some light on what was to come. Apple’s 2019 10-K report stated...

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Patrick Liu

Vehicle-to-Everything, how about Cybersecurity?

Researchers at the University of North Texas announced[1] this year on September 24, that they plan to use the 1 million USD, provided by the National Science Foundation, to establish the first framework in the United States that allows self-driving cars to share data with each other.  Standardizing the data between self-driving cars is an important infrastructure for achieving “cooperative perception” of the vehicles.   Different brands of self-driving cars use different sensors and software, making it difficult for data sharing between the cars. The Vehicle-to-Everything’s (V2X) purpose is to solve this problem through cloud services using the above framework, so...

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