Spectrum Sharing for Secrecy Performance Enhancement in D2D-Enabled UAV Networks

Yang, Bin; Taleb, Tarik; Wu, Zhenqiang; Ma, Liang

doi:10.1109/mnet.011.2000093

Cited by 21 publications

(12 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Usually, UAV swarm needs to be deployed for supporting various applications. Specially in the area of Internet of Things (IoT), UAVs are equipped with different IoT devices (e.g., sensors and camera) to deliver numerous value-added services, while each value-added service probably requires diverse devices that may not be carried by a single UAV, which needs the involvement of UAV swarm [4], [5].…”

Section: A Motivationmentioning

confidence: 99%

Performance, Fairness, and Tradeoff in UAV Swarm Underlaid mmWave Cellular Networks With Directional Antennas

Yang

Taleb

Shen

et al. 2021

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV) swarm connected to millimeter wave (mmWave) cellular networks is emerging as a new promising solution to provide ubiquitous high-speed and long distance wireless communication services for supporting various applications. To satisfy different quality of service (QoS) requirements in future large-scale applications of such networks, this paper investigates the rate performance, fairness and their tradeoff in the networks with directional antennas in terms of sum-rate maximization, fairness index maximization, max-min fair rate and proportional fairness. We first consider a more realistic mmWave 3D directional antenna array model for UAVs and base station (BS), where the antenna gain depends on the radiation angle of the antenna array. Based on this antenna array model, we formulate the performance, fairness and their tradeoff as four constrained optimization problems, and propose corresponding iterative algorithm to solve these problems by jointly optimizing elevation angle, azimuth angle and height of antenna array at BS in the downlink transmission scenario. Furthermore, we also explore them in uplink transmission scenario, where the interference issue among links is carefully considered. Finally, according to the sum rate, minimum rate and fairness index under each optimization problem, numerical results are provided to illustrate the impacts of network parameters on the performance, fairness and their tradeoff, and also to reveal new findings under both downlink and uplink transmission scenarios, respectively.

show abstract

Section: A Motivationmentioning

confidence: 99%

Performance, Fairness, and Tradeoff in UAV Swarm Underlaid mmWave Cellular Networks With Directional Antennas

Yang

Taleb

Shen

et al. 2021

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In terms of other relevant research directions for UABS applications and the use of UAVs in PPDR more generally, there is a pressing need for further efforts on legislation to allow the deployment of single and multiple UAV applications in practice [41], [69], and advancements in the UAV device construction and robustness in particular to sustain heavy loads and detrimental weather conditions [41]. Other relevant directions include also advanced multi-source localization techniques [41], and physical and cyber security of UAV deployments in the context of PPDR [58], [69], [74]- [76].…”

Section: A Radio Access Technologiesmentioning

confidence: 99%

5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

Volk

Sterle

2021

IEEE Access

View full text Add to dashboard Cite

Today, legacy PMRs continue to be the only group of tested, verified and certified technologies for the Public Protection and Disaster Relief (PPDR) sector. For the fifth generation (5G) to follow suit, substantial hands-on experimentation with functional, architectural and deployment aspects is required, and further test trials need to take place in order to inform and enable future verification and certification procedures for 5G to become a proven PPDR technology. This paper studies 5G PPDR experimentation associated with novel virtualized and cloud-native 5G technologies, architectures and deployment options, as well as feasibility studies and field performance and verifications trials involving vertical-specific 5G infrastructures and applications. Key enabling technologies, such as massive multiple input multiple output (MIMO), device-to-device (D2D), network slicing and multi-access edge computing (MEC) are discussed and 5G PPDR architecture and deployment options are investigated. A dedicated 5G PPDR experimentation facility is presented, and a case study of hands-on experimentation is provided. Two distinct scenarios are discussed, i.e., emergency augmentation of the terrestrial 5G PPDR network with rapidly deployable on-site capacities in the area of a public safety incident, and availability and reliability of decision-support PPDR applications on the field. Experience with the deployment and verification insights are accompanied by the results of quality of service (QoS) and non-functional key performance indicators (KPI) assessment that were exhibited during the experiment. The experimentation outcomes confirm the ability of the facility to support emulated laboratory experimentation specifically designed to tackle 5G challenges for this particular vertical as well as field studies recreating realistic public safety operations.INDEX TERMS 5G, mobile communications, public safety, public protection and disaster relief, mission critical communications, network architecture, network deployment, experimentation, field trial.

show abstract

“…W IRELESS communications with assistance of unmanned aerial vehicles (UAVs) have been identified as a key technology in the next generation wireless systems due to their promising advantages of low cost and fast deployment, flexible mobility, large area coverage and line-of-sight links [1]. Recently, UAVs are widely used in search and rescue operations, firefighting, agriculture, mapping, surveying and Internet of Things (IoT) [2], [3], [4], [5]. Equipped with wireless devices, UAVs can gather/transmit data from sensing, monitoring, filming, etc.…”

Section: Introductionmentioning

confidence: 99%

Generalized Traffic Flow Model for Multi-Services Oriented UAV System

Abada¹,

Yang²,

Taleb³

2021

J-NaNA

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) are opening up new opportunities for extensive applications. The traffic flow model is critical to evaluate the traffic needs of various applications in designing and deploying UAV system. However, the traffic flow model has not been explored in multi-services oriented UAV system. To this end, this paper proposes a general traffic flow model for multi-services orientated UAV system. Under such a model, the network services are first categorized into three subsets, each corresponding to one of telemetry, Internet of Things (IoT), and streaming data. According to the Pareto distribution, all UAVs are further partitioned into three subgroups relying on their network usages. We can measure the packet arrival rate for the nine segments, each of which represents one map relationship between a services subset and a UAV subgroup. Therefore, we can also obtain the number of packets for each network service and total data size. Simulation results are presented to illustrate that the number of packets and the data size predicted by our traffic model can well match with these in real scenarios with different network services.

show abstract

Spectrum Sharing for Secrecy Performance Enhancement in D2D-Enabled UAV Networks

Cited by 21 publications

References 19 publications

Performance, Fairness, and Tradeoff in UAV Swarm Underlaid mmWave Cellular Networks With Directional Antennas

Performance, Fairness, and Tradeoff in UAV Swarm Underlaid mmWave Cellular Networks With Directional Antennas

5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

Generalized Traffic Flow Model for Multi-Services Oriented UAV System

Contact Info

Product

Resources

About