Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks. / Huq, Kazi Mohammed Saidul; Rodriguez, Jonathan; Otung, Ifiok; Zhou, Zhenyu ; Chandra, Kishor ; Mumtaz, Shahid.
2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. Dublin, Ireland : Institute of Electrical and Electronics Engineers, 2020. p. 1-6 9149150 (IEEE International Conference on Communications; Vol. 2020-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks
AU - Huq, Kazi Mohammed Saidul
AU - Rodriguez, Jonathan
AU - Otung, Ifiok
AU - Zhou, Zhenyu
AU - Chandra, Kishor
AU - Mumtaz, Shahid
PY - 2020/7/27
Y1 - 2020/7/27
N2 - Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)aided networking is becoming a prominent solution to establish emergency networks with the underlay device-to-device (D2D), which also should be energy-efficient. In this article, we study energy-efficiency (EE) maximization for interference-aware underlay D2D-enabled UAV-aided 5G systems. All the interference scenarios are taken into account while modeling the system architecture. Afterward, we formulate an objective function to optimize EE maximization, which shows the characteristic of an NP-hard nonconvex research problem. Therefore, we transform the nonconvex problem into a convex one by reformulating the constraint functions with the cubic inequality method. Several criteria are developed to satisfy the non-negativity of the reformulating constraint. This leads the problem to be solved as a convex optimization method and results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using Lagrangian dual decomposition with a projected gradient method. In the end, we analyze the convergence behavior of the studied algorithm and also compared it with another existing algorithm through numerical simulations.
AB - Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)aided networking is becoming a prominent solution to establish emergency networks with the underlay device-to-device (D2D), which also should be energy-efficient. In this article, we study energy-efficiency (EE) maximization for interference-aware underlay D2D-enabled UAV-aided 5G systems. All the interference scenarios are taken into account while modeling the system architecture. Afterward, we formulate an objective function to optimize EE maximization, which shows the characteristic of an NP-hard nonconvex research problem. Therefore, we transform the nonconvex problem into a convex one by reformulating the constraint functions with the cubic inequality method. Several criteria are developed to satisfy the non-negativity of the reformulating constraint. This leads the problem to be solved as a convex optimization method and results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using Lagrangian dual decomposition with a projected gradient method. In the end, we analyze the convergence behavior of the studied algorithm and also compared it with another existing algorithm through numerical simulations.
KW - 5G
KW - D2D
KW - Energy-Efficiency
KW - Optimization
KW - UAV
U2 - 10.1109/ICC40277.2020.9149150
DO - 10.1109/ICC40277.2020.9149150
M3 - Conference contribution
SN - 978-1-7281-5090-1
T3 - IEEE International Conference on Communications
SP - 1
EP - 6
BT - 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers
CY - Dublin, Ireland
T2 - 2020 IEEE International Conference on Communications
Y2 - 7 June 2020 through 11 June 2020
ER -
ID: 4081634