Practical Commercial 5G Standalone (SA) Uplink Throughput Prediction
Arunruangsirilert, Kasidis, Katto, Jiro
–arXiv.org Artificial Intelligence
The introduction of the 5G New Radio optimal for commercial 5G SA environment or has some (NR) network brings a huge uplift in uplink throughput over impracticality for real-world implementation. Mainly there the legacy 4G Long-Term Evolution (LTE) network, with the are two main approaches to tackle this problem; application promised target peak uplink throughput of 10 Gbps [1], which layer approach, where packet loss and delay are used for the should be sufficient for any multimedia application for many prediction [5][6][7], and physical layer approach, where RF years to come. However, that kind of throughput is highly and low-level parameters are used for the prediction. Some experimental and only achievable in the laboratory with a examples of the physical layer approaches are [8][9][10], controlled environment. One of the latest 5G RF Modem to be where the neural network had been used to accurately predict announced was the Qualcomm Snapdragon X75, which will the uplink throughput. However, many of the parameters be used by smartphone manufacturers from late-2023 onward, such as Resource Block Allocation (RB) and Transmission only supports the peak uplink throughput of 3.5 Gbps [2]. The Power (Tx Power) can't be accessed without modifying the latest showcase by Advanced Info Service (AIS), the Thailand's smartphone and installing specialized software, which renders largest Mobile Network Operator (MNO), and ZTE, one them impractical. Furthermore, frequency bands and duplex of the largest Radio Access Network (RAN) manufacturers, schemes are not taken into account.
arXiv.org Artificial Intelligence
Jul-23-2023
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