Smart City Gnosys

Smart city article details

Title	Enhancing Urllc In Integrated Aerial Terrestrial Networks: Design Insights And Performance Trade-Offs
ID_Doc	24081
Authors	Awais M.; Pervaiz H.; Jamshed M.A.; Yu W.; Ni Q.
Year	2022
Published	Proceedings - 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2022
DOI	http://dx.doi.org/10.1109/WoWMoM54355.2022.00085
Abstract	Non-orthogonal multiple access (NOMA) is a promising radio access technique that enables massive connectivity and increased spectral efficiency. The deployment of aerial base stations (ABSs) as a relay is also an optimistic goal that fairly serves a large number of internet of things (IoT) devices. On one side, ABS-assisted communication leverages effective communication services for secondary IoT devices in smart cities. On the other hand, NOMA allows several IoT devices to concurrently acquire the same frequency-time resource. To this end, weighted sum-rate (WSR) is an essential goal because it allows numerous trade-offs between user fairness and sum-rate efficiency. Therefore, this work aims to investigate the WSR for an integrated aerial terrestrial network subject to cellular power and delay constraints in downlink NOMA. Herein, a theoretical insight-based low-complexity iterative solution is provided for optimal power and blocklength allocation to achieve maximum sum-rate. For this purpose, the mixed-integer non-linear problem is formulated and a low-complexity near-optimal solution is proposed. Numerical results show that the proposed scheme achieves a near-optimal solution and outperforms baseline techniques, i.e., the performance gain of 5.18% over the legacy OMA system for NOMA with two IoT devices per subcarrier. © 2022 IEEE.
Author Keywords	future generation wireless networks; integrated aerial terrestrial network; NOMA; URLLC; Wireless transmission; WSR maximization

Similar Articles

Id	Similarity	Authors	Title	Published
34411	0.904	Waqar N.; Hassan S.A.; Mahmood A.; Gidlund M.; Jung H.	Joint Power And Beamforming Optimization Of Uav-Assisted Noma Networks For B5G-Enabled Smart Cities	6G-ABS 2021 - Proceedings of the 1st ACM Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities with 6G, Part of ACM MobiCom 2021 (2021)
40943	0.903	Sehito N.; Shouyi Y.; Alshahrani H.M.; Alamgeer M.; Dutta A.K.; Alsubai S.; Nkenyereye L.; Dhanaraj R.K.	Optimizing User Association, Power Control, And Beamforming For 6G Multi-Irs Multi-Uav Noma Communications In Smart Cities	IEEE Transactions on Consumer Electronics, 70, 3 (2024)
5302	0.888	Mayarakaca M.C.; Lee B.M.	A Survey On Non-Orthogonal Multiple Access For Unmanned Aerial Vehicle Networks: Machine Learning Approach	IEEE Access, 12 (2024)
22379	0.88	Khan W.U.; Jameel F.; Ristaniemi T.; Elhalawany B.M.; Liu J.	Efficient Power Allocation For Multi-Cell Uplink Noma Network	IEEE Vehicular Technology Conference, 2019-April (2019)
23253	0.879	DIamanti M.; Tsampazi M.; Tsiropoulou E.E.; Papavassiliou S.	Energy Efficient Multi-User Communications Aided By Reconfigurable Intelligent Surfaces And Uavs	Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021 (2021)
34410	0.876	Peng Y.; Tang J.; Yang Q.; Han Z.; Ma J.	Joint Power Allocation Algorithm For Uav-Borne Simultaneous Transmitting And Reflecting Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access System	IEEE Access, 11 (2023)
53604	0.871	Liang J.; Mo Y.; Li X.; He C.	Sum-Throughput Maximization In An Irs-Enhanced Multi-Cell Noma Wireless-Powered Communication Network	Symmetry, 17, 3 (2025)
27667	0.869	Hu J.; Xu J.; Zhao J.; Chen Y.; Huang J.	Game-Theoretical Data Offloading For Noma-Enabled Urban Internet Of Things	Wireless Communications and Mobile Computing, 2022 (2022)
41740	0.865	Ashish; Anand S.; Kumar P.	Performance Evaluation Of An Irs-Assisted Noma Communication System With Two-Way Relaying	Digital Signal Processing: A Review Journal, 166 (2025)
6128	0.865	Asemian G.; Amini M.; Kantarci B.	Active Ris-Noma Uplink In Urllc, Jamming Mitigation Via Surrogate And Deep Learning	IEEE Open Journal of the Communications Society, 6 (2025)