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Resource Allocation for NOMA based D2D System Using Genetic Algorithm with Continuous Pool

Title
Resource Allocation for NOMA based D2D System Using Genetic Algorithm with Continuous Pool
Author
조성현
Issue Date
2019-10
Publisher
IEEE
Citation
2019 International Conference on Information and Communication Technology Convergence (ICTC), Page. 705-707
Abstract
Resource allocation is a very crucial part of non-orthogonal multiple access(NOMA)-based device-to-device(D2D) systems. It must be fast, effective and flexible because devices, especially vehicles in the system move at high speed. In this paper, we propose a resource allocation method for NOMA-based D2D communication systems based on a genetic algorithm(GA) approach. We have designed a novel concept of genetic algorithm that is suitable for resource allocation in NOMA-based D2D systems. The proposed method quickly maximizes the total throughput of paired devices including cellular user equipment(CUE) and moving vehicles(V). The proposed method is a faster and more reasonable way to converge than an exhaustive search method, which requires up to factorial time complexity.
URI
https://ieeexplore.ieee.org/document/8939884http://repository.hanyang.ac.kr/handle/20.500.11754/122119
ISBN
978-1-7281-0893-3
DOI
10.1109/ICTC46691.2019.8939884
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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