{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:22:09Z","timestamp":1742930529701,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030675493"},{"type":"electronic","value":"9783030675509"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-67550-9_16","type":"book-chapter","created":{"date-parts":[[2021,1,19]],"date-time":"2021-01-19T12:02:51Z","timestamp":1611057771000},"page":"235-249","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Low Complexity Neural Network Based Digital Predistortion for Memory Power Amplifiers"],"prefix":"10.1007","author":[{"given":"Meryem M.","family":"Benosman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hmaeid","family":"Shaiek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yassin","family":"Bendimerad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafik","family":"Zayani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Roviras","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fethi T.","family":"Bendimerad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,20]]},"reference":[{"key":"16_CR1","unstructured":"Fettweis, G., Zimmermann, E.: ICT energy consumption trends and challenges. In: 11th International Symposium on Wireless Personal Multimedia Communications (WPMC 2008)"},{"issue":"11","key":"16_CR2","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/MCOM.2016.1600336CM","volume":"54","author":"AA Zaidi","year":"2016","unstructured":"Zaidi, A.A., et al.: Waveform and numerology to support 5G services and requirements. IEEE Commun. Mag. 54(11), 90\u201398 (2016)","journal-title":"IEEE Commun. Mag."},{"key":"16_CR3","doi-asserted-by":"publisher","unstructured":"Shaiek, H., Zayani, R., Medjahdi, Y., Roviras, D.: Analytical analysis of SER for beyond 5G post-OFDM Waveforms. In: Presence of High-Power Amplifiers. IEEE Access, vol. 7, no. 1, pp. 29441\u201329452, December 2019. https:\/\/doi.org\/10.1109\/ACCESS.2019.2900977","DOI":"10.1109\/ACCESS.2019.2900977"},{"key":"16_CR4","unstructured":"Gilabert, P.-L., Montoro, G., Bertran, E.: On the Wiener and Hammerstein models for power amplifier predistortion. In: Asia-Pacific Microwave Conference Proceedings (2005)"},{"key":"16_CR5","unstructured":"Shammasi, M.-M., Safavi, M.: Performance of a predistorter based on Saleh model for OFDM systems. In: HPA nonlinearity, 14th International Conference on Advanced Communication Technology (ICACT) (2012)"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Zayani, R., Bouallegue, R. Roviras, D.: Adaptive predistortions based on neural networks associated with Levenberg-Marquardt algorithm for satellite down links. EURASIP J. Wirel. Commun. Netw. 2008 (2008). Article ID 132729, 15 pages","DOI":"10.1155\/2008\/132729"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Tarver, C., Jiang, L., Sefidi, A., Cavallaro, J.-R.: Neural network DPD via backpropagation through a neural network model of the PA. In: 53rd Asilomar Conference on Signals, Systems, and Computers (2019)","DOI":"10.1109\/IEEECONF44664.2019.9048910"},{"issue":"54","key":"16_CR8","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/TBC.2008.915770","volume":"2","author":"T Jiang","year":"2008","unstructured":"Jiang, T., Wu, Y.: An overview: peak-to-average power ratio reduction techniques for OFDM signals. IEEE Trans. Broadcast. 2(54), 257\u2013268 (2008)","journal-title":"IEEE Trans. Broadcast."},{"key":"16_CR9","unstructured":"Wunder, G.: The PAPR problem in OFDM transmission. IEEE Signal Process. Mag. 30, 130\u2013144 (2013)"},{"issue":"22","key":"16_CR10","doi-asserted-by":"publisher","first-page":"2056","DOI":"10.1049\/el:19961384","volume":"32","author":"RR-W-R Bauml","year":"1996","unstructured":"Bauml, R.R.-W.-R., Fischer, F.-H., Huber, J.-B.: Reducing the peak-to-average power ratio of multicarrier modulation by selected mapping. IEEE Electron. Lett. 32(22), 2056\u20132057 (1996)","journal-title":"IEEE Electron. Lett."},{"issue":"2","key":"16_CR11","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/MMM.2015.2498079","volume":"17","author":"A Katz","year":"2016","unstructured":"Katz, A., Wood, J., Chokola, D.: The evolution of PA linearization. IEEE Microw. Mag. 17(2), 32\u201340 (2016)","journal-title":"IEEE Microw. Mag."},{"issue":"11","key":"16_CR12","doi-asserted-by":"publisher","first-page":"1715","DOI":"10.1109\/TCOM.1981.1094911","volume":"29","author":"A-A Saleh","year":"1981","unstructured":"Saleh, A.-A.: Frequency-independent and frequency-dependent nonlinear models of TWT amplifiers. IEEE-J-COM 29(11), 1715\u20131720 (1981)","journal-title":"IEEE-J-COM"},{"key":"16_CR13","volume-title":"High-Linearity RF Amplifier Design","author":"P Kenington","year":"1999","unstructured":"Kenington, P.: High-Linearity RF Amplifier Design. Artech House, Boston (1999)"},{"issue":"2","key":"16_CR14","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1109\/TBC.2012.2189338","volume":"58","author":"M Rawat","year":"2012","unstructured":"Rawat, M., Ghannouchi, F.M.: A mutual distortion and impairment compensator for wideband direct-conversion transmitters using neural networks. IEEE Trans. Broadcast. 58(2), 168\u2013177 (2012)","journal-title":"IEEE Trans. Broadcast."},{"issue":"7","key":"16_CR15","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1109\/26.602580","volume":"45","author":"M Ibukahla","year":"1997","unstructured":"Ibukahla, M., et al.: Neural networks for modeling nonlinear memoryless communication channels. IEEE Trans. Commun. 45(7), 768\u2013771 (1997)","journal-title":"IEEE Trans. Commun."},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Benvenuto, N., Piazza, F., Uncini, A.: A neural network approach to data predistortion with memory. In: Digital Radio Systems. Proceedings of ICC 1993-IEEE International Conference on Communications, vol. 1. IEEE (1993)","DOI":"10.1109\/ICC.1993.397263"},{"issue":"1","key":"16_CR17","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1109\/TNNLS.2018.2838039","volume":"30","author":"D Wang","year":"2018","unstructured":"Wang, D., et al.: Augmented real-valued time-delay neural network for compensation of distortions and impairments. IEEE Trans. Neural Netw. Learn. Syst. 30(1), 242\u2013254 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"8","key":"16_CR18","doi-asserted-by":"publisher","first-page":"3163","DOI":"10.1109\/TMTT.2006.879134","volume":"54","author":"J Wood","year":"2006","unstructured":"Wood, J., et al.: Envelope-domain time series (ET) behavioral model of a Doherty RF power amplifier for system design. IEEE Trans. Microwave Theory Tech. 54(8), 3163\u20133172 (2006)","journal-title":"IEEE Trans. Microwave Theory Tech."},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Belkacem, O.-B., Zayani, R., Ammari, M-L., Bouallegue, R., Roviras, D.,: Neural network equalization for frequency selective nonlinear MIMO channels. In: 2012 IEEE Symposium on Computers and Communications (ISCC), pp. 000018\u2013000022, July 2012","DOI":"10.1109\/ISCC.2012.6249262"},{"issue":"3","key":"16_CR20","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/0893-6080(89)90003-8","volume":"2","author":"K-I Funahashi","year":"1989","unstructured":"Funahashi, K.-I.: On the approximate realization of continuous mappings by neural networks. Neural Netw. 2(3), 183\u2013192 (1989)","journal-title":"Neural Netw."},{"issue":"4","key":"16_CR21","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1109\/TMTT.2010.2098041","volume":"59","author":"F Mkadem","year":"2011","unstructured":"Mkadem, F., Boumaiza, S.: Physically inspired neural network model for RF power amplifier behavioral modeling and digital predistortion. IEEE Trans. Microwave Theory Tech. 59(4), 913\u2013923 (2011)","journal-title":"IEEE Trans. Microwave Theory Tech."}],"container-title":["Lecture Notes in Computer Science","Mobile, Secure, and Programmable Networking"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67550-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T17:14:40Z","timestamp":1724346880000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-67550-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030675493","9783030675509"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67550-9_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"20 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MSPN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Mobile, Secure, and Programmable Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mspn2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mspn2020.roc.cnam.fr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}