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Anass Benjebbour
Researcher at NTT DoCoMo
Publications - 152
Citations - 9769
Anass Benjebbour is an academic researcher from NTT DoCoMo. The author has contributed to research in topics: MIMO & Base station. The author has an hindex of 31, co-authored 152 publications receiving 8449 citations. Previous affiliations of Anass Benjebbour include Kyoto University.
Papers
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Proceedings ArticleDOI
Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access
TL;DR: It is shown that the downlink NOMA with SIC improves both the capacity and cell-edge user throughput performance irrespective of the availability of the frequency-selective channel quality indicator (CQI) on the base station side.
Journal ArticleDOI
5G : A tutorial overview of standards, trials, challenges, deployment, and practice
Mansoor Shafi,Andreas F. Molisch,Peter J. Smith,Thomas Haustein,Peiying Zhu,Prasan De Silva,Fredrik Tufvesson,Anass Benjebbour,Gerhard Wunder +8 more
TL;DR: An overview of 5G research, standardization trials, and deployment challenges is provided, with research test beds delivering promising performance but pre-commercial trials lagging behind the desired 5G targets.
Proceedings ArticleDOI
System-level performance evaluation of downlink non-orthogonal multiple access (NOMA)
TL;DR: It is shown under multiple configurations that the system-level performance achieved by NOMA is superior to that for OMA, and key link adaptation functionalities of the LTE radio interface such as adaptive modulation and coding, time/frequency-domain scheduling, and outer loop link adaptation are shown.
Journal ArticleDOI
Design considerations for a 5G network architecture
TL;DR: A two-layer architecture is proposed, consisting of a radio network and a network cloud, integrating various enablers such as small cells, massive MIMO, control/user plane split, NFV, and SDN, to address the challenges placed on 5G mobile networks.
Proceedings ArticleDOI
Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access
TL;DR: System-level performance of NOMA is provided taking into account practical aspects of the cellular system and some of the key parameters and functionalities of the LTE radio interface such as adaptive modulation and coding (AMC) and frequency-domain scheduling.