当前位置: X-MOL 学术Veh. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Subchannel assignment for social-assisted UAV cellular networks using dynamic hypergraph coloring
Vehicular Communications ( IF 5.8 ) Pub Date : 2024-05-29 , DOI: 10.1016/j.vehcom.2024.100808
Kanhu Charan Gouda , Sangya Shrivastava , Rahul Thakur

Device-to-Device (D2D) communication when used in conjugation with Unmanned Aerial Vehicle (UAV) Femtocell and unlicensed spectrum can effectively tackle the ever-increasing mobile data demands. However, D2D communication raises security and privacy concerns among users due to the absence of a centralized entity such as a base station. Therefore, exploring social connections among users becomes imperative to enable secure and trustworthy D2D communication. This paper seeks to improve the performance of a social-assisted UAV cellular network augmented by D2D communication by proposing a novel subchannel assignment technique employing hypergraph coloring. Considering the real-world scenario, we incorporate the user/UAV mobility by using dynamic hypergraph coloring for subchannel assignment instead of the static one. Our proposed technique shifts a set of cellular users from the licensed to the unlicensed band based on their social connection with other co-channel D2D users. Additionally, we assign subchannels to different users to optimize the throughput while minimizing overall interference. Our proposed technique demonstrates significant improvements in system throughput, energy efficiency, and interference efficiency compared to conventional techniques. For our proposed technique, we observed improvements of 69%, 42%, and 15% in the per user system throughput when compared with the conventional techniques (graph, hypergraph, and dynamic-hypergraph, respectively). Moreover, our technique achieves higher per user energy efficiency by 120%, 70%, and 25%, and higher per user interference efficiency by 92%, 43%, and 22%, respectively, compared to graph, hypergraph, and dynamic-hypergraph techniques.

中文翻译:


使用动态超图着色的社交辅助无人机蜂窝网络的子通道分配



设备到设备 (D2D) 通信与无人机 (UAV) Femtocell 和免许可频谱结合使用可以有效满足不断增长的移动数据需求。然而,由于缺乏基站等集中式实体,D2D 通信引起了用户的安全和隐私问题。因此,探索用户之间的社交联系对于实现安全且值得信赖的 D2D 通信至关重要。本文旨在通过提出一种采用超图着色的新型子通道分配技术来提高由 D2D 通信增强的社交辅助无人机蜂窝网络的性能。考虑到现实世界的场景,我们通过使用动态超图着色而不是静态着色来进行子通道分配,从而结合了用户/无人机的移动性。我们提出的技术根据一组蜂窝用户与其他同信道 D2D 用户的社交联系,将其从许可频段转移到非许可频段。此外,我们将子信道分配给不同的用户,以优化吞吐量,同时最大限度地减少总体干扰。与传统技术相比,我们提出的技术展示了系统吞吐量、能源效率和干扰效率的显着改进。对于我们提出的技术,与传统技术(分别是图、超图和动态超图)相比,我们观察到每用户系统吞吐量提高了 69%、42% 和 15%。此外,与图、超图和动态超图相比,我们的技术实现了每用户能源效率分别提高了 120%、70% 和 25%,每用户干扰效率分别提高了 92%、43% 和 22%技术。
更新日期:2024-05-29
down
wechat
bug