Trajectory Optimization and Resource Allocation for Multi-User OFDMA UAV Relay Networks

Zeng, Shuhao; Zhang, Hongliang; Song, Lingyang

doi:10.1109/globecom38437.2019.9014105

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Besides optimal initial positioning, trajectory optimization (i.e., a series of discrete points of a flying path that drones follow in a continuous movement while providing wireless network coverage [4]) has also been widely 2 Wireless Communications and Mobile Computing addressed, mainly focusing on energy efficiency. Chakareski et al [26] proposed an energy-efficient framework for deploying mmWave 5G cellular networks, in [27,28], the authors proposed a joint optimization problem for trajectory and power allocation, and finally, [29,30] present a joint spectrum and energy efficiency optimization problem. Through put maximization optimization via trajectory has also been proposed in several works.…”

Section: Related Workmentioning

confidence: 99%

QoS-Aware Multilayer UAV Deployment to Provide VoWiFi Service over 5G Networks

Mayor

Estepa

2022

Wireless Communications and Mobile Computing

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Drones equipped with wireless network cards can provide communication services in open areas. This paper proposes a hierarchical two-layered network architecture with two types of drones according to their communication equipment: Access and Distribution. While access drones provide WiFi access to ground users, distribution drones act as WiFi-to-5G relay forwarding packets into the 5G Core Network. In this context, we formulate a novel optimization problem for the 3-D initial placement of drones to provide Voice over WiFi (VoWiFi) service to ground users. Our optimization problem finds the minimum number of drones (and their type and location) to be deployed constrained to coverage and minimum voice speech quality. We have used a well-known metaheuristic algorithm (Particle Swarm Optimization) to solve our problem, examining the results obtained for different terrain sizes (from 25 m × 25 m to 100 m × 100 m ) and ground users (from 10 to 100 ). In the most demanding case, we were able to provide VoWiFi service with four distribution drones and five access drones. Our results show that the overall number of UAVs deployed grows with the terrain size (i.e., with users’ sparsity) and the number of ground users.

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Section: Related Workmentioning

confidence: 99%

QoS-Aware Multilayer UAV Deployment to Provide VoWiFi Service over 5G Networks

Mayor

Estepa

2022

Wireless Communications and Mobile Computing

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“…In these scenarios, we can let the UAV act as a relay to provide information transmission services, which can not only improve the communication quality, but also expand the communication distance. It is worth noting that there are two types of UAV relay, one type is static relay [10]- [13] and the other is dynamic relay [14]- [18]. The research aim of the static relay is to find the best hover point in the wireless communication network, so as to enhance the overall system performance.…”

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confidence: 99%

“…In recent years, a UAV-enabled mobile relay has become a research hotspot, and has been widely concerned by scholars and experts [14]- [18]. In [14], the authors researched the problem of throughput maximization by constructing an UAV to act as a mobile relay.…”

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confidence: 99%