8 research outputs found

    ΠšΠ»ΡŽΡ‡Π΅Π²Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ связи для ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ систСм управлСния Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ граТданских бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² (ΠΎΠ±Π·ΠΎΡ€ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½ΠΎΠΉ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹)

    Get PDF
    Not less than one hundred thousand Unmanned Aerial Vehicles (UAVs) are expected to perform flights simultaneously in Russia by 2035. The UAV fleet capacity triggers the development of the systems for informational support, operating control and management of UAV flights (Unmanned Aircraft System Traffic Management (UTM) systems) similar to that one already operating in manned aviation. The challenges arising in the sphere of civil aviation cannot be solved without wireless communication. The goals of this article are as follows: 1) familiarization of communication experts with the latest scientific developments of unmanned aerial technologies 2) description of the telecommunication-related problems of extensive systems of UAV control encountered by development engineers. In this article a schematic architecture and main functions of UTM systems are described as well as the examples of their implementation. Special emphasis is put on enhancing flight safety by means of a rational choice of communication technologies to manage conflicts (Conflict Management) known as "collision avoidance". The article analyzes the application of a wide range of wireless technologies ranging from Wi-Fi and Automatic Dependent Surveillance Broadcast (ADS-B) to 5G cellular networks as well as cell-free networks contributing to the development of 6G communication networks. As a result of the analysis, a list of promising research trends at the intersection of the fields of wireless communication and UAVs for civil application is made.ΠžΠΆΠΈΠ΄Π°Π΅Ρ‚ΡΡ, Ρ‡Ρ‚ΠΎ ΠΊ 2035 Π³ΠΎΠ΄Ρƒ Π² Российском Π½Π΅Π±Π΅ Π±ΡƒΠ΄ΡƒΡ‚ ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ Π½Π°Ρ…ΠΎΠ΄ΠΈΡ‚ΡŒΡΡ Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ ста тысяч бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² (БЛА). Вакая Ρ‡ΠΈΡΠ»Π΅Π½Π½ΠΎΡΡ‚ΡŒ Ρ„Π»ΠΎΡ‚Π° БЛА Π΄Π΅Π»Π°Π΅Ρ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹ΠΌ созданиС систСм ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ, контроля ΠΈ управлСния ΠΏΠΎΠ»Π΅Ρ‚Π°ΠΌΠΈ БЛА (Π°Π½Π³Π». Unmanned Aircraft System Traffic Management – UTM), ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Ρ… Ρ‚ΠΎΠΉ, Ρ‡Ρ‚ΠΎ ΡƒΠΆΠ΅ сущСствуСт для ΠΏΠΈΠ»ΠΎΡ‚Π½ΠΎΠΉ Π°Π²ΠΈΠ°Ρ†ΠΈΠΈ. ΠŸΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹, Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‰ΠΈΠ΅ ΠΏΠ΅Ρ€Π΅Π΄ Π°Π²ΠΈΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹ΠΌ сообщСством, Π½Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½Ρ‹ Π±Π΅Π· ΠΏΠΎΠΌΠΎΡ‰ΠΈ бСспроводной связи. ЦСлями Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΎΠ·Π½Π°ΠΊΠΎΠΌΠ»Π΅Π½ΠΈΠ΅ спСциалистов связи с послСдними достиТСниями граТданской бСспилотной Π°Π²ΠΈΠ°Ρ†ΠΈΠΈ ΠΈ описаниС ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ Ρ‚Π΅Π»Π΅ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π°, стоящих ΠΏΠ΅Ρ€Π΅Π΄ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Ρ‡ΠΈΠΊΠ°ΠΌΠΈ ΠΌΠ°ΡΡˆΡ‚Π°Π±Π½Ρ‹Ρ… систСм управлСния БЛА. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Π° ΠΈ Π³Π»Π°Π²Π½Ρ‹Π΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ систСм UTM, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ ΠΈΡ… практичСской Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ. ОсобоС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡƒΠ΄Π΅Π»Π΅Π½ΠΎ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡŽ бСзопасности ΠΏΠΎΠ»Π΅Ρ‚ΠΎΠ² ΠΏΡƒΡ‚Π΅ΠΌ Ρ€Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π²Ρ‹Π±ΠΎΡ€Π° Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ связи для осущСствлСния управлСния ΠΊΠΎΠ½Ρ„Π»ΠΈΠΊΡ‚Π½Ρ‹ΠΌΠΈ ситуациями (Ρ‚Π°ΠΊΠΆΠ΅ извСстного ΠΊΠ°ΠΊ Β«ΠΈΠ·Π±Π΅ΠΆΠ°Π½ΠΈΠ΅ столкновСний»). ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π° ΠΏΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ примСнСния ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ΠΎ спСктра бСспроводных Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ: ΠΎΡ‚ Wi-Fi ΠΈ автоматичСского зависимого наблюдСния Ρ€Π°Π΄ΠΈΠΎΠ²Π΅Ρ‰Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ‚ΠΈΠΏΠ° (АЗН-Π’) Π΄ΠΎ сотовых сСтСй пятого поколСния 5G, Π° Ρ‚Π°ΠΊΠΆΠ΅ бСссотовых сСтСй (Π°Π½Π³Π». cell-free), ΡΠ²Π»ΡΡŽΡ‰ΠΈΡ…ΡΡ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚Π°ΠΌΠΈ для создания сСтСй связи ΡˆΠ΅ΡΡ‚ΠΎΠ³ΠΎ поколСния 6G. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° сформирован список пСрспСктивных Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ исслСдований Π½Π° стыкС областСй бСспроводной связи ΠΈ граТданской бСспилотной Π°Π²ΠΈΠ°Ρ†ΠΈΠΈ

    Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models

    No full text
    Cellular connectivity for UAV systems is interesting because it promises coverage in beyond visual line of sight scenarios. Inter-cell interference has been shown to be the main limiting factor at high altitudes. Using a realistic 3D simulator model, with real base station locations, this study confirms that UAVs at high altitudes suffer from significant interference, resulting in a worse coverage compared to ground users. When replacing the existing base stations by mmWave cells, our results indicate that ground coverage is decreased to only 90%, while UAVs just above rooftop level have a coverage probability of 100%. However, UAVs at higher altitude still suffer from excessive interference. Beamforming has the potential to improve mmWave link budget and to decrease interference and is for this reason a promising technology for ensuring connectivity to aerial users

    Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models

    No full text
    Cellular connectivity for UAV systems is interesting because it promises coverage in beyond visual line of sight scenarios. Inter-cell interference has been shown to be the main limiting factor at high altitudes. Using a realistic 3D simulator model, with real base station locations, this study confirms that UAVs at high altitudes suffer from significant interference, resulting in a worse coverage compared to ground users. When replacing the existing base stations by mmWave cells, our results indicate that ground coverage is decreased to only 90%, while UAVs just above rooftop level have a coverage probability of 100%. However, UAVs at higher altitude still suffer from excessive interference. Beamforming has the potential to improve mmWave link budget and to decrease interference and is for this reason a promising technology for ensuring connectivity to aerial users.status: Published onlin

    Performance evaluation of next generation wireless UAV relay with millimeter-wave in access and backhaul

    Get PDF
    Future wireless communication, particularly densified 5G networks, will bring numerous innovations to the telecommunication industry and will support 100-fold gain in throughput rates, 100-fold in capacity (for at least 100 billion devices), individual user data rate of up-to 10 Gb/s, extremely low latency and response times. In such a scenario, the use of Unmanned Aerial Vehicle (UAV) as a Base Station (gNB) becomes a viable option for providing 5G services, both on-demand and on a regular basis. Recent development of UAVs have made its deployment faster and reliable, resulting in a shift in its usage from traditional military to more commercial and corporate industries. On the other hand, due to the abundant availability of bandwidth in the millimeter-wave band (mmWave), there is an immense potential to utilize this band for next generation radio systems. In this case, smart integration of UAVs in 5G network provides immense potential, however, such network require efficient placement mechanism for providing blazingly fast wireless cellular network services. In this study, we analyze and describe the distinctive characteristics of mmWave propagation. The main goal is to investigate and evaluate the use of mmWave in Access and Back-haul communication links simultaneously for Amplify-and-Forward relays deployed on UAVs. We formulate the required mathematical framework for calculating the UE received power for direct path (gNB-UE) and relay path (gNB-UAV-UE) based on two cases; (i) Friis Transmission Equation and (ii) Log-Distance Path loss Model. We conduct simulations using ray-tracing simulator in different scenarios while comparing and verifying the simulation results vs mathematical equations. For the proposed system architecture, International Telecommunication Union (ITU) recommendation city model is used to calculate the probability for Line of Sight (LoS) and Non Line of Sight (NLoS) paths in different urban environments. Furthermore, we study and identify different parameters i.e., UAV location, and amplification factor to maximize the performance of an Amplify-and-Forward UAV based relay for providing enhanced coverage to the users. Similarly, the optimum UAV-gNB height is evaluated in different urban environments while providing coverage to the users via an Amplify-and-Forward relay. The study concludes with the Signal to Noise Ratio (SNR) analysis for the relay path compared with the direct path where we identify the constraints for effective relaying
    corecore