A new generative AI based for modelling free space optical links

T. Schenk, RF imperfections in high-rate wireless systems: impact and digital compensation (Springer Science and Business Media, Berlin, 2008). https://doi.org/10.1007/978-1-4020-6903-1

Book  Google Scholar 

T. O’Shea, J. Hoydis, An introduction to deep learning for the physical layer. IEEE Trans. Cogn. Commun. Netw. 3(4), 563–575 (2017). https://doi.org/10.1109/TCCN.2017.2758370

Article  Google Scholar 

K. He, X. Zhang, S. Ren, J. Sun, Delving deep into rectifiers: surpassing human-level performance on imagenet classification. 2015 IEEE International Conference on Computer Vision (ICCV), 1026–1034 (2015) https://doi.org/10.1109/ICCV.2015.123

K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators. Neural Netw. 2(5), 359–366 (1989). https://doi.org/10.1016/0893-6080(89)90020-8

Article  Google Scholar 

T. Wang, C.-K. Wen, H. Wang, F. Gao, T. Jiang, S. Jin, Deep learning for wireless physical layer: opportunities and challenges. China Commun. 14(11), 92–111 (2017). https://doi.org/10.1109/CC.2017.8233654

Article  Google Scholar 

E. Nachmani, E. Marciano, D. Burshtein, Y. Be’ery, RNN decoding of linear block codes. arXiv:abs/1702.07560 (2017)

Z. Qin, H. Ye, G.Y. Li, B.-H.F. Juang, Deep learning in physical layer communications. IEEE Wirel. Commun. 26(2), 93–99 (2019). https://doi.org/10.1109/MWC.2019.1800601

Article  Google Scholar 

V. Raj, S. Kalyani, Backpropagating through the air: deep learning at physical layer without channel models. IEEE Commun. Lett. 22(11), 2278–2281 (2018). https://doi.org/10.1109/LCOMM.2018.2868103

Article  Google Scholar 

S. Dörner, S. Cammerer, J. Hoydis, St. Brink, Deep learning based communication over the air. IEEE J. Sel. Top. Signal Process. 12(1), 132–143 (2018). https://doi.org/10.1109/JSTSP.2017.2784180

Article  ADS  Google Scholar 

M. Ibukahla, J. Sombria, F. Castanie, N.J. Bershad, Neural networks for modeling nonlinear memoryless communication channels. IEEE Trans. Commun. 45(7), 768–771 (1997). https://doi.org/10.1109/26.602580

Article  Google Scholar 

J. Sjoberg, Q. Zhang, L. Ljung, A. Benveniste, B. Delyon, P.-Y. Glorennec, H. Hjalmarsson, A. Juditsky, Nonlinear black-box modeling in system identification: a unified overview. Automatica 31(12), 1691–1724 (1995). https://doi.org/10.1016/0005-1098(95)00120-8. (Trends in System Identification)

Article  MathSciNet  Google Scholar 

S. Cammerer, T. Gruber, J. Hoydis, S. Brink, Scaling deep learning-based decoding of polar codes via partitioning. GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 1–6 (2017)

X. Gao, S. Jin, C.-K. Wen, G.Y. Li, Comnet: combination of deep learning and expert knowledge in OFDM receivers. IEEE Commun. Lett. 22, 2627–2630 (2018)

Article  Google Scholar 

H. He, C.-K. Wen, S. Jin, G.Y. Li, Deep learning-based channel estimation for beamspace mmwave massive MIMO systems. IEEE Wirel. Commun. Lett. 7(5), 852–855 (2018). https://doi.org/10.1109/LWC.2018.2832128

Article  Google Scholar 

M. Soltani, V. Pourahmadi, A. Mirzaei, H. Sheikhzadeh, Deep learning-based channel estimation. IEEE Commun. Lett. 23(4), 652–655 (2019). https://doi.org/10.1109/LCOMM.2019.2898944

Article  Google Scholar 

H. Ye, G.Y. Li, B.-H. Juang, Power of deep learning for channel estimation and signal detection in OFDM systems. IEEE Wirel. Commun. Lett. 7(1), 114–117 (2018). https://doi.org/10.1109/LWC.2017.2757490

Article  Google Scholar 

Q. Hu, F. Gao, H. Zhang, S. Jin, G.Y. Li, Deep learning for channel estimation: interpretation, performance, and comparison. IEEE Trans. Wirel. Commun. 20(4), 2398–2412 (2021). https://doi.org/10.1109/TWC.2020.3042074

Article  Google Scholar 

H. Huang, J. Yang, H. Huang, Y. Song, G. Gui, Deep learning for super-resolution channel estimation and DOA estimation based massive MIMO system. IEEE Trans. Veh. Technol. 67(9), 8549–8560 (2018). https://doi.org/10.1109/TVT.2018.2851783

Article  Google Scholar 

Q. Bai, J. Wang, Y. Zhang, J. Song, Deep learning-based channel estimation algorithm over time selective fading channels. IEEE Trans. Cogn. Commun. Netw. 6(1), 125–134 (2020). https://doi.org/10.1109/TCCN.2019.2943455

Article  Google Scholar 

I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative adversarial nets, in Advances in Neural Information Processing Systems, pp. 2672–2680 (2014)

X. Liao, J. Si, J. Shi, Z. Li, H. Ding, Generative adversarial network assisted power allocation for cooperative cognitive covert communication system. IEEE Commun. Lett. 24(7), 1463–1467 (2020). https://doi.org/10.1109/LCOMM.2020.2988384

Article  Google Scholar 

A.T.Z. Kasgari, W. Saad, M. Mozaffari, H.V. Poor, Experienced deep reinforcement learning with generative adversarial networks (GANs) for model-free ultra reliable low latency communication. IEEE Trans. Commun. 69(2), 884–899 (2021). https://doi.org/10.1109/TCOMM.2020.3031930

Article  Google Scholar 

Y. Yang, Y. Li, W. Zhang, F. Qin, P. Zhu, C.-X. Wang, Generative-adversarial-network-based wireless channel modeling: challenges and opportunities. IEEE Commun. Mag. 57(3), 22–27 (2019). https://doi.org/10.1109/MCOM.2019.1800635

Article  Google Scholar 

L. Sun, Y. Wang, A.L. Swindlehurst, X. Tang, Generative-adversarial-network enabled signal detection for communication systems with unknown channel models. IEEE J. Sel. Areas Commun. 39(1), 47–60 (2021). https://doi.org/10.1109/JSAC.2020.3036954

Article  Google Scholar 

H. Ye, L. Liang, G.Y. Li, B.-H. Juang, Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels. IEEE Trans. Wirel. Commun. 19(5), 3133–3143 (2020). https://doi.org/10.1109/TWC.2020.2970707

Article  Google Scholar 

H. Ye, G.Y. Li, B.-H.F. Juang, K. Sivanesan, Channel agnostic end-to-end learning based communication systems with conditional GAN. 2018 IEEE Globecom Workshops (GC Wkshps), 1–5 (2018) https://doi.org/10.1109/GLOCOMW.2018.8644250

Q. Zhang, A. Ferdowsi, W. Saad, M. Bennis, Distributed conditional generative adversarial networks (GANs) for data-driven millimeter wave communications in UAV networks. IEEE Trans. Wirel. Commun. 21(3), 1438–1452 (2022). https://doi.org/10.1109/TWC.2021.3103971

Article  Google Scholar 

Z. Ghassemlooy, W. Popoola, W. Rajbhandari, Optical Wireless Communications: System and Channel Modeling with MATLAB (CRC Press, Boca Raton, 2012)

Google Scholar 

S. Arnon, J.R. Barry, G.K. Karagiannidis, R. Schober, M. Uysal, Advanced Optical Wireless Communication (Cambridge University Press, Cambridge, 2012)

Google Scholar 

A.A. Farid, S. Hranilovic, Outage capacity optimization for free-space optical links with pointing errors. J. Lightwave Technol. 25, 1702–1710 (2007). https://doi.org/10.1109/JLT.2007.899174

Article  ADS  Google Scholar 

E. Lee, J. Park, D. Han, G. Yoon, Performance analysis of the asymmetric dual-hop relay transmission with mixed RF/FSO links. IEEE Photonics Technol. Lett. 23(21), 1642–1644 (2011). https://doi.org/10.1109/LPT.2011.2166063

Article  ADS  Google Scholar 

A. Upadhya, V.K. Dwivedi, G. Singh, Relay-aided free-space optical communications using αμ distribution over atmospheric turbulence channels with misalignment errors. Opt. Commun. 416, 117–124 (2018). https://doi.org/10.1016/j.optcom.2018.01.053

Article  ADS  Google Scholar 

A. Upadhya, V.K. Dwivedi, G. Singh, Multiuser diversity for mixed RF/FSO cooperative relaying in the presence of interference. Opt. Commun. 442, 77–83 (2019)

Article  ADS  Google Scholar 

A. Upadhya, V.K. Dwivedi, M.-S. Alouini, Interference-limited mixed MUD-RF/FSO two-way cooperative networks over double generalized gamma turbulence channels. IEEE Commun. Lett. 442, 1551–1555 (2019)

Article  Google Scholar 

A. Goel, A. Upadhya, V.K. Dwivedi, Diversity aided millimeter-wave/free space optical cooperative relaying systems. Int. J. Commun. Syst. 34(4), 4700 (2021). https://doi.org/10.1002/dac.4700

Article  Google Scholar 

A. Upadhya, Investigation of mixed RF/FSO decode-and-forward NOMA cooperative relaying networks. Wirel. Pers. Commun. 124, 2923–2938 (2022). https://doi.org/10.1007/s11277-022-09496-2

Article  Google Scholar 

A. Goel, R. Bhatia, Hybrid RF/MIMO-FSO relaying systems over Gamma–Gamma fading channels. International Conference on Innovative Computing and Communications, in Advances in Intelligent Systems and Computing, vol 1165. Springer, Singapore 1165, (2021)

A. Goel, R. Bhatia, On the performance of mixed user diversity-RF/spatial diversity-FSO cooperative relaying AF systems. Opt. Commun. 477, 126333 (2020)

Article  Google Scholar 

A. Goel, R. Bhatia, Double relay selection for combating the impact of interference and hardware impairments in mixed RF/FSO two way relay networks. Opt. Quant. Electron. 54(11), 751 (2022)

Article  Google Scholar 

W.R. Braun, U. Dersch, A physical mobile radio channel model. IEEE Trans. Veh. Technol. 40(2), 472–482 (1991)

Article  Google Scholar 

S. Song, Y. Liu, T. Xu, S. Liao, L. Guo, Demonstration of channel-predictable free space optical communication system using machine learning, in 2021 Optical Fiber Communications Conference and Exhibition (OFC), 1–3 (2021)

P. Mishra, A. Sonali, Dixit, V.K. Jain, Machine learning techniques for channel estimation in free space optical communication systems, in 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 1–6 (2019) https://doi.org/10.1109/ANTS47819.2019.9117976

L. Li, T. Bu, Y. Li, S. Wei, A. Harris, Z. Chen, K. Foo, D. Shen, G. Chen, Machine learning based tool chain solution for free space optical communication (FSOC) propagation modeling. https://doi.org/10.1109/AERO50100.2021.9438522

A. Upadhya, Gan based channel estimation and interference cancellation for mixed RF/FSO cooperative relaying systems. Phys. Commun. 61, 102199 (2023). https://doi.org/10.1016/j.phycom.2023.102199

Article  Google Scholar 

M.A. Kashani, M. Uysal, M. Kavehrad, A novel statistical channel model for turbulence-induced fading in free-space optical systems. IEEE/OSA J. Lightwave Technol. 33(11), 2303–2312 (2015)

Article  ADS 

留言 (0)

沒有登入
gif