Location-aided user selection and sum-rate analysis for mmWave NOMA.

In this paper, we propose a user selection scheme based on location-aided interference prediction to reduce the training overhead in a non-orthogonal multiple access (NOMA) system. First, we cluster the users based on their location information, enabling the use of non-orthogonal pilot sequence with...

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Bibliographic Details
Main Authors: Orikumhi, Igbafe, Leow, Chee Yen, Kim, Sunwoo
Format: Article
Language:English
Published: Korean Institute of Communications and Information Sciences 2023
Subjects:
Online Access:http://eprints.utm.my/106408/1/CheeYenLeow2023_LocationAidedUserSelectionandSumRate.pdf
http://eprints.utm.my/106408/
http://dx.doi.org/10.23919/JCN.2022.000049
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