Grant-Free Resource Allocation for NOMA V2X Uplink Systems Using a Genetic Algorithm Approach

Grant-Free Resource Allocation for NOMA V2X Uplink Systems Using a Genetic Algorithm Approach

While NOMA-V2V (non-orthogonal multiple accesscan-vehicle-to-vehicle) effectively achieve massive connectivity requirements in 5G network systems, minimizing communication latency is a very crucial challenge. To address the latency problem, we propose a channel allocation method called hyper-fractio...

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Bibliographic Details
Main Authors: Sol Lee, Jeehyeong Kim, Joohan Park, Sunghyun Cho
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
NOMA
V2V
V2I
resource allocation
hyper-fraction
genetic algorithm
Online Access:https://www.mdpi.com/2079-9292/9/7/1111

Internet

https://www.mdpi.com/2079-9292/9/7/1111

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