Performance evaluation with uniform user distribution as a function of the maximum transmit power under the first setup.
Abstract:
Using unmanned aerial vehicles (UAVs) to improve the network performance has been widely discussed due to their high agility for deployment and better line-of-sight (LoS)...Show MoreMetadata
Abstract:
Using unmanned aerial vehicles (UAVs) to improve the network performance has been widely discussed due to their high agility for deployment and better line-of-sight (LoS) channels. To further improve the efficiency of using UAVs to improve the network, this paper investigates the optimization of cache-enabled air-ground integrated networks where multiple UAVs and base stations (BSs) jointly serve users. Aiming to maximize the minimum user rate of the network, we first formulate two optimization problems. The first problem considers jointly optimizing the user scheduling and association, UAV power allocation, bandwidth allocation, and UAV trajectories when the caching placement is pre-determined, and the second problem further jointly optimizes the caching placement. To solve these two problems, we propose to decompose them into sub-problems, and then solve the sub-problems iteratively to obtain the solutions. The solution approaches of each sub-problem are provided. In addition, convergences of the proposed approaches are analyzed. Simulation results show that our proposed approaches perform well and outperform the reference schemes.
Performance evaluation with uniform user distribution as a function of the maximum transmit power under the first setup.
Published in: IEEE Access ( Volume: 12)
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1.
F. Khan, “Multi-comm-core architecture for terabit-per-second wireless,” IEEE Commun. Mag., vol. 54, no. 4, pp. 124–129, Apr. 2016.
2.
H. Tataria, M. Shafi, A. F. Molisch, M. Dohler, H. Sjöland, and F. Tufvesson, “6G wireless systems: Vision, requirements, challenges, insights, and opportunities,” Proc. IEEE, vol. 109, no. 7, pp. 1166–1199, Jul. 2021.
3.
Y. Zeng, Q. Wu, and R. Zhang, “Accessing from the sky: A tutorial on UAV communications for 5G and beyond,” Proc. IEEE, vol. 107, no. 12, pp. 2327–2375, Dec. 2019.
4.
R. Ding, F. Gao, and X. S. Shen, “3D UAV trajectory design and frequency band allocation for energy-efficient and fair communication: A deep reinforcement learning approach,” IEEE Trans. Wireless Commun., vol. 19, no. 12, pp. 7796–7809, Dec. 2020.
5.
S. Jeong, O. Simeone, and J. Kang, “Mobile edge computing via a UAV-mounted cloudlet: Optimization of bit allocation and path planning,” IEEE Trans. Veh. Technol., vol. 67, no. 3, pp. 2049–2063, Mar. 2018.
6.
Q. Wu, Y. Zeng, and R. Zhang, “Joint trajectory and communication design for multi-UAV enabled wireless networks,” IEEE Trans. Wireless Commun., vol. 17, no. 3, pp. 2109–2121, Mar. 2018.
7.
N. Tafintsev, D. Moltchanov, M. Gerasimenko, M. Gapeyenko, J. Zhu, S.-P. Yeh, N. Himayat, S. Andreev, Y. Koucheryavy, and M. Valkama, “Aerial access and backhaul in mmWave B5G systems: Performance dynamics and optimization,” IEEE Commun. Mag., vol. 58, no. 2, pp. 93–99, Feb. 2020.
8.
X. Wang, M. Chen, T. Taleb, A. Ksentini, and V. C. M. Leung, “Cache in the air: Exploiting content caching and delivery techniques for 5G systems,” IEEE Commun. Mag., vol. 52, no. 2, pp. 131–139, Feb. 2014.
9.
M. Ji, G. Caire, and A. F. Molisch, “Wireless device-to-device caching networks: Basic principles and system performance,” IEEE J. Sel. Areas Commun., vol. 34, no. 1, pp. 176–189, Jan. 2016.
10.
L. Li, G. Zhao, and R. S. Blum, “A survey of caching techniques in cellular networks: Research issues and challenges in content placement and delivery strategies,” IEEE Commun. Surveys Tuts., vol. 20, no. 3, pp. 1710–1732, 3rd Quart., 2018.
11.
D. Liu, B. Chen, C. Yang, and A. F. Molisch, “Caching at the wireless edge: Design aspects, challenges, and future directions,” IEEE Commun. Mag., vol. 54, no. 9, pp. 22–28, Sep. 2016.
12.
T.-Y. Kuo, M.-C. Lee, J.-H. Kim, and T.-S. Lee, “Quality-aware joint caching, computing and communication optimization for video delivery in vehicular networks,” IEEE Trans. Veh. Technol., vol. 72, no. 4, pp. 5240–5256, Apr. 2023.
13.
M.-C. Lee and A. F. Molisch, “Optimal delay-outage analysis for noise-limited wireless networks with caching, computing, and communications,” IEEE Trans. Wireless Commun., vol. 22, no. 2, pp. 1417–1431, Feb. 2023.
14.
T. Q. Duong, K. J. Kim, Z. Kaleem, M.-P. Bui, and N.-S. Vo, “UAV caching in 6G networks: A survey on models, techniques, and applications,” Phys. Commun., vol. 51, Apr. 2022, Art. no. 101532.
15.
M. Chen, M. Mozaffari, W. Saad, C. Yin, M. Debbah, and C. S. Hong, “Caching in the sky: Proactive deployment of cache-enabled unmanned aerial vehicles for optimized quality-of-experience,” IEEE J. Sel. Areas Commun., vol. 35, no. 5, pp. 1046–1061, May 2017.
16.
T. Zhang, Y. Wang, Y. Liu, W. Xu, and A. Nallanathan, “Cache-enabling UAV communications: Network deployment and resource allocation,” IEEE Trans. Wireless Commun., vol. 19, no. 11, pp. 7470–7483, Nov. 2020.
17.
X. Xu, Y. Zeng, Y. L. Guan, and R. Zhang, “Overcoming endurance issue: UAV-enabled communications with proactive caching,” IEEE J. Sel. Areas Commun., vol. 36, no. 6, pp. 1231–1244, Jun. 2018.
18.
B. Jiang, J. Yang, H. Xu, H. Song, and G. Zheng, “Multimedia data throughput maximization in Internet-of-Things system based on optimization of cache-enabled UAV,” IEEE Internet Things J., vol. 6, no. 2, pp. 3525–3532, Apr. 2019.
19.
N. Zhao, F. Cheng, F. R. Yu, J. Tang, Y. Chen, G. Gui, and H. Sari, “Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment,” IEEE Trans. Commun., vol. 66, no. 5, pp. 2281–2294, May 2018.
20.
M. Chen, W. Saad, and C. Yin, “Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks,” IEEE Trans. Wireless Commun., vol. 18, no. 3, pp. 1504–1517, Mar. 2019.
21.
F. Cheng, G. Gui, N. Zhao, Y. Chen, J. Tang, and H. Sari, “UAV-relaying-assisted secure transmission with caching,” IEEE Trans. Commun., vol. 67, no. 5, pp. 3140–3153, May 2019.
22.
H. Wu, F. Lyu, C. Zhou, J. Chen, L. Wang, and X. Shen, “Optimal UAV caching and trajectory in aerial-assisted vehicular networks: A learning-based approach,” IEEE J. Sel. Areas Commun., vol. 38, no. 12, pp. 2783–2797, Dec. 2020.
23.
T. Zhang, Z. Wang, Y. Liu, W. Xu, and A. Nallanathan, “Caching placement and resource allocation for cache-enabling UAV NOMA networks,” IEEE Trans. Veh. Technol., vol. 69, no. 11, pp. 12897–12911, Nov. 2020.
24.
T. Zhang, Z. Wang, Y. Liu, W. Xu, and A. Nallanathan, “Joint resource, deployment, and caching optimization for AR applications in dynamic UAV NOMA networks,” IEEE Trans. Wireless Commun., vol. 21, no. 5, pp. 3409–3422, May 2022.
25.
Y. Chen, K. Liao, M. Ku, F. Tso, and G. Chen, “Mobility-aware probabilistic caching in UAV-assisted wireless D2D networks,” in Proc. IEEE Global Commun., Dec. 2019, pp. 1–6.
26.
J. Ji, K. Zhu, D. Niyato, and R. Wang, “Probabilistic cache placement in UAV-assisted networks with D2D connections: Performance analysis and trajectory optimization,” IEEE Trans. Commun., vol. 68, no. 10, pp. 6331–6345, Oct. 2020.
27.
T. Zhang, Y. Wang, W. Yi, Y. Liu, and A. Nallanathan, “Joint optimization of caching placement and trajectory for UAV-D2D networks,” IEEE Trans. Commun., vol. 70, no. 8, pp. 5514–5527, Aug. 2022.
28.
J. Ji, K. Zhu, D. Niyato, and R. Wang, “Joint cache placement, flight trajectory, and transmission power optimization for multi-UAV assisted wireless networks,” IEEE Trans. Wireless Commun., vol. 19, no. 8, pp. 5389–5403, Aug. 2020.
29.
J. Ji, K. Zhu, and L. Cai, “Trajectory and communication design for cache-enabled UAVs in cellular networks: A deep reinforcement learning approach,” IEEE Trans. Mobile Comput., vol. 22, pp. 6190–6204, Oct. 2023.
30.
P. Tseng, “Convergence of a block coordinate descent method for nondifferentiable minimization,” J. Optim. Theory Appl., vol. 109, no. 3, pp. 475–494, Jun. 2001.