Lidé

BSc. Mohammadsaleh Nikooroo, M. Phil.

Všechny publikace

On Energy Consumption of Airship-Based Flying Base Stations Serving Mobile Users

  • DOI: 10.1109/TCOMM.2022.3196654
  • Odkaz: https://doi.org/10.1109/TCOMM.2022.3196654
  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    Flying base stations (FlyBSs) can serve space-time varying heterogeneous traffic in the areas, where a deployment of conventional static base stations is uneconomical or unfeasible. We focus on energy consumption of the FlyBSs serving moving users. For such scenario, rotary-wing FlyBSs are not efficient due to a high energy consumption while hovering at a fixed location. Hence, we consider airship-based FlyBSs. For these, we derive an analytical relation between the sum capacity of the users and the energy spent for flying. We show theoretical bounds of potential energy saving with respect to a relative sum capacity guarantee to the users for single FlyBS. Then, we generalize the problem towards multiple FlyBSs and we propose an algorithm minimizing the energy consumption of the FlyBSs serving moving users under a constraint on the minimum relative sum capacity guarantee. The proposed algorithm reduces the energy consumed by the airship-based FlyBSs for flying by dozens of percent at a cost of only a marginal and controlled degradation in the sum capacity. For example, if the degradation in the sum capacity up to 1% is allowed, 55.4%, 67.5%, and 90.7% of the energy is saved if five, three, and one FlyBSs are deployed, respectively.

Optimal Positioning of Flying Base Stations and Transmission Power Allocation in NOMA Networks

  • DOI: 10.1109/TWC.2021.3103639
  • Odkaz: https://doi.org/10.1109/TWC.2021.3103639
  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    Unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) are considered as an efficient tool to enhance the capacity of future mobile networks and to facilitate the communication in emergency cases. These benefits are, however, conditioned by an efficient control of the FlyBSs and management of radio resources. In this paper, we propose a novel solution jointly selecting the optimal clusters of an arbitrary number of the users served at the same time-frequency resources by means of non-orthogonal multiple access (NOMA), allocating the optimal transmission power to each user, and determining the position of the FlyBS. This joint problem is constrained with the FlyBS's propulsion power consumed for flying and with a continuous guarantee of a minimum required capacity to each mobile user. The goal is to enhance the duration of a communication coverage in NOMA defined as the time interval within which the FlyBS always provides the minimum required capacity to all users. The proposed solution clusters the users and allocates the transmission power of the FlyBS to the users efficiently so that the communication coverage provided by the FlyBSs is extended by 67%-270% comparing to existing solutions while the propulsion power is not increased.

Optimization of Total Power Consumed by Flying Base Station Serving Mobile Users

QoS-Aware Sum Capacity Maximization for Mobile Internet of Things Devices Served by UAVs

  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    The use of unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) is considered as an effective tool to improve performance of the mobile networks. Nevertheless, such potential improvement requires an efficient positioning of the FlyBS. In this paper, we maximize the sum downlink capacity of the mobile Internet of Things devices (IoTD) served by the FlyBSs while a minimum required capacity to every device is guaranteed. To this end, we propose a geometrical approach allowing to derive the 3D positions of the FlyBS over time as the IoTDs move and we determine the transmission power allocation for the IoTDs. The problem is formulated and solved under practical constraints on the FlyBS’s transmission and propulsion power consumption as well as on flying speed. The proposedsolution is of a low complexity and increases the sum capacity by 15%-46% comparing to state-of-the-art works.

Sum Capacity Maximization in Multi-Hop Mobile Networks with Flying Base Stations

  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    Deployment of multi-hop network of unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) presents a remarkable potential to effectively enhance the performance of wireless networks. Such potential enhancement, however, relies on an efficient positioning of the FlyBSs as well as a management of resources. In this paper, we study the problem of sum capacity maximization in an extended model for mobile networks where multiple FlyBSs are deployed between the ground base station and the users. Due to an inclusion of multiple hops, the existing solutions for two-hop networks cannot be applied due to the incurred backhaul constraints for each hop. To this end, we propose ananalytical approach based on an alternating optimization of the FlyBSs’ 3D positions as well as the association of the users to the FlyBSs over time. The proposed optimization is provided under practical constraints on the FlyBS’s flying speed and altitude as well as the constraints on the achievable capacityat the backhaul link. The proposed solution is of a low complexity and extends the sum capacity by 23%-38% comparing to state-of-the-art solutions.

Optimization of Transmission Power for NOMA in Networks with Flying Base Stations

  • DOI: 10.1109/VTC2020-Fall49728.2020.9348645
  • Odkaz: https://doi.org/10.1109/VTC2020-Fall49728.2020.9348645
  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    Deployment of unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs) is considered as an efficient tool to enhance capacity of mobile networks and to facilitate communication in emergency cases. The improvement provided by such network requires a dynamic positioning of the FlyBSs with respect to the mobile users. In this paper, we focus on an optimization of transmission power of the FlyBS in networks with non-orthogonal multiple access (NOMA). We propose a solution jointly positioning the FlyBS and selecting the optimal grouping of users for NOMA in order to minimize the FlyBS’s transmission power under the constraint on guaranteeing a minimum required capacity for the mobile users. Moreover, we derive the grouping of users corresponding to the optimal transmission power in a low-degree polynomial time, which makes it suitable for realtime applications. According to the simulations, the proposed method brings up to 31% of FlyBS’s transmission power saving compared to existing solutions.

Optimizing Transmission and Propulsion Powers for Flying Base Stations

  • DOI: 10.1109/WCNC45663.2020.9120772
  • Odkaz: https://doi.org/10.1109/WCNC45663.2020.9120772
  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    Unmanned aerial vehicles acting as flying base stations (FlyBSs) have been considered as an efficient tool to enhance capacity of mobile networks and to facilitate communication in emergency cases. The enhancement provided by such network necessitates a dynamic positioning of the FlyBSs with respect to the users. Despite that, the power consumption of the FlyBS remains an important issue to be addressed due to limitations on the capacity of FlyBS's batteries. In this paper, we propose a novel solution combining a transmission power control and the positioning of the FlyBS in order to ensure quality of service to the users while minimizing total consumed power of the FlyBS. We derive a closed-form solution for joint transmission and propulsion power optimization in a single future step. Moreover, we also provide a numerical method to solve the joint propulsion and transmission power optimization problem when a realistic (i.e. inaccurate) prediction of the users' movement is available. According to the simulations, the proposed scheme brings up to 26% of total FlyBS's power saving compared to existing solutions.

Reducing Energy Consumed by Repositioning of Flying Base Stations Serving Mobile Users

  • DOI: 10.1109/WCNC45663.2020.9120682
  • Odkaz: https://doi.org/10.1109/WCNC45663.2020.9120682
  • Pracoviště: Katedra telekomunikační techniky
  • Anotace:
    Unmanned Aerial Vehicles (UAVs), acting as flying base stations (FlyBSs), are seen as a promising solution for future mobile networks, as the FlyBSs can serve space and time varying heterogeneous traffic in areas where deployment of conventional static base stations is uneconomical or infeasible. However, an energy consumption of the FlyBSs is a critical issue. In this paper, we target a scenario where the FlyBSs serve slowly moving users, e.g., visitors of an outdoor music festival or a performance. In such scenario, rotary-wing FlyBSs are not efficient due to a high energy consumption while not moving (given by an effect of a ”helicopter” dynamics). Hence, we consider small airships or balloons. We develop a closed-form solution that determines new positions of the FlyBSs so that the energy consumption for a movement of the FlyBSs is reduced significantly (by 45- 94% depending on the number of deployed FlyBSs) while sum capacity of the users is decreased only marginally (less than 1% for before-mentioned energy savings). Moreover, the proposed solution does not require any prediction of users’ movement, thus, it is not affected by the prediction error or uncertainty of the users’ behavior.

Joint Positioning of UAV and Power Control for Flying Base Stations in Mobile Networks

Za stránku zodpovídá: Ing. Mgr. Radovan Suk