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2019

Fast Uplink Grant for NOMA: a Federated Learning based Approach

Habachi, Oussama, Adjif, Mohamed-Ali, Cances, Jean-Pierre

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Recently, non-orthogonal multiple access (NOMA) technique have emerged and is being considered as a building block of 5G systems and beyond.

In this paper, we focus on the resource allocation for NOMA-based systems and we investigate how Machine Type Devices (MTDs) can be arranged into clusters.
Specifically , we propose three allocation technique to enable the integration of massive NOMA-based MTD in the 5G.
Firstly, we propose a low-complexity schema where the BS assigns an MTD to a cluster based on its CSI and transmit power in order to ensure that the SIC can be performed in the uplink as well as the downlink.

Fast Uplink Grant for NOMA: a Federated Learning based Approach · Around

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Wireless Communications
Andrea Goldsmith · 2005
Earlier work this paper cites.
Power division multiplexing
W. Han and X. Ma · 2016
Earlier work this paper cites.
Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (noma) systems
M. S. Ali, H. Tabassum, and E. Hossain · 2016
Earlier work this paper cites.

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Trellis coded modulation for code-domain non-orthogonal multiple access networks
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Distributed layered grant-free non-orthogonal multiple access for massive mtc
H. Jiang, Q. Cui, Y. Gu, X. Qin, X. Zhang, and X. Tao · 2018
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