Maximization of instantaneous transmission rate in unmanned aerial vehicles‐supported self‐organized device‐to‐device network

2021 ◽  
Author(s):  
Abhishek Mondal ◽  
Ashraf Hossain
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Transmission Rate ◽  
Self Organized ◽  
Aerial Vehicles ◽  
Device To Device

scholarly journals Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5476
Author(s):  
Jupeng Ding ◽  
Hongye Mei ◽  
Chih-Lin I ◽  
Hui Zhang ◽  
Wenwen Liu
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Transmission Rate ◽  
Experimental Testing ◽  
High Reliability ◽  
Communication Link ◽  
Optical Wireless ◽  
Wireless Technology ◽  
Technical Problems ◽  
Practical Applications ◽  
Aerial Vehicles

With the continuous maturity of unmanned aerial vehicles (UAV) in materials, communications, and other related technologies, the UAV industry has developed rapidly in recent years. In order to cope with the diversified emerging business forms, the explosive growth of the scale of data traffic, number of terminal connections, high reliability, low-latency, and high transmission rate provided by the fifth generation (5G) network will inject new vitality into the development of the UAVs industry. In this paper, optical wireless technology is introduced into the UAV platform, combining theory with practical applications. We explain many research advances and key technologies in the four aspects of “air, space, earth, and sea” to achieve a strong and broadband communication link. This discussion focuses on link modeling, parameter optimization, experimental testing, and the status quo of UAVs in different application scenarios with optical wireless link configurations. At the same time, based on the current situation of UAV optical wireless technology, the technical problems and the research direction in the future are also discussed.

scholarly journals Joint Optimization Framework For Maximization of Instantaneous Transmission Rate In Signal To Interference Noise Ratio Constrained UAVs-Supported Self-Organized Device-To-Device Network

2021 ◽  
Author(s):  
Abhishek Mondal ◽  
Ashraf Hossain
Keyword(s):  
Optimization Problems ◽  
Transmission Rate ◽  
Signal Propagation ◽  
Joint Optimization ◽  
Current Policy ◽  
Optimization Framework ◽  
Self Organized ◽  
Interference Noise ◽  
Device To Device ◽  
Noise Ratio

Abstract Due to their high maneuverability, flexible deployment, and line of sight (LoS) transmission, unmanned aerial vehicles (UAVs) could be an alternative option for reliable device-to-device (D2D) communication when a direct link is not available between source and destination devices due to obstacles in the signal propagation path. Therefore, in this paper, we have proposed a UAVs-supported self-organized device-to-device (USSD2D) network where multiple UAVs are employed as aerial relays. We have developed a novel optimization framework that maximizes the total instantaneous transmission rate of the network by jointly optimizing the deployed location of UAVs, device association, and UAVs’ channel selection while ensuring that every device should achieve a given signal to interference noise ratio (SINR) constraint. As this joint optimization problem is nonconvex and combinatorial, we adopt reinforcement learning (RL) based solution methodology that effectively decouples it into three individual optimization problems. The formulated problem is transformed into a Markov decision process (MDP) where UAVs learn the system parameters according to the current state and corresponding action aiming to maximize the generated reward under the current policy. Finally, we conceive SARSA, a low complexity iterative algorithm for updating the current policy in the case of randomly deployed device pairs which achieves a good computational complexity-optimality tradeoff. Numerical results validate the analysis and provide various insights on the optimal deployment of UAVs. The proposed methodology improves the total instantaneous transmission rate of the network by 75.37%, 52.08%, and 14.77% respectively as compared with RS-FORD, ES-FIRD, and AOIV schemes.

SELF-ORGANIZED COLLECTIVE CRYSTAL-LIKE FORMATIONS OF THE ATTRACTIVE/REPULSIVE SWARMING SYSTEM

2013 ◽  
Vol 28 (01) ◽  
pp. 1450003 ◽  
Author(s):  
WEN-QIANG TIAN ◽  
DAN GAO ◽  
YING-GUAN WANG
Keyword(s):  
Steady State ◽  
Numerical Simulations ◽  
Unmanned Aerial Vehicles ◽  
Effective Solution ◽  
Neighbor Distance ◽  
Self Organized ◽  
Aerial Vehicles ◽  
Potential Applications

In this paper, an adaptive attractive/repulsive (A/R) swarming model is proposed to explore the role of self-organized formation in swarming systems. By defining the adjustable A/R range γi, which is affected by the localized steady state of agents, the standard collective crystal-like swarming formations are straightforwardly unfolded in different scale. Meanwhile, with numerical simulations and analyses, the results show that the adaptive A/R swarming model provides an effective solution to the current existing dilemma of the collective liquid-like formation with unexpected neighbor distances and the split crystal-like formation. The actual neighbor distance of the adaptive A/R model could converge to the expected neighbor distance as planned, based on the different settings of the expected neighbor distance and the A/R range. Moreover, such adjustable A/R swarming formations may find their potential applications such as the formation of self-organized multi-robots and unmanned aerial vehicles, the automatic networking of sensors, etc.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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