Massive MIMO Channel Characterization Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/d504rp88c

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  • It has been estimated that data traffic from the different mobile devices that range from smartphones to machine-to-machine (M2M) devices will exceed 15.9 exabyte per month by the year 2018. With this immense data growth, the current wireless communication systems suffer from the scarcity of the radio spectrum and eventually cannot cope with such high demands. Massive MIMO technology is one of the most promising technologies that has the potential to be the standard technology for the next generation of wireless communication systems. This thesis aims to characterize massive MIMO channels in every possible scenario for a typical seven-cell hexagonal configuration. Each cell can be described as follows: Either 8 or 16 single-antenna mobile users. Either 64 or 128 basestation antennas. Either critically spaced or sparsely spaced antennas. Either rich or clustered scattering. Either fast fading or slow fading. Either flat or frequency selective fading. Including the attenuation due to distance and shadowing. The characterization is considered in both spatial and angular domains.
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  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Hi Mohammad, I am rejecting for the following reasons, none of the revisions noted on your pretext pages were made, affecting mainly your major name, which is Electrical and Computer Engineering, and the date of your defense, which I am going to have you use your original date, December 9, 2016, since I will be certifying your degree for that date. Things to revised are - 1) Abstract page - change Electrical Engineering to - Electrical and Computer Engineering. Change present on 2016 to read - presented on December 9, 2016 2) Copyright page - change 2016 to read - December 9, 2016 3) Title page - change Presented 2016 to - Presented December 9, 2016 4) Approval page - change presented on 2016 t0 - presented on December 9, 2016 Also first signature line should be changed to - Major Professor, representing Electrical and Computer Engineering Everything else looks good. Once revised, log back into ScholarsArchive and go to the upload page. Replace the attached file with the revised PDF and resubmit. Thanks, Julie on 2016-12-21T17:43:34Z (GMT)
  • description.provenance : Submitted by Mohammad Assiri (assirim@oregonstate.edu) on 2016-12-20T23:53:05Z No. of bitstreams: 2 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) AssiriMohammad2016.pdf: 36147736 bytes, checksum: d6e1cbd3aba076ef476809d63640e410 (MD5)
  • description.provenance : Made available in DSpace on 2016-12-28T16:41:43Z (GMT). No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) AssiriMohammad2016.pdf: 36147895 bytes, checksum: 5ce189c956c857cef31289f91b687ff0 (MD5) Previous issue date: 2016-12-09
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2016-12-22T17:09:29Z (GMT) No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) AssiriMohammad2016.pdf: 36147895 bytes, checksum: 5ce189c956c857cef31289f91b687ff0 (MD5)
  • description.provenance : Submitted by Mohammad Assiri (assirim@oregonstate.edu) on 2016-12-21T18:51:57Z No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) AssiriMohammad2016.pdf: 36147895 bytes, checksum: 5ce189c956c857cef31289f91b687ff0 (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2016-12-28T16:41:42Z (GMT) No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) AssiriMohammad2016.pdf: 36147895 bytes, checksum: 5ce189c956c857cef31289f91b687ff0 (MD5)

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