RF-only channel datasets (currently 3 in total)
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Datasets for LLM4CP
📌 Overview
We adopt the widely used channel generator QuaDRiGa to simulate time-varying CSI datasets compliant with 3GPP standards. We consider a MISO-OFDM system, where a BS is equipped with a dual-polarized UPA with Nh = Nv = 4, and a user is equipped with a single omnidirectional antenna. The antenna spacing is half of the wavelength at the center frequency. We suppose the bandwidth of both the uplink and the downlink channels is 8.64 MHz and covers K = 48 RBs, i.e., the frequency interval of pilots is 180 kHz. For both the TDD and FDD modes, we set the center frequency of the uplink channel as 2.4 GHz. For FDD modes, the uplink and downlink channels are adjacent. We predict future L = 4 RBs based on historical P = 16 RBs and set the time interval of pilots as 0.5 ms. We consider the 3GPP urban macro (UMa) channel model and non-line-of-sight (NLOS) scenarios. The number of clusters is 21 and the number of paths per cluster is 20. The initial position of the user is randomized and the motion trajectory is set as linear type. The training dataset and validation dataset respectively contain 8 000 and 1 000 samples, with user velocities uniformly distributed between 10 km/h and 100 km/h. The testing dataset contains 10 velocities ranging from 10 km/h to 100 km/h, with 1 000 samples for each velocity.
📜 Related paper
B. Liu, X. Liu, S. Gao, X. Cheng, L. Yang. “ LLM4CP: Adapting Large Language Models for Channel Prediction.” Journal of Communications and Information Networks 9.2 (2024): 113-125. https://arxiv.org/abs/2406.14440
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