[en] The recent combination of ambient backscatter communication (ABC) with non-orthogonal multiple access (NOMA) has shown great potential for connecting large-scale Internet of Things (IoT) in future unmanned aerial vehicle (UAV) networks. The basic idea of ABC is to provide battery-free transmission by harvesting the energy of existing RF signals of WiFi, TV towers, and cellular base stations/UAV. ABC uses smart sensor tags to modulate and reflect data among wireless devices. On the other side, NOMA makes possible the communication of more than one IoT on the same frequency. In this work, we provide an energy efficient transmission design ABC-aided UAV network using NOMA. This work aims to optimize the power consumption of a UAV system while ensuring the minimum data rate of IoT. Specifically, the transmit power of UAVs and the reflection coefficient of the ABC system are simultaneously optimized under the assumption of imperfect channel state information (CSI). Due to co-channel interference among UAVs, imperfect CSI, and NOMA interference, the joint optimization problem is formulated as non-convex, which involves high complexity and makes it hard to obtain the optimal solution. Thus, it is first transformed and then solved by a sub-gradient method with low complexity. In addition, a conventional NOMA UAV framework is also studied for comparison without involving ABC. Numerical results demonstrate the benefits of using ABC in a NOMA UAV network compared to the conventional UAV framework.
Disciplines :
Electrical & electronics engineering
Author, co-author :
AlJubayrin, Saad
Al-Wesabi, Fahd N.
Alsolai, Hadeel
Al Duhayyim, Mesfer
K. Nour, Mohamed
Khan, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Mahmood, Asad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Rabie, Khaled
Shongwe, Thokozani
External co-authors :
yes
Language :
English
Title :
Energy Efficient Transmission Design for NOMA Backscatter-Aided UAV Networks with Imperfect CSI
Alternative titles :
[en] Energy Efficient Transmission Design for NOMA Backscatter-Aided UAV Networks with Imperfect CSI
Giordani M. Polese M. Mezzavilla M. Rangan S. Zorzi M. Toward 6G networks: Use cases and technologies IEEE Commun. Mag. 2020 58 55 61 10.1109/MCOM.001.1900411
Khan W.U. Lagunas E. Ali Z. Javed M.A. Ahmed M. Chatzinotas S. Ottersten B. Popovski P. Opportunities for physical layer security in UAV communication enhanced with intelligent reflective surfaces arXiv 2022 2203.16907
Khan W.U. Ihsan A. Nguyen T.N. Javed M.A. Ali Z. NOMA-enabled backscatter communications for green transportation in automotive-Industry 5.0 IEEE Trans. Ind. Inform. 2020 10.1109/TII.2022.3161029
Sarieddeen H. Saeed N. Al-Naffouri T.Y. Alouini M.S. Next generation terahertz communications: A rendezvous of sensing, imaging, and localization IEEE Commun. Mag. 2020 58 69 75 10.1109/MCOM.001.1900698
Khan W.U. Jameel F. Li X. Bilal M. Tsiftsis T.A. Joint spectrum and energy optimization of NOMA-enabled small-cell networks with QoS guarantee IEEE Trans. Veh. Technol. 2021 70 8337 8342 10.1109/TVT.2021.3095955
Fotouhi A. Qiang H. Ding M. Hassan M. Giordano L.G. Garcia-Rodriguez A. Yuan J. Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges IEEE Commun. Surv. Tutor. 2019 21 3417 3442 10.1109/COMST.2019.2906228
Ali Z. Farooq W. Khan W.U. Qureshi M. Sidhu G.A.S. Artificial intelligence techniques for rate maximization in interference channels Phys. Commun. 2021 47 101294 10.1016/j.phycom.2021.101294
Van Huynh N. Hoang D.T. Lu X. Niyato D. Wang P. Kim D.I. Ambient backscatter communications: A contemporary survey IEEE Commun. Surv. Tutor. 2018 20 2889 2922 10.1109/COMST.2018.2841964
Yan C. Fu L. Zhang J. Wang J. A comprehensive survey on UAV communication channel modeling IEEE Access 2019 7 107769 107792 10.1109/ACCESS.2019.2933173
Khuwaja A.A. Chen Y. Zhao N. Alouini M.S. Dobbins P. A survey of channel modeling for UAV communications IEEE Commun. Surv. Tutor. 2018 20 2804 2821 10.1109/COMST.2018.2856587
Wu Y. Yang W. Guan X. Wu Q. Uav-enabled relay communication under malicious jamming: Joint trajectory and transmit power optimization IEEE Trans. Veh. Technol. 2021 70 8275 8279 10.1109/TVT.2021.3089158
Ihsan A. Chen W. Asif M. Khan W.U. Li J. Energy-efficient IRS-aided NOMA beamforming for 6G wireless communications arXiv 2022 2203.16099
Haider S.K. Jiang A. Almogren A. Rehman A.U. Ahmed A. Khan W.U. Hamam H. Energy efficient UAV flight path model for cluster head selection in next-generation wireless sensor networks Sensors 2021 21 8445 10.3390/s21248445
Xu Y. Qin Z. Gui G. Gacanin H. Sari H. Adachi F. Energy efficiency maximization in NOMA enabled backscatter communications with QoS guarantee IEEE Wirel. Commun. Lett. 2020 10 353 357 10.1109/LWC.2020.3031042
Jameel F. Khan W.U. Shah S.T. Ristaniemi T. Towards intelligent IoT networks: Reinforcement learning for reliable backscatter communications Proceedings of the IEEE Globecom Workshops (GC Wkshps) Waikoloa, HI, USA 9–13 December 2019 1 6
Khan W.U. Li X. Zeng M. Dobre O.A. Backscatter-enabled NOMA for future 6G systems: A new optimization framework under imperfect SIC IEEE Commun. Lett. 2021 25 1669 1672 10.1109/LCOMM.2021.3052936
Liao Y. Yang G. Liang Y.C. Resource allocation in NOMA-enhanced full-duplex symbiotic radio networks IEEE Access 2020 8 22709 22720 10.1109/ACCESS.2020.2967153
Yang G. Yuan D. Liang Y.C. Zhang R. Leung V.C. Optimal resource allocation in full-duplex ambient backscatter communication networks for wireless-powered IoT IEEE Internet Things J. 2018 6 2612 2625 10.1109/JIOT.2018.2872515
Khan W.U. Jameel F. Ihsan A. Waqar O. Ahmed M. Joint optimization for secure ambient backscatter communication in NOMA-enabled IoT networks Digit. Commun. Netw. 2022 10.1016/j.dcan.2022.03.017
Zhuang Y. Li X. Ji H. Zhang H. Leung V.C. Optimal resource allocation for RF-powered underlay cognitive radio networks with ambient backscatter communication IEEE Trans. Veh. Technol. 2020 69 15216 15228 10.1109/TVT.2020.3037152
Xu Y. Gu B. Hu R.Q. Li D. Zhang H. Joint computation offloading and radio resource allocation in MEC-based wireless-powered backscatter communication networks IEEE Trans. Veh. Technol. 2021 70 6200 6205 10.1109/TVT.2021.3077094
Khan W.U. Imtiaz N. Ullah I. Joint optimization of NOMA-enabled backscatter communications for beyond 5G IoT networks Internet Technol. Lett. 2021 4 e265 10.1002/itl2.265
Li X. Zheng Y. Khan W.U. Zeng M. Li D. Ragesh G.K. Li L. Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things IEEE Trans. Green Commun. Netw. 2021 5 1066 1076 10.1109/TGCN.2021.3062060
Ahmed M. Khan W.U. Ihsan A. Li X. Li J. Tsiftsis T.A. Backscatter sensors communication for 6G low-powered NOMA-enabled IoT networks under imperfect SIC arXiv 2021 2109.12711
Khan W.U. Nguyen T.N. Jameel F. Jamshed M.A. Pervaiz H. Javed M.A. Jäntti R. Learning-based resource allocation for backscatter-aided vehicular networks IEEE Trans. Intell. Transp. Syst. 2021 10.1109/TITS.2021.3126766
Jameel F. Khan W.U. Jamshed M.A. Pervaiz H. Abbasi Q. Jäntti R. Reinforcement learning for scalable and reliable power allocation in SDN-based backscatter heterogeneous network Proceedings of the IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Toronto, ON, Canada 6–9 July 2020 1069 1074
Hua M. Yang L. Li C. Wu Q. Swindlehurst A.L. Throughput maximization for UAV-aided backscatter communication networks IEEE Trans. Commun. 2020 68 1254 1270 10.1109/TCOMM.2019.2953641
Farajzadeh A. Ercetin O. Yanikomeroglu H. UAV data collection over NOMA backscatter networks: UAV altitude and trajectory optimization Proceedings of the IEEE International Conference on Communications (ICC) Shanghai, China 20–24 May 2019 1 7
Tran-Dinh H. Gautam S. Chatzinotas S. Ottersten B. Throughput Maximization for Backscatter-and Cache-Assisted Wireless Powered UAV Technology IEEE Trans. Veh. Technol. 2022 71 5187 5202 10.1109/TVT.2022.3155190
Han R. Bai L. Wen Y. Liu J. Choi J. Zhang W. UAV-aided backscatter communications: Performance analysis and trajectory optimization IEEE J. Sel. Areas Commun. 2021 39 3129 3143 10.1109/JSAC.2021.3088676
Hu J. Cai X. Yang K. Joint trajectory and scheduling design for UAV aided secure backscatter communications IEEE Wirel. Commun. Lett. 2020 9 2168 2172 10.1109/LWC.2020.3016174
Yang S. Deng Y. Tang X. Ding Y. Zhou J. Energy efficiency optimization for UAV-assisted backscatter communications IEEE Commun. Lett. 2019 23 2041 2045 10.1109/LCOMM.2019.2931900
Yang G. Dai R. Liang Y.C. Energy-efficient UAV backscatter communication with joint trajectory design and resource optimization IEEE Trans. Wirel. Commun. 2020 20 926 941 10.1109/TWC.2020.3029225
Hua M. Swindlehurst A.L. Li C. Yang L. UAV-aided backscatter networks: Joint UAV trajectory and protocol design Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM) Waikoloa, HI, USA 9–13 December 2019
Zamani M.R. Eslami M. Khorramizadeh M. Ding Z. Energy-efficient power allocation for NOMA with imperfect CSI IEEE Trans. Veh. Technol. 2018 68 1009 1013 10.1109/TVT.2018.2882500
Ihsan A. Chen W. Zhang S. Xu S. Energy-efficient NOMA multicasting system for beyond 5G cellular V2X communications with imperfect CSI IEEE Trans. Intell. Transp. Syst. 2021 10.1109/TITS.2021.3095437