Improved genetic algorithm based intelligent resource allocation in 5G Ultra Dense networks-Reference-Cited by-同舟云学术

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Improved genetic algorithm based intelligent resource allocation in 5G Ultra Dense networks

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Xu Shaoyi,Li Ruitao,Yang Qinghai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8370761/8376943/08377114.pdf?arnumber=8377114

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Joint Optimization of User Association and Resource Allocation in HetNets: A parameterized-DRL Approach;2024-04-18

2. Architecture Design of B5G and 6G Millimeter-Wave Radio Access Network: Using Wireless Communications to Increase Coverage, Capacity and Performance;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

3. Artificial Intelligence in 5G Planning: Optimization of EnodeB Planning Based on 4G KPIs;2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS);2023-11-02

4. Dynamic visual SLAM and MEC technologies for B5G: a comprehensive review;EURASIP Journal on Wireless Communications and Networking;2022-10-01

5. Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes;Cluster Computing;2022-05-26

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