Aerial CUDA-Accelerated RAN
Aerial CUDA-Accelerated RAN 24-3

References

[1] 3GPP, “NR; Physical channels and modulation,” 3GPP TR 38.211, v15.4.0.

[2] 3GPP, “NR; Multiplexing and channel coding,” 3GPP TR 38.212, v15.4.0.

[3] 3GPP, “NR; Physical layer procedures for control,” 3GPP TR 38.213, v15.4.0.

[4] 3GPP, “NR; Physical layer procedures for data,” 3GPP TR 38.214, v15.4.0.

[5] 3GPP, “NR; Physical layer measurements,” 3GPP TR 38.215, v15.4.0.

[6] Small cell forum, “SCF 222 5G FAPI PHY API,” v10.02, March 2020.

[7] NVIDIA GPU Direct RDMA, https://developer.nvidia.com/gpudirect.

[8] O-RAN Working Group 4 (Open Fronthaul Interfaces WG), Control, User and Synchronization Plane Specification, O-RAN.WG4.CUS.0-v07.02.

[9] Jinghu Chen and M. P. C. Fossorier, “Near optimum universal belief propagation based decoding of low-density parity check codes,” in IEEE Transactions on Communications, vol. 50, no. 3, pp. 406-414, March 2002.

[10] K. Chen, B. Li, H. Shen, J. Jin and D. Tse, “Reduce the Complexity of List Decoding of Polar Codes by Tree-Pruning,” in IEEE Communications Letters, vol. 20, no. 2, pp. 204-207, Feb. 2016.

[11] G. Sarkis, P. Giard, A. Vardy, C. Thibeault and W. J. Gross, “Fast List Decoders for Polar Codes,” in IEEE Journal on Selected Areas in Communications, vol. 34, no. 2, pp. 318-328, Feb. 2016.

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