A machine learning-based concentration-encoded molecular communication system
Tài liệu tham khảo
Nakano, 2013
Suda, 2005, Exploratory research on molecular communication between nanomachines, vol. 25, 29
Akyildiz, 2008, Nanonetworks: A new communication paradigm, Comput. Netw., 52, 2260, 10.1016/j.comnet.2008.04.001
Akyildiz, 2011, Nanonetworks: A new frontier in communications, Commun. ACM, 54, 84, 10.1145/2018396.2018417
Farsad, 2016, A comprehensive survey of recent advancements in molecular communication, IEEE Commun. Surv. Tutor., 18, 1887, 10.1109/COMST.2016.2527741
Nakano, 2012, Molecular communication and networking: Opportunities and challenges, IEEE Trans. Nanobiosci., 11, 135, 10.1109/TNB.2012.2191570
Chude-Okonkwo, 2017, Molecular communication and nanonetwork for targeted drug delivery: A survey, IEEE Commun. Surv. Tutor., 19, 3046, 10.1109/COMST.2017.2705740
Islam, 2021, A molecular communication-based simultaneous targeted-drug delivery scheme, IEEE Access, 9, 96658, 10.1109/ACCESS.2021.3094892
Chahibi, 2013, A molecular communication system model for particulate drug delivery systems, IEEE Trans. Biomed. Eng., 60, 3468, 10.1109/TBME.2013.2271503
Chahibi, 2017, Molecular communication for drug delivery systems: A survey, Nano Commun. Netw., 11, 90, 10.1016/j.nancom.2017.01.003
Chahibi, 2015, An intra-body molecular communication networks framework for continuous health monitoring and diagnosis, 4077
Akyildiz, 2015, The internet of bio-nano things, IEEE Commun. Mag., 53, 32, 10.1109/MCOM.2015.7060516
Malak, 2012, Molecular communication nanonetworks inside human body, Nano Commun. Netw., 3, 19, 10.1016/j.nancom.2011.10.002
Yetimoğlu, 2021, Underwater testbed for molecular communication, 1
Huang, 2019, Space shift keying for molecular communication: Theory and experiment, 1
Gulec, 2020, A droplet-based signal reconstruction approach to channel modeling in molecular communication, IEEE Trans. Mol., Biol. Multi-Scale Commun., 7, 64, 10.1109/TMBMC.2020.3043484
Pierobon, 2010, A physical end-to-end model for molecular communication in nanonetworks, IEEE J. Sel. Areas Commun., 28, 602, 10.1109/JSAC.2010.100509
Atakan, 2016
Mahfuz, 2016, Achievable strength-based signal detection in quantity-constrained PAM OOK concentration-encoded molecular communication, IEEE Trans. NanoBiosci., 15, 619, 10.1109/TNB.2016.2625340
Okaie, 2020, Binary concentration shift keying with multiple measurements of molecule concentration in mobile molecular communication, 42
Mahfuz, 2014, A comprehensive study of sampling-based optimum signal detection in concentration-encoded molecular communication, IEEE Trans. Nanobiosci., 13, 208, 10.1109/TNB.2014.2341693
Mahfuz, 2016, Concentration-encoded subdiffusive molecular communication: Theory, channel characteristics, and optimum signal detection, IEEE Trans. Nanobiosci., 15, 533, 10.1109/TNB.2016.2588323
Kuran, 2011, Modulation techniques for communication via diffusion in nanonetworks, 1
Llatser, 2013, Detection techniques for diffusion-based molecular communication, IEEE J. Sel. Areas Commun., 31, 726, 10.1109/JSAC.2013.SUP2.1213005
Mahfuz, 2010, On the characterization of binary concentration-encoded molecular communication in nanonetworks, Nano Commun. Netw., 1, 289, 10.1016/j.nancom.2011.01.001
Kuran, 2012, Interference effects on modulation techniques in diffusion based nanonetworks, Nano Commun. Netw., 3, 65, 10.1016/j.nancom.2012.01.005
Garralda, 2011, Diffusion-based physical channel identification in molecular nanonetworks, Nano Commun. Netw., 2, 196, 10.1016/j.nancom.2011.07.001
Pierobon, 2012, Capacity of a diffusion-based molecular communication system with channel memory and molecular noise, IEEE Trans. Inform. Theory, 59, 942, 10.1109/TIT.2012.2219496
Llatser, 2012, Networking challenges and principles in diffusion-based molecular communication, IEEE Wirel. Commun., 19, 36, 10.1109/MWC.2012.6339470
Pierobon, 2011, Noise analysis in ligand-binding reception for molecular communication in nanonetworks, IEEE Trans. Signal Process., 59, 4168, 10.1109/TSP.2011.2159497
Einolghozati, 2011, Capacity of diffusion-based molecular communication with ligand receptors, 85
Mahfuz, 2014, Strength-based optimum signal detection in concentration-encoded pulse-transmitted OOK molecular communication with stochastic ligand-receptor binding, Simul. Model. Pract. Theory, 42, 189, 10.1016/j.simpat.2013.11.005
Luo, 2020
Morocho-Cayamcela, 2019, Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions, IEEE Access, 7, 137184, 10.1109/ACCESS.2019.2942390
Jagannath, 2019, Machine learning for wireless communications in the internet of things: A comprehensive survey, Ad Hoc Netw., 93, 10.1016/j.adhoc.2019.101913
Jiang, 2016, Machine learning paradigms for next-generation wireless networks, IEEE Wirel. Commun., 24, 98, 10.1109/MWC.2016.1500356WC
Kim, 2014, Symbol interval optimization for molecular communication with drift, IEEE Trans. Nanobiosci., 13, 223, 10.1109/TNB.2014.2342259
Mahfuz, 2010, Characterization of molecular communication channel for nanoscale networks, 327
Tyrrell, 2013
Milo, 2016
Lee, 2017, Machine learning based channel modeling for molecular MIMO communications, 1
Huang, 2016, Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity, J. Chem. Phys., 145, 10.1063/1.4964627
Tepekule, 2015, ISI mitigation techniques in molecular communication, IEEE Trans. Mol., Biol. Multi-Scale Commun., 1, 202, 10.1109/TMBMC.2015.2501745
Sheikholeslami, 2019