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The main design target of NB\u2010IoT was to enhance radio coverage by repeating signal over an additional period of time for the ultralow\u2010end IoT devices that would be operated in extreme coverage environments. But the power efficiency of the low\u2010cost NB\u2010IoT user equipment (NB\u2010IoT UE) in the uplink is the major concern. Coverage improvement from signal repetitions depends on the channel estimation quality at extremely bad radio conditions. The typical operating signal\u2010to\u2010noise ratio (SNR) for NB\u2010IoT is expected to be much lower than the zero. In this paper, we have proposed two efficient narrowband demodulation reference signal (NDMRS)\u2010assisted channel estimation algorithms based on the conventional least squares (LS) and minimum mean square error (MMSE) estimation methods. The theoretical analysis and the link\u2010level performance of our proposed estimation methods are presented. Simulation results exhibit that the proposed methods provide better estimation precision compared to the traditional LS and MMSE methods at the low SNR situations. Furthermore, we have analyzed the raised\u2010cosine (RC) and square\u2010root\u2010raised cosine (RRC) pulse shaping to reduce peak\u2010to\u2010average power ratio (PAPR) as an uplink transmit filter. The PAPR values are evaluated through extensive computer simulations for both single\u2010tone and multi\u2010tone transmissions. Our evaluation results vindicate that the RRC pulse shaping with lower PAPR values is feasible to design of practical NB\u2010IoT uplink transmitter and increases power efficiency.<\/jats:p>","DOI":"10.1155\/2018\/2570165","type":"journal-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T23:32:48Z","timestamp":1530833568000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Channel Estimation and Peak\u2010to\u2010Average Power Ratio Analysis of Narrowband Internet of Things Uplink Systems"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6253-5519","authenticated-orcid":false,"given":"Md Sadek","family":"Ali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md Khalid Hossain","family":"Jewel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1357-3935","authenticated-orcid":false,"given":"Oluwole John","family":"Famoriji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fujiang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,7,5]]},"reference":[{"key":"e_1_2_9_1_2","article-title":"Popular Internet of Things forecast of 50 billion devices by 2020 is outdated","author":"Nordrum A.","year":"2016","journal-title":"IEEE Spectrum"},{"key":"e_1_2_9_2_2","unstructured":"Cellular networks for massive IoT-enabling low power wide area applications Ericsson White paper 2016 https:\/\/www.ericsson.com\/res\/docs\/whitepapers\/wp_iot.pdf."},{"key":"e_1_2_9_3_2","doi-asserted-by":"crossref","unstructured":"Diaz-ZayasA. 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