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Although LTE-A is the foremost mobile communication standard, future underutilization of the spectrum needs to be addressed. Therefore, dynamic spectrum access is explored in this study. The performance of CR in LTE-A can significantly be enhanced by employing predictive modeling. The neural network-based channel state and idle time (CSIT) predictor is proposed in this article as a learning scheme for CR in LTE-A. This predictive-based learning is helpful in two ways: sensing only those channels that are predicted to be idle and selecting the channels for CR transmission that have the largest predicted idle time. The performance gains by exploiting CSIT prediction in CR LTE-A network are evaluated in terms of spectrum utilization, sensing energy, channel switching rate, packet loss ratio, and average instantaneous throughput. The results illustrate that significant performance is achieved by employing CSIT prediction in LTE-A network.<\/jats:p>","DOI":"10.1186\/1687-1499-2013-203","type":"journal-article","created":{"date-parts":[[2013,8,3]],"date-time":"2013-08-03T16:14:05Z","timestamp":1375546445000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["CSIT: channel state and idle time predictor using a neural network for cognitive LTE-Advanced network"],"prefix":"10.1186","volume":"2013","author":[{"given":"Adnan","family":"Shahid","sequence":"first","affiliation":[]},{"given":"Saleem","family":"Aslam","sequence":"additional","affiliation":[]},{"given":"Hyung Seok","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Kyung-Geun","family":"Lee","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,8,3]]},"reference":[{"issue":"2","key":"764_CR1","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1109\/MCOM.2010.5402669","volume":"48","author":"G Yuan","year":"2010","unstructured":"Yuan G, Zhang X, Wang W, Yang Y: Carrier aggregation for LTE-advanced mobile communication systems. 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