3GPP標準進度
推廣研討會

The evolution toward 6G communications necessitates an intelligent air interface capable of addressing complex, non-linear wireless challenges that traditional mathematical models struggle to resolve. This presentation outlines the 3GPP 6G study items focused on AI/ML-enhanced Radio Access Networks (RAN), specifically emphasizing use cases for interface standardization. Central to this development are several critical use cases identified for 6G interface design covered in this presentation. We first introduce the use cases in channel state information (CSI) and estimation, which focusing on the reference signal and reporting mechanism design to utilize neural networks for non-linear channel estimation and CSI encoding, decoding, and compression to reduce feedback overhead while improving reconstruction accuracy. Along this direction, we can first investigate the application of AI on Demodulation Reference Signal (DMRS) enhancement, cross-frequency CSI prediction. Power amplifier (PA) non-linearity compensation is another interesting use case discussed in 6G to leverage the strong capability of AI to learn and compensate the highly non-linear distortion in near saturation region of PA to further explore the high power transmission region of uplink.

A brief introduction to 3GPP and how it impact the whole mobility communication industry

The evolution of wireless mobile communication

Why and how MediaTek works in 3GPP

Integrated Sensing and Communication (ISAC) is a key technology for 6G, enabling cellular networks to provide sensing capabilities in addition to conventional communication services. This talk presents the latest progress in 3GPP ISAC standardization, with a focus on Release 20 NR sensing. It reviews the major outcomes of the Study Item, including sensing architecture, measurement framework, performance evaluation, and UAV detection, followed by ongoing Work Item discussions. The talk will also address emerging sensing capabilities, such as micro-Doppler-based UAV classification and identification, and their potential evolution toward 6G.

這個演講將介紹3GPP非地面網路（NTN）中的移動性管理與換手定義相關標準與機制。TS 38.300 將 NTN納入框架，並支援不同衛星間、不同軌道以及 NTN 與傳統地面網路之間的互動。3GPP 除了延續傳統的機制，也提出條件式換手（CHO），針對 NTN 的特性增加時間與距離等 trigger，使 UE 能利用衛星移動所具有的可預測性進行換手決策。此外，NTN handover 亦需考量衛星高速移動所造成的傳播延遲、量測時機與服務區域變化等因素。為驗證上述 3GPP NTN mobility 與 handover 標準機制，這個演講也會介紹我們開發的 free5GC-NTN 系統層級開源驗證與測試平台，整合 ns-3 NTN通道模擬、衛星軌道資訊、UE-RAN模擬器與 free5GC核心網路，使動態衛星通道條件能實際影響 6G 核心網路中的封包傳輸與換手流程，並提供視覺化介面觀察衛星狀態與換手行為。