scholarly journals Optimum Deployment of Multiple UAVs for Coverage Area Maximization in the Presence of Co-Channel Interference

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 85203-85212 ◽  
Author(s):  
Aziz A. Khuwaja ◽  
Gan Zheng ◽  
Yunfei Chen ◽  
Wei Feng
Keyword(s):  
Coverage Area ◽  
Multiple Uavs ◽  
Channel Interference

scholarly journals Efficient Deployment of Multi-UAVs in Massively Crowded Events

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3640 ◽  
Author(s):  
Ahmad Sawalmeh ◽  
Noor Othman ◽  
Hazim Shakhatreh
Keyword(s):  
Circle Packing ◽  
Pso Algorithm ◽  
Base Station ◽  
Coverage Area ◽  
Transmit Power ◽  
Maximum Coverage ◽  
Coverage Density ◽  
Multiple Uavs ◽  
Different Shapes ◽  
Wireless Coverage

In this paper, the efficient 3D placement of UAV as an aerial base station in providing wireless coverage for users in a small and large coverage area is investigated. In the case of providing wireless coverage for outdoor and indoor users in a small area, the Particle Swarm Optimization (PSO) and K-means with Ternary Search (KTS) algorithms are invoked to find an efficient 3D location of a single UAV with the objective of minimizing its required transmit power. It was observed that a single UAV at the 3D location found using the PSO algorithm requires less transmit power, by a factor of 1/5 compared to that when using the KTS algorithm. In the case of providing wireless coverage for users in three different shapes of a large coverage area, namely square, rectangle and circular regions, the problems of finding an efficient placement of multiple UAVs equipped with a directional antenna are formulated with the objective to maximize the coverage area and coverage density using the Circle Packing Theory (CPT). Then, the UAV efficient altitude placement is formulated with the objective of minimizing its required transmit power. It is observed that the large number of UAVs does not necessarily result in the maximum coverage density. Based on the simulation results, the deployment of 16, 19 and 26 UAVs is capable of providing the maximum coverage density of 78.5%, 82.5% and 80.3% for the case of a square region with the dimensions of 2 km × 2 km, a rectangle region with the dimensions of 6 km × 1.8 km and a circular region with the radius of 1.125 km, respectively. These observations are obtained when the UAVs are located at the optimum altitude, where the required transmit power for each UAV is reasonably small.

Analisa Coverage Area Jaringan 4G LTE

2017 ◽  
Vol 5 (1) ◽  
pp. 63
Author(s):  
Maria Ulfah
Keyword(s):  
Coverage Area ◽  
4G Lte

MIMO-OC Scheme to Suppress Co-channel Interference

2010 ◽  
Vol E93-A (6) ◽  
pp. 1244-1247
Author(s):  
Wei Jiong ZHANG ◽  
Xi Lang ZHOU ◽  
Rong Hong JIN
Keyword(s):  
Channel Interference

Design a Cellular System with Different Cluster Size and Investigate the Co Channel Interference Assuming a Limited Geographical Area with Fixed Channel Assignment Strategy

2017 ◽  
Vol 3 (04) ◽  
Author(s):  
Md.Taz Uddin, Ahmed al Marzean, Md Rafiqul Islam, Shahjahan Ahmed
Keyword(s):  
Channel Assignment ◽  
Cluster Size ◽  
Geographical Area ◽  
Cellular System ◽  
Communication Industry ◽  
Mobile Operator ◽  
Channel Interference ◽  
Assignment Strategy ◽  
Fixed Channel Assignment ◽  
Mobile Communication Industry

There are different communication standards in present mobile communication industry. Each of this standards has its own feature, architecture, and channel assignment strategies. Each mobile operator uses one of any standard and their aim is to support as much user as possible to communicate with tolerable interference. For that reason they use different cluster size and frequency planning to cover entire geographical area. To reuse the given bandwidth within the entire geographical area some cells uses same sets of frequency and interference arise when the distance between these cells is small. Also when distance is large then capacity is going low. In this thesis our work is to investigation the co channel interference among different cluster size assuming a limited sub urban geographical area in a cellular GSM network. Also we calculate the number of users using each of this cluster size and finally design a cellular system in this geographical area using best results (minimum interference and maximum capacity).

Deployment of Multiple UAVs for Area Coverage Mission with Static and Mobile Chargers

2021 ◽  
Author(s):  
Chris Moneyron ◽  
Moe Sakamoto ◽  
Mo Rastgaar ◽  
Nina Mahmoudian
Keyword(s):  
Area Coverage ◽  
Multiple Uavs

Model Spasial Regionisasi dan Rujukan Fasilitas Kesehatan

2018 ◽  
Vol 1 (1) ◽  
pp. 78-86
Author(s):  
Agel Vidian Krama ◽  
Nurul Qamilah
Keyword(s):  
Health Services ◽  
Health Care Facilities ◽  
Health Facilities ◽  
Health Centers ◽  
Coverage Area ◽  
Spatial Studies ◽  
Descriptive Research ◽  
Care Facilities ◽  
Health Field ◽  
Research Type

Location Hospital and Health Center in Bandar Lampung and the District Pesawaran not currently mapped by conventional or digital. And there is no data base that provides information about the location and distribution of hospitals and health centers in Bandar Lampung City, and the uneven number of health facilities to ensure the availability of health services for all citizens, by optimizing existing health care facilities. Contributions utilization of spatial studies in the health field is used for mapping and modeling of health in order to facilitate access, provision of efficiency and planning of health services in order to take policy related to determining the location of health facilities. The research method uses spatial model approach with descriptive research type and analysis through the use of Huff Model. The results of the regionization shows the coverage area of hospital services serving 33 points in the District Pesawaran and 24 point Population in Bandar Lampung with the spread of regionization is divided into 3 regions. Keywords: Health Service, Regionalization

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