Joint Resource Allocation on Slot, Space and Power Towards Concurrent Transmissions in UAV Ad Hoc Networks

With innovative applications of unmanned aerial vehicle (UAV) ad hoc networks in various areas, their demands on broad bandwidth, large capacity and low latency become prominent. The combination of millimeter wave, directional antenna and time division multiple access techniques, which enables concu...

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Published in:	IEEE transactions on wireless communications Vol. 21; no. 10; pp. 8698 - 8712
Main Authors:	Wang, Haijun, Jiang, Bo, Zhao, Haitao, Zhang, Jiao, Zhou, Li, Ma, Dongtang, Wei, Jibo, Leung, Victor C. M.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Ad hoc networks Autonomous aerial vehicles Boresights concurrent transmission Continuity (mathematics) directional antenna Directional antennas fairness Heuristic methods Iterative methods Linear programming millimeter wave Millimeter waves Mixed integer Network latency Nonlinear programming Optimization priority Quality of service Resource allocation Resource management Search algorithms Time Division Multiple Access Transmitting antennas UAV ad hoc network Unmanned aerial vehicles
ISSN:	1536-1276, 1558-2248
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Abstract	With innovative applications of unmanned aerial vehicle (UAV) ad hoc networks in various areas, their demands on broad bandwidth, large capacity and low latency become prominent. The combination of millimeter wave, directional antenna and time division multiple access techniques, which enables concurrent transmissions, is promising to deal with it. In this paper, we study the resource allocation problem in UAV ad hoc networks. Specifically, the slot assignment, antenna boresight and transmit power are jointly optimized to promote the network capacity. First, we formulate the optimization problem as the maximization of the fairness-weighted network capacity, subject to the constraint on priority guarantee. Then, because the formulated problem is a mixed integer non-linear programming problem (MINLP), which is NP-hard, two algorithms called dual-based iterative search algorithm (DISA) and sequential exhausted allocation algorithm (SEAA) are respectively proposed to efficiently solve it with acceptable complexity. DISA slacks the MINLP into a continuous-variable optimization problem and solves it with the Lagrangian dual method in an iterative manner. As a heuristic method, SEAA schedules links sequentially, i.e., from high-priority to low-priority ones. Numerical results demonstrate that both DISA and SEAA can efficiently allocate resources for UAVs, while guaranteeing the fairness and priority of links.
AbstractList	With innovative applications of unmanned aerial vehicle (UAV) ad hoc networks in various areas, their demands on broad bandwidth, large capacity and low latency become prominent. The combination of millimeter wave, directional antenna and time division multiple access techniques, which enables concurrent transmissions, is promising to deal with it. In this paper, we study the resource allocation problem in UAV ad hoc networks. Specifically, the slot assignment, antenna boresight and transmit power are jointly optimized to promote the network capacity. First, we formulate the optimization problem as the maximization of the fairness-weighted network capacity, subject to the constraint on priority guarantee. Then, because the formulated problem is a mixed integer non-linear programming problem (MINLP), which is NP-hard, two algorithms called dual-based iterative search algorithm (DISA) and sequential exhausted allocation algorithm (SEAA) are respectively proposed to efficiently solve it with acceptable complexity. DISA slacks the MINLP into a continuous-variable optimization problem and solves it with the Lagrangian dual method in an iterative manner. As a heuristic method, SEAA schedules links sequentially, i.e., from high-priority to low-priority ones. Numerical results demonstrate that both DISA and SEAA can efficiently allocate resources for UAVs, while guaranteeing the fairness and priority of links.
Author	Leung, Victor C. M. Wang, Haijun Zhang, Jiao Zhou, Li Jiang, Bo Wei, Jibo Ma, Dongtang Zhao, Haitao
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SubjectTerms	Ad hoc networks Autonomous aerial vehicles Boresights concurrent transmission Continuity (mathematics) directional antenna Directional antennas fairness Heuristic methods Iterative methods Linear programming millimeter wave Millimeter waves Mixed integer Network latency Nonlinear programming Optimization priority Quality of service Resource allocation Resource management Search algorithms Time Division Multiple Access Transmitting antennas UAV ad hoc network Unmanned aerial vehicles
Title	Joint Resource Allocation on Slot, Space and Power Towards Concurrent Transmissions in UAV Ad Hoc Networks
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