Citation: | Yangzhe LIAO, Lin LIU, Yuanyan SONG, et al., “Joint Communication-Caching-Computing Resource Allocation for Bidirectional Data Computation in IRS-Assisted Hybrid UAV-Terrestrial Network,” Chinese Journal of Electronics, vol. 33, no. 4, pp. 1093–1103, 2024 doi: 10.23919/cje.2023.00.089 |
[1] |
M. M. Azari, S. Solanki, S. Chatzinotas, et al., “Evolution of non-terrestrial networks from 5G to 6G: A Survey,” IEEE Communications Surveys & Tutorials, vol. 24, no. 4, pp. 2633–2672, 2022. doi: 10.1109/COMST.2022.3199901
|
[2] |
M. Vaezi, A. Azri, S. R. Khosravirad, et al., “Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G,” IEEE Communications Surveys & Tutorials, vol. 24, no. 2, pp. 1117–1174, 2022. doi: 10.1109/COMST.2022.3151028
|
[3] |
B. Qian, H. B. Zhou, T. Ma, et al., “Multi-operator spectrum sharing for massive IoT coexisting in 5G/B5G wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 3, pp. 881–895, 2021. doi: 10.1109/JSAC.2020.3018803
|
[4] |
T. Taleb, K. Samdanis, B. Mada, et al., “On multi-access edge computing: A survey of the emerging 5G network edge cloud architecture and orchestration,” IEEE Communications Surveys & Tutorials, vol. 19, no. 3, pp. 1657–1681, 2017. doi: 10.1109/COMST.2017.2705720
|
[5] |
A. Dallolio, G. Quintana-Diaz, E. Honoré-Livermore, et al., “A satellite-USV system for persistent observation of mesoscale oceanographic phenomena,” Remote Sensing, vol. 13, no. 16, article no. 3229, 2021. doi: 10.3390/rs13163229
|
[6] |
Q. Q. Wu, S. W. Zhang, B. X. Zheng, et al., “Intelligent reflecting surface-aided wireless communications: A tutorial,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 3313–3351, 2021. doi: 10.1109/TCOMM.2021.3051897
|
[7] |
Q. S. Ai, X. H. Qiao, Y. Z. Liao, et al., “Joint optimization of USVs communication and computation resource in IRS-aided wireless inland ship MEC networks,” IEEE Transactions on Green Communications and Networking, vol. 6, no. 2, pp. 1023–1036, 2022. doi: 10.1109/TGCN.2021.3135530
|
[8] |
Q. Q. Wu and R. Zhang, “Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,” IEEE Communications Magazine, vol. 58, no. 1, pp. 106–112, 2020. doi: 10.1109/MCOM.001.1900107
|
[9] |
S. Basharat, S. A. Hassan, H. Pervaiz, et al., “Reconfigurable intelligent surfaces: Potentials, applications, and challenges for 6G wireless networks,” IEEE Wireless Communications, vol. 28, no. 6, pp. 184–191, 2021. doi: 10.1109/MWC.011.2100016
|
[10] |
X. W. Pang, M. Sheng, N. Zhao, et al., “When UAV meets IRS: Expanding air-ground networks via passive reflection,” IEEE Wireless Communications, vol. 28, no. 5, pp. 164–170, 2021. doi: 10.1109/MWC.010.2000528
|
[11] |
Y. Liao, J. Liu, X. Chen, Y. Han, Q. Ai, and G. M. Muntean, “Energy minimization of inland waterway USVs for IRS-assisted hybrid UAV-terrestrial MEC network,” IEEE Transactions on Vehicular Technology, 2023.
|
[12] |
A. Alkhatieb, K. Rabie, X. W. Li, et al., “IRS-aided UAV for future wireless communications: A survey and research opportunities,” arXiv preprint, arXiv: 2212.06015, 2022.
|
[13] |
S. M. A. Huda and S. Moh, “Survey on computation offloading in UAV-Enabled mobile edge computing,” Journal of Network and Computer Applications, vol. 201, article no. 103341, 2022. doi: 10.1016/j.jnca.2022.103341
|
[14] |
M. Abrar, U. Ajmal, Z. M. Almohaimeed, et al., “Energy efficient UAV-enabled mobile edge computing for IoT devices: A review,” IEEE Access, vol. 9, pp. 127779–127798, 2021. doi: 10.1109/ACCESS.2021.3112104
|
[15] |
G. F. Pan, J. Ye, J. P. An, et al., “When full-duplex transmission meets intelligent reflecting surface: Opportunities and challenges,” arXiv preprint, arXiv: 2005.12561, 2020.
|
[16] |
S. Malik, P. Saxena, and Y. H. Chung, “Performance analysis of a UAV-based IRS-assisted Hybrid RF/FSO link with pointing and phase shift Errors,” Journal of Optical Communications and Networking, vol. 14, no. 4, pp. 303–315, 2022. doi: 10.1364/JOCN.451410
|
[17] |
Q. Liu, S. L. Sun, B. Rong, et al., “Intelligent reflective surface based 6G communications for sustainable energy infrastructure,” IEEE Wireless Communications, vol. 28, no. 6, pp. 49–55, 2021. doi: 10.1109/MWC.016.2100179
|
[18] |
J. R. Xu, X. Kang, R. H. X. Zhang, et al., “Joint power and trajectory optimization for IRS-aided master-auxiliary-UAV-powered IoT networks,” in 2021 IEEE Global Communications Conference, Madrid, Spain, pp. 1–6, 2021.
|
[19] |
G. J. Chen, Q. Q. Wu, R. Q. Liu, et al., “IRS aided MEC systems with binary offloading: A unified framework for dynamic IRS beamforming,” IEEE Journal on Selected Areas in Communications, vol. 41, no. 2, pp. 349–365, 2023. doi: 10.1109/JSAC.2022.3228605
|
[20] |
C. W. Wang, X. F. Yu, L. X. Xu, et al., “Multimodal semantic communication accelerated bidirectional caching for 6G MEC,” Future Generation Computer Systems, vol. 140, pp. 225–237, 2023. doi: 10.1016/j.future.2022.10.036
|
[21] |
L. T. Y. Zhang, Y. P. Sun, Z. Y. Chen, et al., “Communications-caching-computing resource allocation for bidirectional data computation in mobile edge networks,” IEEE Transactions on Communications, vol. 69, no. 3, pp. 1496–1509, 2021. doi: 10.1109/TCOMM.2020.3041343
|
[22] |
X. F. Chen, C. L. M. G. Wu, T. Chen, et al., “Age of information aware radio resource management in vehicular networks: a proactive deep reinforcement learning perspective,” IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2268–2281, 2020. doi: 10.1109/TWC.2019.2963667
|
[23] |
Y. P. Sun, L. T. Y. Zhang, Z. Y. Chen, et al., “Communications-caching-computing tradeoff analysis for bidirectional data computation in mobile edge networks,” in 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), Victoria, BC, Canada, pp. 1–5, 2020.
|
[24] |
Y. P. Sun, Z. Y. Chen, M. X. Tao, et al., “Bandwidth gain from mobile edge computing and caching in wireless multicast systems,” IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 3992–4007, 2020. doi: 10.1109/TWC.2020.2979147
|
[25] |
Y. Cheng, Y. Z. Liao, and X. J. Zhai, “Energy-efficient resource allocation for UAV-empowered mobile edge computing system,” in IEEE/ACM 13th International Conference on Utility and Cloud Computing, Leicester, UK, pp. 408–413, 2020.
|
[26] |
B. Ghojogh, A. Ghodsi, F. Karray, et al., “KKT conditions, first-order and second-order optimization, and distributed optimization: tutorial and survey,” arXiv preprint, arXiv: 2110.01858, 2021.
|
[27] |
P. Q. Huang, Y. Wang, K. Z. Wang, et al., “Differential evolution with a variable population size for deployment optimization in a UAV-Assisted IoT data collection system,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 3, pp. 324–335, 2020. doi: 10.1109/TETCI.2019.2939373
|
[28] |
M. Fu, Y. Zhou, Y. M. Shi, et al., “UAV aided over-the-air computation,” IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 4909–4924, 2022. doi: 10.1109/TWC.2021.3134327
|
[29] |
D. Ma, M. Ding, and M. Hassan, “Enhancing cellular communications for UAVs via intelligent reflective surface,” in IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, pp. 1–6, 2020.
|
[30] |
Y. Sun, P. Babu, and D. P. Palomar, “Majorization-minimization algorithms in signal processing, communications, and machine learning,” IEEE Transactions on Signal Processing, vol. 65, no. 3, pp. 794–816, 2017. doi: 10.1109/TSP.2016.2601299
|
[31] |
Y. Z. Liao, J. Y. Liu, Y. Han, et al., “Energy minimization for IRS-assisted UAV-empowered wireless communications,” in International Conference on Mobility, Sensing and Networking, Guangzhou, China, pp. 1001–1006, 2022.
|
[32] |
E. Björnson, Ö. Özdogan, and E. G. Larsson, “Intelligent reflecting surface versus decode-and-forward: How large surfaces are needed to beat relaying,” IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 244–248, 2020. doi: 10.1109/LWC.2019.2950624
|
[33] |
C. S. You, Z. Y. Kang, Y. Zeng, et al., “Enabling smart reflection in integrated air-ground wireless network: IRS Meets UAV,” IEEE Wireless Communications, vol. 28, no. 6, pp. 138–144, 2021. doi: 10.1109/MWC.001.2100148
|