{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T06:36:10Z","timestamp":1769841370267,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,4,7]],"date-time":"2024-04-07T00:00:00Z","timestamp":1712448000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,7]],"date-time":"2024-04-07T00:00:00Z","timestamp":1712448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s00530-024-01305-z","type":"journal-article","created":{"date-parts":[[2024,4,7]],"date-time":"2024-04-07T13:01:15Z","timestamp":1712494875000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An efficient heuristic-aided adaptive autoencoder-based dilated DNN with attention mechanism for enhancing the performance of the MIMO system in 5G communication"],"prefix":"10.1007","volume":"30","author":[{"given":"Rajalakshmi","family":"Jeyapal","sequence":"first","affiliation":[]},{"given":"Khaled","family":"Matrouk","sequence":"additional","affiliation":[]},{"given":"Dass","family":"Purushothaman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,7]]},"reference":[{"key":"1305_CR1","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1007\/s10586-022-03609-z","volume":"26","author":"N Bacanin","year":"2023","unstructured":"Bacanin, N., Antonijevic, M., Bezdan, T., Zivkovic, M., Venkatachalam, K., Malebary, S.: Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes. Cluster Comput. 26, 587\u2013598 (2023)","journal-title":"Cluster Comput."},{"issue":"3","key":"1305_CR2","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/MCOM.2019.1800629","volume":"57","author":"M Yao","year":"2019","unstructured":"Yao, M., Sohul, M., Marojevic, V., Reed, J.H.: Artificial intelligence defined 5G radio access networks. IEEE Commun. Mag.Commun. Mag. 57(3), 14\u201320 (2019)","journal-title":"IEEE Commun. Mag.Commun. Mag."},{"issue":"5","key":"1305_CR3","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1109\/MWC.2019.1800498","volume":"26","author":"DM Gutierrez-Estevez","year":"2019","unstructured":"Gutierrez-Estevez, D.M., Gramaglia, M., De Domenico, A., Dandachi, G., Khatibi, S., Tsolkas, D., Balan, I., Garcia-Saavedra, A., Elzur, U., Wang, Y.: Artificial intelligence for elastic management and orchestration of 5G networks. IEEE Wirel. Commun.Wirel. Commun. 26(5), 134\u2013141 (2019)","journal-title":"IEEE Wirel. Commun.Wirel. Commun."},{"issue":"6","key":"1305_CR4","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/MNET.2018.1800115","volume":"32","author":"Y Fu","year":"2018","unstructured":"Fu, Y., Wang, S., Wang, C.-X., Hong, X., McLaughlin, S.: Artificial intelligence to manage network traffic of 5G wireless networks. IEEE Netw.Netw. 32(6), 58\u201364 (2018)","journal-title":"IEEE Netw.Netw."},{"key":"1305_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107045","volume":"91","author":"H Sedjelmaci","year":"2021","unstructured":"Sedjelmaci, H.: Cooperative attacks detection based on artificial intelligence system for 5G networks. Comput. Electr. Eng.. Electr. Eng. 91, 107045 (2021)","journal-title":"Comput. Electr. Eng.. Electr. Eng."},{"key":"1305_CR6","doi-asserted-by":"publisher","first-page":"106957","DOI":"10.1016\/j.comnet.2019.106957","volume":"165","author":"AA Abba Ari","year":"2019","unstructured":"Abba Ari, A.A., Gueroui, A., Titouna, C., Thiare, O., Aliouat, Z.: Resource allocation scheme for 5G C-RAN: a Swarm Intelligence based approach. Comput. Netw.. Netw. 165, 106957 (2019)","journal-title":"Comput. Netw.. Netw."},{"issue":"2","key":"1305_CR7","doi-asserted-by":"publisher","first-page":"133","DOI":"10.23919\/ICN.2021.0002","volume":"2","author":"Y Huang","year":"2021","unstructured":"Huang, Y., Liu, S., Zhang, C., You, X., Wu, H.: True-data testbed for 5G\/B5G intelligent network. Intell. Converg. Netw. 2(2), 133\u2013149 (2021)","journal-title":"Intell. Converg. Netw."},{"key":"1305_CR8","doi-asserted-by":"publisher","first-page":"223202","DOI":"10.1109\/ACCESS.2020.3043876","volume":"8","author":"C Veloso Nahum","year":"2020","unstructured":"Veloso Nahum, C., N\u00f3voa Martins Pinto, L.D., Brioso Tavares, V., Batista, P., Lins, S., Linder, N., Klautau, A.: Testbed for 5G connected artificial intelligence on virtualized networks. IEEE Access 8, 223202\u2013223213 (2020)","journal-title":"IEEE Access"},{"key":"1305_CR9","doi-asserted-by":"crossref","unstructured":"Silvia Lins, Kleber Vieira Cardoso, Cristiano Bonato Both, Luciano Mendes, Jos\u00e9 F. De Rezende, Antonio Silveira, Neiva Linder, and Aldebaro Klautau, \"Artificial Intelligence for Enhanced Mobility and 5G Connectivity in UAV-Based Critical Missions,\" IEEE Access, vol. 9, pp. 111792\u2013111801, 2021.","DOI":"10.1109\/ACCESS.2021.3103041"},{"key":"1305_CR10","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.1007\/s13042-021-01323-7","volume":"12","author":"M Almiani","year":"2021","unstructured":"Almiani, M., AbuGhazleh, A., Jararweh, Y., Razaque, A.: DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network. Int. J. Mach. Learn. Cybern.Cybern. 12, 3337\u20133349 (2021)","journal-title":"Int. J. Mach. Learn. Cybern.Cybern."},{"issue":"10","key":"1305_CR11","doi-asserted-by":"publisher","first-page":"6632","DOI":"10.1109\/TII.2019.2962035","volume":"16","author":"M Guan","year":"2020","unstructured":"Guan, M., Zhou, Wu., Cui, Y., Cao, X., Wang, Le., Ye, J., Peng, B.: Efficiency evaluations based on artificial intelligence for 5G massive MIMO communication systems on high-altitude platform stations. IEEE Trans. Industr. Inf.Industr. Inf. 16(10), 6632\u20136640 (2020)","journal-title":"IEEE Trans. Industr. Inf.Industr. Inf."},{"issue":"4","key":"1305_CR12","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1109\/LCOMM.2018.2802902","volume":"22","author":"TK Vu","year":"2018","unstructured":"Vu, T.K., Bennis, M., Debbah, M., Latva-aho, M., Hong, C.S.: Ultra-reliable communication in 5G mmWave networks: a risk-sensitive approach. IEEE Commun. Lett.Commun. Lett. 22(4), 708\u2013711 (2018)","journal-title":"IEEE Commun. Lett.Commun. Lett."},{"issue":"6","key":"1305_CR13","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1109\/TAI.2021.3108129","volume":"2","author":"A Jagannath","year":"2021","unstructured":"Jagannath, A., Jagannath, J., Melodia, T.: Redefining wireless communication for 6G: signal processing meets deep learning with deep unfolding. IEEE Trans. Artif. Intell. 2(6), 528\u2013536 (2021)","journal-title":"IEEE Trans. Artif. Intell."},{"issue":"2","key":"1305_CR14","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1109\/TBC.2018.2816786","volume":"64","author":"J Nightingale","year":"2018","unstructured":"Nightingale, J., Salva-Garcia, P., Calero, J.M.A., Wang, Q.: 5G-QoE: QoE modelling for Ultra-HD video streaming in 5G networks. IEEE Trans. Broadcast. 64(2), 621\u2013634 (2018)","journal-title":"IEEE Trans. Broadcast."},{"key":"1305_CR15","doi-asserted-by":"publisher","first-page":"137184","DOI":"10.1109\/ACCESS.2019.2942390","volume":"7","author":"ME Morocho-Cayamcela","year":"2019","unstructured":"Morocho-Cayamcela, M.E., Lee, H., Lim, W.: Machine learning for 5G\/B5G mobile and wireless communications: potential, limitations, and future directions. IEEE Access 7, 137184\u2013137206 (2019)","journal-title":"IEEE Access"},{"issue":"11","key":"1305_CR16","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1109\/LWC.2021.3101908","volume":"10","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Sun, J., Gui, G., Gacanin, H., Sari, H.: A generalized channel dataset generator for 5G new radio systems based on ray-tracing. IEEE Wirel. Commun. Lett. 10(11), 2402\u20132406 (2021)","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"1305_CR17","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1109\/OJCOMS.2022.3156473","volume":"3","author":"A Ram\u00edrez-Arroyo","year":"2022","unstructured":"Ram\u00edrez-Arroyo, A., Garc\u00eda, L., Alex-Amor, A., Valenzuela-Vald\u00e9s, J.F.: Artificial intelligence and dimensionality reduction: tools for approaching future communications. IEEE Open J. Commun. Soc. 3, 475\u2013492 (2022)","journal-title":"IEEE Open J. Commun. Soc."},{"issue":"1","key":"1305_CR18","doi-asserted-by":"publisher","first-page":"012007","DOI":"10.1088\/1742-6596\/1788\/1\/012007","volume":"1788","author":"N UlulMaslahah","year":"2021","unstructured":"UlulMaslahah, N., Alisaputra, D., Sedyadi, E.: Biod\u00e9gradation bioplastic based on arrowroot starch with glycerol plasticizer and ZnO fillers. J. Phys. Conf. Ser. 1788(1), 012007 (2021). https:\/\/doi.org\/10.1088\/1742-6596\/1788\/1\/012007","journal-title":"J. Phys. Conf. Ser."},{"issue":"1","key":"1305_CR19","doi-asserted-by":"publisher","first-page":"012029","DOI":"10.1088\/1742-6596\/2273\/1\/012029","volume":"2273","author":"J Gupta","year":"2022","unstructured":"Gupta, J., Pathak, S., Kumar, G.: Deep learning (CNN) and transfer learning: a review. J. Phys. Conf. Ser. 2273(1), 012029 (2022). https:\/\/doi.org\/10.1088\/1742-6596\/2273\/1\/012029","journal-title":"J. Phys. Conf. Ser."},{"key":"1305_CR20","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/978-981-15-7394-1_51","volume":"1248","author":"S Pathak","year":"2020","unstructured":"Pathak, S., Jain, S., Borah, S.: Clustering algorithms for MANETs: a review on design and development. Soft Comput. Tech. Appl. 1248, 563\u2013578 (2020)","journal-title":"Soft Comput. Tech. Appl."},{"key":"1305_CR21","doi-asserted-by":"publisher","first-page":"205502","DOI":"10.1109\/ACCESS.2020.3037357","volume":"8","author":"LC Mutalemwa","year":"2020","unstructured":"Mutalemwa, L.C., Shin, S.: A Classification of the enabling techniques for low latency and reliable communications in 5G and beyond: AI-enabled edge caching. IEEE Access 8, 205502\u2013205533 (2020)","journal-title":"IEEE Access"},{"key":"1305_CR22","first-page":"2022","volume":"94","author":"GP Koudouridis","year":"2022","unstructured":"Koudouridis, G.P., He, Q., D\u00e1n, G.: An architecture and performance evaluation framework for artificial intelligence solutions in beyond 5G radio access networks. EURASIP J. Wirel. Commun. Netw.Wirel. Commun. Netw. 94, 2022 (2022)","journal-title":"EURASIP J. Wirel. Commun. Netw.Wirel. Commun. Netw."},{"key":"1305_CR23","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1186\/s13638-023-02212-z","volume":"2023","author":"MA Matin","year":"2023","unstructured":"Matin, M.A., Goudos, S.K., Wan, S., Sarigiannidis, P., Tentzeris, E.M.: Artificial intelligence (AI) and machine learning (ML) for beyond 5G\/6G communications. EURASIP J. Wirel. Commun. Netw.Wirel. Commun. Netw. 2023, 22 (2023)","journal-title":"EURASIP J. Wirel. Commun. Netw.Wirel. Commun. Netw."},{"issue":"3","key":"1305_CR24","doi-asserted-by":"publisher","first-page":"4232","DOI":"10.1109\/JSYST.2020.2979044","volume":"14","author":"I Ioannou","year":"2020","unstructured":"Ioannou, I., Vassiliou, V., Christophorou, C., Pitsillides, A.: Distributed artificial intelligence solution for D2D communication in 5G networks. IEEE Syst. J. 14(3), 4232\u20134241 (2020)","journal-title":"IEEE Syst. J."},{"key":"1305_CR25","doi-asserted-by":"publisher","first-page":"23472","DOI":"10.1109\/ACCESS.2021.3051557","volume":"9","author":"J Kaur","year":"2021","unstructured":"Kaur, J., Khan, M.A., Iftikhar, M., Imran, M., UlHaq, Q.Q.: Machine learning techniques for 5G and beyond. IEEE Access 9, 23472\u201323488 (2021)","journal-title":"IEEE Access"},{"key":"1305_CR26","doi-asserted-by":"publisher","first-page":"145918","DOI":"10.1109\/ACCESS.2020.3014356","volume":"8","author":"AE Azzaoui","year":"2020","unstructured":"Azzaoui, A.E., Singh, S.K., Pan, Y., Park, J.H.: Block5GIntell: blockchain for AI-Enabled 5G networks. IEEE Access 8, 145918\u2013145935 (2020)","journal-title":"IEEE Access"},{"key":"1305_CR27","doi-asserted-by":"publisher","first-page":"102752","DOI":"10.1016\/j.adhoc.2021.102752","volume":"126","author":"T Le","year":"2022","unstructured":"Le, T., Shetty, S.: Artificial intelligence-aided privacy preserving trustworthy computation and communication in 5G-based IoT networks. Ad Hoc Netw.Netw. 126, 102752 (2022)","journal-title":"Ad Hoc Netw.Netw."},{"issue":"5","key":"1305_CR28","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1109\/MWC.2017.1600304WC","volume":"24","author":"R Li","year":"2017","unstructured":"Li, R., Zhao, Z., Zhou, X., Ding, G., Chen, Y., Wang, Z., Zhang, H.: Intelligent 5G: when cellular networks meet artificial intelligence. IEEE Wirel. Commun.Wirel. Commun. 24(5), 175\u2013183 (2017)","journal-title":"IEEE Wirel. Commun.Wirel. Commun."},{"key":"1305_CR29","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1088\/1742-6596\/1817\/1\/012013","volume":"1817","author":"MT Nazeerunnisa","year":"2021","unstructured":"Nazeerunnisa, M.T.: AI-based computation for hybrid precoding\/combining in millimeter-wave massive MIMO systems. J. Phys. Conf. Ser. 1817, 16 (2021)","journal-title":"J. Phys. Conf. Ser."},{"issue":"1","key":"1305_CR30","doi-asserted-by":"publisher","first-page":"e4649","DOI":"10.1002\/ett.4649","volume":"34","author":"S Kukade","year":"2023","unstructured":"Kukade, S., Sutaone, M.S., Patil, R.: Uplink transmission with multiuser scheduling in non-stand-alone cellular network using virtual MIMO system. Trans. Emerg. Telecommun. Technol. 34(1), e4649 (2023)","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"1305_CR31","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili, S.: The ant lion optimizer. Adv. Eng. Softw.Softw. 83, 80\u201398 (2015)","journal-title":"Adv. Eng. Softw.Softw."},{"key":"1305_CR32","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1007\/s00366-021-01438-z","volume":"38","author":"I Naruei","year":"2022","unstructured":"Naruei, I., Keynia, F.: Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems. Eng. Comput.Comput. 38, 3025\u20133056 (2022)","journal-title":"Eng. Comput.Comput."},{"issue":"7","key":"1305_CR33","doi-asserted-by":"publisher","first-page":"5109","DOI":"10.1007\/s10462-022-10138-z","volume":"55","author":"H Hussain","year":"2022","unstructured":"Hussain, H., Tamizharasan, P.S., Rahul, C.S.: Design possibilities and challenges of DNN models: a review on the perspective of end devices. Artif. Intell. Rev.. Intell. Rev. 55(7), 5109 (2022). https:\/\/doi.org\/10.1007\/s10462-022-10138-z","journal-title":"Artif. Intell. Rev.. Intell. Rev."},{"key":"1305_CR34","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/5426532","author":"Y Lin","year":"2020","unstructured":"Lin, Y., Wu, J.: A novel multichannel dilated convolution neural network for human activity recognition. Math. Probl. Eng.Probl. Eng. (2020). https:\/\/doi.org\/10.1155\/2020\/5426532","journal-title":"Math. Probl. Eng.Probl. Eng."},{"issue":"8","key":"1305_CR35","doi-asserted-by":"publisher","first-page":"e0182580","DOI":"10.1371\/journal.pone.0182580","volume":"12","author":"A Lozano-Diez","year":"2017","unstructured":"Lozano-Diez, A., Zazo, R., Toledano, D.T., Gonzalez-Rodriguez, J.: An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition. PLoS ONE 12(8), e0182580 (2017)","journal-title":"PLoS ONE"},{"issue":"7","key":"1305_CR36","doi-asserted-by":"publisher","first-page":"781","DOI":"10.3390\/math9070781","volume":"9","author":"Y Villuendas-Rey","year":"2021","unstructured":"Villuendas-Rey, Y., Vel\u00e1zquez-Rodr\u00edguez, J.L., Alanis-Tamez, M.D., Moreno-Ibarra, M.-A., Y\u00e1\u00f1ez-M\u00e1rquez, C.: Mexican axolotl optimization: a novel bioinspired heuristic. Mathematics 9(7), 781 (2021)","journal-title":"Mathematics"},{"key":"1305_CR37","doi-asserted-by":"crossref","unstructured":"Riffi, M.E., Bouzidi, M.: Discrete cuttlefish optimization algorithm to solve the travelling salesman problem, 2015 Third World Conference on Complex Systems (WCCS), (2015)","DOI":"10.1109\/ICoCS.2015.7483231"},{"key":"1305_CR38","doi-asserted-by":"publisher","unstructured":"Sinha, D., & El-Sharkawy, M. (2019). Thin MobileNet: An Enhanced MobileNet Architecture. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), 0280\u20130285. https:\/\/doi.org\/10.1109\/UEMCON47517.2019.8993089","DOI":"10.1109\/UEMCON47517.2019.8993089"},{"key":"1305_CR39","unstructured":"Elngar, A.A., Arafa, M., Fathy, A., Moustafa, B.: Image classification based on CNN: a survey (2021)"},{"issue":"1","key":"1305_CR40","doi-asserted-by":"publisher","first-page":"85","DOI":"10.26555\/jiteki.v5i2.15021","volume":"5","author":"WK Sari","year":"2020","unstructured":"Sari, W. K.,  Rin,i D. P.,  Malik, R. F.: Text Classification Using Long Short-Term Memory with GloVe Features. Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) 5(1), 85\u2013100 (2020)","journal-title":"Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01305-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-024-01305-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01305-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T17:03:30Z","timestamp":1720199010000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-024-01305-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,7]]},"references-count":40,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["1305"],"URL":"https:\/\/doi.org\/10.1007\/s00530-024-01305-z","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,7]]},"assertion":[{"value":"10 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"116"}}