scholarly journals Optimal Placement of Low-Altitude Aerial Base Station for Securing Communications

2019 ◽  
Vol 8 (3) ◽  
pp. 869-872 ◽  
Author(s):  
Dong Wang ◽  
Bo Bai ◽  
Guangzheng Zhang ◽  
Zhu Han
Keyword(s):  
Base Station ◽  
Optimal Placement ◽  
Low Altitude

Placement of Relay Stations in WiMAX Network Using Glowworm Swarm Optimization

2019 ◽  
Vol 10 (3) ◽  
pp. 39-67
Author(s):  
Sangeetha J ◽  
Keerthiraj Nagaraj ◽  
Ram Prakash Rustagi ◽  
Balasubramanya Murthy K N
Keyword(s):  
Geographic Region ◽  
Base Station ◽  
Optimal Placement ◽  
Network Coverage ◽  
Hardware Complexity ◽  
Swarm Optimization ◽  
Wimax Networks ◽  
Glowworm Swarm Optimization ◽  
The Cost ◽  
The Impact

The Relay Station (RS) deployment problem for WiMAX networks is studied. Unlike Base Station (BS), RS does not need a wire-line backhaul and has much lower hardware complexity. Hence, usage of RSs can significantly minimize the deployment cost and maximize the network coverage of the system. To solve the RS deployment problem, the authors have used a nature inspired technique known as Glowworm Swarm Optimization (GSO). Different cases have been considered for a single fixed BS, to find the feasible number of RSs and its optimal placement in WiMAX networks. Computational experiments are conducted to show the effect of RS deployments in different distribution scenarios. This article also shows the impact of placing RSs at optimal locations to serve given Mobile Stations (MSs) that are distributed arbitrarily in a given geographic region such that the cost is minimized, and the network coverage is maximized. The results obtained from the GSO algorithm are compared with k-means algorithm and it is observed that GSO performs better than k-means algorithm.

Application of Cellular Communications Models and Designs for Use in Disaster-Aftermath Related Scenarios

2015 ◽  
Vol 7 (3) ◽  
pp. 46-56
Author(s):  
Stephen J. Curran
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Ground Level ◽  
Base Station ◽  
Cellular Communications ◽  
Fixed Position ◽  
Above Ground Level ◽  
High Altitude Platforms ◽  
Major Disaster ◽  
Future Strategy ◽  
Low Altitude

This paper is a pilot study on the concept of an aerial base station as a future strategy for restoring cellular communications in the aftermath of a major disaster. The strategy being studied makes use of low altitude platforms (LAPs) or unmanned aerial vehicles (UAVs) that can hover or orbit in a relatively fixed position and can act as an aerial base station. Unlike High Altitude Platforms (HAP) operating in a layer of the atmosphere above any existing air traffic, the LAPs or UAVs will be able to operate a few hundred to some thousands of meters above ground level. This paper also describes the functionality of the components comprising the aerial base station.

scholarly journals On a Strategy of Mobile Networks Synthesis

2021 ◽  
Vol 20 ◽  
pp. 108-111
Author(s):  
Vladimir Lyandres
Keyword(s):  
Mobile Networks ◽  
Channel Assignment ◽  
Euclidean Distance ◽  
Base Station ◽  
Base Stations ◽  
Optimal Placement ◽  
Universal Method ◽  
Optimal Network ◽  
Adaptive Vector Quantization ◽  
Effective Design

Effective design of mobile communication network includes optimization of two bounded together processes: the network base stations placement and the channel assignment. In real environments the well-known cellular concept fails due to not uniformly spaced traffic and not isotropic wave propagation. We find a rather universal method for synthesis of a close to optimal network structure. The proposed design approach is based on the idea of adaptive vector quantization for a map with random traffic. As a result, the service zone of the network becomes discrete and is being transformed to a map with not equal cells and approximately equal number of requests in every one. This fact allows to apply the simplest periodic reuse pattern. The algorithm finds a point with minimal average Euclidean distance from all its requests. This point defines optimal placement of the corresponding base station. The approach guarantees maximum coverage

scholarly journals Cell Coverage Analysis of a Low Altitude Aerial Base Station in Wind Perturbations

2019 ◽  
Author(s):  
Navuday Sharma ◽  
Vishal Sharma ◽  
Maurizio Magarini ◽  
Haris Pervaiz ◽  
Muhammad Mahtab Alam ◽  
...  
Keyword(s):  
Base Station ◽  
Cell Coverage ◽  
Coverage Analysis ◽  
Low Altitude

Research on MS Setover Location Method with LOS on Multilateration

2011 ◽  
Vol 403-408 ◽  
pp. 2329-2332
Author(s):  
Feng Xun Gong ◽  
Yan Qiu Ma ◽  
Li Hua Dai
Keyword(s):  
Base Station ◽  
Base Stations ◽  
Measurement Information ◽  
Short Baseline ◽  
Location Accuracy ◽  
Location Method ◽  
Baseline System ◽  
Low Altitude ◽  
Geometric Dilution Of Precision ◽  
Main Station

Location accuracy for low-altitude targets is not well in Short-Baseline system. A program of main station off-center of eight-station arrangement is proposed. Firstly analyses factors influencing the location accuracy for line-of-sight environments. Then researches the relationship between main station position and location performance, put forwards a location method of main station off-center of eight-station by increasing the base-station number and layout of the main station off-center which realizes multiple coverage of monitoring area using the redundant measurement information by main station off-center and more base stations provided. Finally gets the number of base station and optimal disposition way for low-altitude targets in the airport through simulating geometric dilution of precision (GDOP) distribution. Simulation figures and dates show that the main station off-center of eight-station arrangement can be achieved over 95% coverage of the airport for low-altitude targets location.

scholarly journals Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements

2020 ◽  
Vol 10 (3) ◽  
pp. 2824
Author(s):  
M. M. H. Elroby ◽  
S. F. Mekhamer ◽  
H. E. A. Talaat ◽  
M. A. Moustafa Hassan
Keyword(s):  
Power System ◽  
Minimum Spanning Tree ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Base Station ◽  
Optimal Placement ◽  
Binary Particle Swarm Optimization ◽  
Communication Infrastructure ◽  
Control Center ◽  
System Observability

This paper presents a generalized optimal placement of Phasor Measurement Units (PMUs) considering power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the availability of predefined locations of some PMUs and the preexisting communication devices (CDs) in some buses. Two cases for the location of the Control Center Base Station (CCBS) are considered; predefined case and free selected case. The PMUs placement and their required communication network topology and channel capacity are co-optimized simultaneously. In this study, two different approaches are applied to optimize the objective function; the first approach is combined from Binary Particle Swarm Optimization-Gravitational Search Algorithm (BPSOGSA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based only on BPSOGSA. The feasibility of the proposed approaches are examined by applying it to IEEE 14-bus and IEEE 118-bus systems.

Sign in / Sign up

Export Citation Format

Share Document