Molecular index modulation using convolutional neural networks
Tài liệu tham khảo
Yilmaz, 2017, Modulation techniques for molecular communication via diffusion, 99, 10.1007/978-3-319-50688-3_5
Yilmaz, 2014, Three-dimensional channel characteristics for molecular communications with an absorbing receiver, IEEE Commun. Lett., 18, 929, 10.1109/LCOMM.2014.2320917
Kabir, 2015, D-MoSK modulation in molecular communications, IEEE Trans. NanoBiosci., 14, 680, 10.1109/TNB.2015.2436409
M.S. Kuran, H.B. Yilmaz, T. Tugcu, I.F. Akyildiz, Modulation techniques for communication via diffusion in nanonetworks, in: 2011 IEEE International Conference on Communications, ICC, 2011, pp. 1–5.
Tepekule, 2015, ISI mitigation techniques in molecular communication, IEEE Trans. Mol. Biol. Multi-Scale Commun., 1, 202, 10.1109/TMBMC.2015.2501745
Kislal, 2020, ISI-mitigating channel codes for molecular communication via diffusion, IEEE Access, 8, 24588, 10.1109/ACCESS.2020.2970108
Tepekule, 2015, A novel pre-equalization method for molecular communication via diffusion in nanonetworks, IEEE Commun. Lett., 19, 1311, 10.1109/LCOMM.2015.2441726
Koo, 2016, Molecular MIMO: From theory to prototype, IEEE J. Sel. Areas Commun., 34, 600, 10.1109/JSAC.2016.2525538
Gursoy, 2019, Index modulation for molecular communication via diffusion systems, IEEE Trans. Commun., 67, 3337, 10.1109/TCOMM.2019.2898665
Huang, 2019, Spatial modulation for molecular communication, IEEE Trans. NanoBiosci., 18, 381, 10.1109/TNB.2019.2905254
Basar, 2016, Index modulation techniques for 5G wireless networks, IEEE Commun. Mag., 54, 168, 10.1109/MCOM.2016.7509396
Tang, 2021, A molecular spatio-temporal modulation scheme for MIMO communications, 1
Assaf, 2019, MTEX-CNN: Multivariate time series explanations for predictions with convolutional neural networks, 952
Liu, 2018, Time series classification with multivariate convolutional neural network, IEEE Trans. Ind. Electron., 66, 4788, 10.1109/TIE.2018.2864702
Garralda, 2011, Diffusion-based physical channel identification in molecular nanonetworks, Nano Commun. Netw., 2, 196, 10.1016/j.nancom.2011.07.001
Kilinc, 2013, Receiver design for molecular communication, IEEE J. Sel. Areas Commun., 31, 705, 10.1109/JSAC.2013.SUP2.1213003
Forney, 1972, Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference, IEEE Trans. Inform. Theory, 18, 363, 10.1109/TIT.1972.1054829
Ioffe, 2015, Batch normalization: Accelerating deep network training by reducing internal covariate shift, 448
Robbins, 1951, A stochastic approximation method, Ann. Math. Stat., 400, 10.1214/aoms/1177729586
Kingma, 2014