UAV-Direct: Facilitating D2D Communications for Dynamic and Infrastructure-Less Networking
In this paper, a new and novel approach called (Unmanned Areal Vehicle) UAV-Direct is proposed, where the UAV helps in optimizing the bandwidth and power allocations of Device-to-Device (D2D) communication. In addition to that, the UAV can play the role of a relay if needed to maintain the communication links between the devices that are out of communication ranges of each other. We design a UAV-Direct protocol to manage the resource allocations to improve the system throughput. We formulate an optimization problem that maximizes the minimum device throughput while satisfying resource allocation constraints. Since the formulated optimization problem is non-convex, we propose to solve this problem in two steps. In the first step, a Taylor series successive convex approximation solution is proposed to optimize the resource allocations. Then, we propose an efficient algorithm based on a recursive shrink-and-realign process to optimize the UAV trajectory.
A. Alsharoa and M. Yuksel, "UAV-Direct: Facilitating D2D Communications for Dynamic and Infrastructure-Less Networking," Proceedings of the 2018 ACM International Conference on Mobile Systems, Applications and Services (2018, Munich, Germany), pp. 57-62, Association for Computing Machinery (ACM), Jun 2018.
The definitive version is available at https://doi.org/10.1145/3213526.3213537
2018 ACM International Conference on Mobile Systems, Applications and Services, DroNet 2018 (2018: Jun. 10-15, Munich, Germany)
Electrical and Computer Engineering
Keywords and Phrases
Constraint satisfaction problems; Optimization; Problem solving; Resource allocation; Unmanned aerial vehicles (UAV), Communication range; D2D communications; Deviceto-device (D2D) communication; Optimization problems; Power allocations; Resource allocation constraints; Successive convex approximations; System throughput, Vehicle to vehicle communications
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2018 Association for Computing Machinery (ACM), All rights reserved.
01 Jun 2018