{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:40:23Z","timestamp":1726044023385},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030308582"},{"type":"electronic","value":"9783030308599"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-30859-9_31","type":"book-chapter","created":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T12:03:26Z","timestamp":1568203406000},"page":"365-376","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cell State Prediction Through Distributed Estimation of Transmit Power"],"prefix":"10.1007","author":[{"given":"Muhammad Zeeshan","family":"Asghar","sequence":"first","affiliation":[]},{"given":"Farhan","family":"Azhar","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Nauman","sequence":"additional","affiliation":[]},{"given":"Nouman","family":"Ali","sequence":"additional","affiliation":[]},{"given":"Muaz","family":"Maqbool","sequence":"additional","affiliation":[]},{"given":"Muhammad Saqib","family":"Ilyas","sequence":"additional","affiliation":[]},{"given":"Mirza Mubasher","family":"Baig","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,12]]},"reference":[{"key":"31_CR1","unstructured":"3GPP: Universal Mobile Telecommunications System (UMTS); LTE; Universal Terrestrial Radio Access (UTRA) and Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Measurement Collection for Minimization of Drive Tests (MDT); Overall Description; Stage 2. Technical Specification (TS) 37.320, 3rd Generation Partnership Project (3GPP) (04 2011), version 10.1.0 Release 10"},{"issue":"3","key":"31_CR2","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1109\/LCOMM.2016.2517070","volume":"20","author":"M Alias","year":"2016","unstructured":"Alias, M., Saxena, N., Roy, A.: Efficient cell outage detection in 5G HetNets using hidden Markov model. IEEE Commun. Lett. 20(3), 562\u2013565 (2016)","journal-title":"IEEE Commun. Lett."},{"issue":"1","key":"31_CR3","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1109\/SURV.2012.021312.00116","volume":"15","author":"OG Aliu","year":"2012","unstructured":"Aliu, O.G., Imran, A., Imran, M.A., Evans, B.: A survey of self organisation in future cellular networks. IEEE Commun. Surv. Tutor. 15(1), 336\u2013361 (2012)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"31_CR4","unstructured":"Asghar, M., Nieminen, P., H\u00e4m\u00e4l\u00e4inen, S., Ristaniemi, T., Imran, M.A., H\u00e4m\u00e4l\u00e4inen, T.: Cell degradation detection based on an inter-cell approach. Int. J. Dig. Content Technol. Appl. 11 (2017)"},{"key":"31_CR5","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/978-3-319-04277-0_7","volume-title":"Mobile Networks and Management","author":"MZ Asghar","year":"2013","unstructured":"Asghar, M.Z., Fehlmann, R., Ristaniemi, T.: Correlation-based cell degradation detection for operational fault detection in cellular wireless base-stations. In: Pesch, D., Timm-Giel, A., Calvo, R.A., Wenning, B.-L., Pentikousis, K. (eds.) MONAMI 2013. LNICST, vol. 125, pp. 83\u201393. Springer, Cham (2013). \n                      https:\/\/doi.org\/10.1007\/978-3-319-04277-0_7"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Asghar, M.Z., H\u00e4m\u00e4l\u00e4inen, S., Ristaniemi, T.: Self-healing framework for LTE networks. In: 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp. 159\u2013161. IEEE (2012)","DOI":"10.1109\/CAMAD.2012.6335320"},{"key":"31_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.comnet.2017.04.053","volume":"128","author":"MZ Asghar","year":"2017","unstructured":"Asghar, M.Z., Nieminen, P., H\u00e4m\u00e4l\u00e4inen, S., Ristaniemi, T., Imran, M.A., H\u00e4m\u00e4l\u00e4inen, T.: Towards proactive context-aware self-healing for 5G networks. Comput. Netw. 128, 5\u201313 (2017). \n                      https:\/\/doi.org\/10.1016\/j.comnet.2017.04.053\n                      \n                    . \n                      http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1389128617301895\n                      \n                    , survivability Strategies for Emerging Wireless Networks","journal-title":"Comput. Netw."},{"issue":"7","key":"31_CR8","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1109\/LCOMM.2015.2426187","volume":"19","author":"I Bandera de-la","year":"2015","unstructured":"de-la Bandera, I., Barco, R., Munoz, P., Serrano, I.: Cell outage detection based on handover statistics. IEEE Commun. Lett. 19(7), 1189\u20131192 (2015)","journal-title":"IEEE Commun. Lett."},{"key":"31_CR9","unstructured":"Van den Berg, J., et al.: Self-organisation in future mobile communication networks. In: Proceedings of ICT-Mobile Summit 2008, Stockholm, Sweden, 2008 (2008)"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"Chernov, S., Cochez, M., Ristaniemi, T.: Anomaly detection algorithms for the sleeping cell detection in LTE networks. In: 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), pp. 1\u20135. IEEE (2015)","DOI":"10.1109\/VTCSpring.2015.7145707"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Combes, R., Altman, Z., Altman, E.: Self-organization in wireless networks: a flow-level perspective. In: 2012 Proceedings IEEE INFOCOM, pp. 2946\u20132950. IEEE (2012)","DOI":"10.1109\/INFCOM.2012.6195735"},{"key":"31_CR12","volume-title":"Pattern Classification and Scene Analysis","author":"RO Duda","year":"1973","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification and Scene Analysis, vol. 3. Wiley, New York (1973)"},{"key":"31_CR13","volume-title":"Wireless and Personal Communications Systems","author":"V Garg","year":"1996","unstructured":"Garg, V., Wilkes, J.E.: Wireless and Personal Communications Systems, 1st edn. Prentice Hall, Upper Saddle River (1996)","edition":"1"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Gurbani, V.K., Kushnir, D., Mendiratta, V., Phadke, C., Falk, E., State, R.: Detecting and predicting outages in mobile networks with log data. In: 2017 IEEE International Conference on Communications (ICC), pp. 1\u20137. IEEE (2017)","DOI":"10.1109\/ICC.2017.7996706"},{"issue":"3","key":"31_CR15","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/T-VT.1980.23859","volume":"29","author":"M Hata","year":"1980","unstructured":"Hata, M.: Empirical formula for propagation loss in land mobile radio services. IEEE Trans. Veh. Technol. 29(3), 317\u2013325 (1980)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"4","key":"31_CR16","doi-asserted-by":"publisher","first-page":"2451","DOI":"10.1109\/TVT.2007.912610","volume":"57","author":"RM Khanafer","year":"2008","unstructured":"Khanafer, R.M., et al.: Automated diagnosis for UMTS networks using bayesian network approach. IEEE Trans. Veh. Technol. 57(4), 2451\u20132461 (2008)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Liao, Q., Wiczanowski, M., Sta\u0144czak, S.: Toward cell outage detection with composite hypothesis testing. In: 2012 IEEE International Conference on Communications (ICC), pp. 4883\u20134887. IEEE (2012)","DOI":"10.1109\/ICC.2012.6364384"},{"key":"31_CR18","unstructured":"Ma, Y., Peng, M., Xue, W., Ji, X.: A dynamic affinity propagation clustering algorithm for cell outage detection in self-healing networks. In: 2013 IEEE Wireless Communications and Networking Conference (WCNC), pp. 2266\u20132270. IEEE (2013)"},{"key":"31_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/978-3-540-92157-8_19","volume-title":"Self-Organizing Systems","author":"CM Mueller","year":"2008","unstructured":"Mueller, C.M., Kaschub, M., Blankenhorn, C., Wanke, S.: A cell outage detection algorithm using neighbor cell list reports. In: Hummel, K.A., Sterbenz, J.P.G. (eds.) IWSOS 2008. LNCS, vol. 5343, pp. 218\u2013229. Springer, Heidelberg (2008). \n                      https:\/\/doi.org\/10.1007\/978-3-540-92157-8_19"},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"Mulvey, D., Foh, C.H., Imran, M.A., Tafazolli, R.: Cell coverage degradation detection using deep learning techniques. In: 2018 International Conference on Information and Communication Technology Convergence (ICTC), pp. 441\u2013447. IEEE (2018)","DOI":"10.1109\/ICTC.2018.8539449"},{"issue":"4","key":"31_CR21","doi-asserted-by":"publisher","first-page":"2097","DOI":"10.1109\/TVT.2015.2431371","volume":"65","author":"O Onireti","year":"2015","unstructured":"Onireti, O., et al.: A cell outage management framework for dense heterogeneous networks. IEEE Trans. Veh. Technol. 65(4), 2097\u20132113 (2015)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"31_CR22","doi-asserted-by":"crossref","unstructured":"Wang, W., Zhang, J., Zhang, Q.: Cooperative cell outage detection in self-organizing femtocell networks. In: 2013 Proceedings IEEE INFOCOM, pp. 782\u2013790. IEEE (2013)","DOI":"10.1109\/INFCOM.2013.6566865"},{"key":"31_CR23","doi-asserted-by":"crossref","unstructured":"Wang, Y., Long, P., Liu, N., Pan, Z., You, X.: A cooperative outage detection approach using an improved RBF neural network with genetic ABC algorithm. In: 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1\u20136. IEEE (2018)","DOI":"10.1109\/WCSP.2018.8555922"},{"key":"31_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, T., Feng, L., Yu, P., Guo, S., Li, W., Qiu, X.: A handover statistics based approach for cell outage detection in self-organized heterogeneous networks. In: 2017 IFIP\/IEEE Symposium on Integrated Network and Service Management (IM), pp. 628\u2013631. IEEE (2017)","DOI":"10.23919\/INM.2017.7987346"},{"issue":"3","key":"31_CR25","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1002\/ett.2971","volume":"27","author":"A Zoha","year":"2016","unstructured":"Zoha, A., Saeed, A., Imran, A., Imran, M.A., Abu-Dayya, A.: A learning-based approach for autonomous outage detection and coverage optimization. Trans. Emerg. Telecommun. Technol. 27(3), 439\u2013450 (2016)","journal-title":"Trans. Emerg. Telecommun. Technol."}],"container-title":["Lecture Notes in Computer Science","Internet of Things, Smart Spaces, and Next Generation Networks and Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30859-9_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T12:08:12Z","timestamp":1568203692000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30859-9_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030308582","9783030308599"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30859-9_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NEW2AN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Next Generation Wired\/Wireless Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"St. Petersburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"new2an2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/rusmart.e-werest.org\/2019.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","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":"50","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":"35% - 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":"6","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}