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/8939884https://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](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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