乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:09:03Z","timestamp":1740103743829,"version":"3.37.3"},"reference-count":22,"publisher":"Wiley","issue":"18","license":[{"start":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T00:00:00Z","timestamp":1539648000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671176"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Communication"],"published-print":{"date-parts":[[2018,12]]},"abstract":"Summary<\/jats:title>The multiuser millimeter wave (mmWave) MIMO system has been considered as a promising technology for future 5G cellular networks since high volume of data rates can be achieved by simultaneously supporting multiple users. However, the channel estimation is challenging due to the multiuser interference in frequency\u2010selective hybrid mmWave MIMO system. In this paper, we focus on the multiuser uplink wideband channel estimation with frequency selectivity. Specifically, a layer\u2010precoder reuse strategy is proposed, in which each transmission frame is divided into several subframes and the users share a common precoder at each subchannel of different subcarriers. Then, instead of only estimating channel of one user, multiuser frequency\u2010selective channel can be jointly estimated via a sparse recovery formulation. Furthermore, by exploiting the common sparsity among subchannels in frequency\u2010selective mmWave system, a distributed compressed sensing (DCS)\u2013based channel estimation is proposed to jointly acquire the channel state information of all users via weighted least square to further reduce the pilot overhead. In addition, the Cramer\u2010Rao lower bound (CRLB) is derived for multiuser frequency\u2010selective channel estimation. Simulation results demonstrate that the proposed DCS\u2010based method can asymptotically approach the CRLB of channel estimation.<\/jats:p>","DOI":"10.1002\/dac.3816","type":"journal-article","created":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T03:19:06Z","timestamp":1539746346000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Distributed compressed sensing\u2010based multiuser channel estimation for frequency\u2010selective hybrid mmWave MIMO system"],"prefix":"10.1002","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4105-5310","authenticated-orcid":false,"given":"Ruoyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Communication Research Center Harbin Institute of Technology Harbin China"}]},{"given":"Jiayan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Communication Research Center Harbin Institute of Technology Harbin China"}]},{"given":"Yulong","family":"Gao","sequence":"additional","affiliation":[{"name":"Communication Research Center Harbin Institute of Technology Harbin China"}]},{"given":"Honglin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Communication Research Center Harbin Institute of Technology Harbin China"}]}],"member":"311","published-online":{"date-parts":[[2018,10,16]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2299397"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/mop.30521"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.5783993"},{"key":"e_1_2_8_5_1","first-page":"e3469","article-title":"Hybrid channel estimation for mimo relay systems with doppler offset influences","volume":"12","author":"Kaur H","year":"2017","journal-title":"Int J Commun 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sparsity assumption of ultra wideband channels","volume":"27","author":"Baaran M","year":"2015","journal-title":"Int J Commun Syst"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2018.06.021"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2005.05.030"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2555299"},{"key":"e_1_2_8_17_1","unstructured":"Rodr\u00edguez\u2010Fern\u00e1ndezJ Gonz\u00e1lez\u2010PrelcicN VenugopalK HeathRW J.Frequency\u2010domain compressive channel estimation for frequency\u2010selective hybrid mmwave mimo systems. arXiv preprint arXiv:1704.08572;2017."},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2455980"},{"issue":"12","key":"e_1_2_8_19_1","first-page":"5406","article-title":"Distributed compressed sensing","volume":"52","author":"Baron D","year":"2006","journal-title":"IEEE Trans Inf 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